Abstract

Background

Nocardia primarily infects patients who are immunocompromised or those with chronic lung disease. Although disseminated infection is widely recognized as an important prognostic factor, studies have been mixed on its impact on outcomes of nocardiosis.

Methods

We performed a retrospective cohort study of adults with culture-confirmed nocardiosis. Advanced infection was defined as disseminated infection, cavitary pulmonary infection, or pleural infection. The primary outcome was 1-year mortality, as analyzed by multivariable Cox regression.

Results

Of 511 patients with culture growth of Nocardia, 374 (73.2%) who had clinical infection were included. The most common infection sites were pulmonary (82.6%), skin (17.9%), and central nervous system (14.2%). In total, 117 (31.3%) patients had advanced infection, including 74 (19.8%) with disseminated infection, 50 (13.4%) with cavitary infection, and 18 (4.8%) with pleural infection. Fifty-nine (15.8%) patients died within 1 year. In multivariable models, disseminated infection was not associated with mortality (hazard ratio, 1.16; 95% CI, .62–2.16; P = .650) while advanced infection was (hazard ratio, 2.48; 95% CI, 1.37–4.49; P = .003). N. farcinica, higher Charlson Comorbidity Index, and culture-confirmed pleural infection were also associated with mortality. Immunocompromised status and combination therapy were not associated with mortality.

Conclusions

Advanced infection, rather than dissemination alone, predicted worse 1-year mortality after nocardiosis. N. farcinica was associated with mortality, even after adjusting for extent of infection. While patients who were immunocompromised had high rates of disseminated and advanced infection, immunocompromised status did not predict mortality after adjustment. Future studies should account for high-risk characteristics and specific infection sites rather than dissemination alone.

Nocardia is a genus of gram-positive, partially acid-fast bacteria that primarily infect patients who are immunocompromised and those with chronic pulmonary disease [1, 2]. The estimated annual incidence of nocardiosis is as high as 0.87 cases per 100 000 people [3, 4]. One-year mortality after nocardiosis is about 25%, with factors such as extent of infection involvement and number of comorbid conditions being associated with mortality [5]. However, few studies have examined risk factors for poor outcomes in this population.

Additionally, there has been conflicting evidence regarding disseminated infection as a risk factor for mortality. Patients with disseminated infection—defined as involvement of 2 noncontiguous sites—were originally identified as high risk >50 years ago [6]. Since then, disseminated infection has been recognized as an important factor to guide therapeutic decisions, such as number of treatment agents and duration of therapy [7]. Yet, there has since been an increase in the proportion of the population with immunocompromising conditions, such as organ transplantation [8], in addition to advances in medical therapy. Recent studies have found disseminated infection to be associated with higher mortality in adjusted and unadjusted analyses [5, 9]. Conversely, contemporary studies of solid organ transplantation among recipients with nocardiosis did not find disseminated infection to predict mortality [10, 11]. One possible explanation for this discrepancy is heterogeneity in those with nondisseminated infection. Differences among patients with immunocompromising conditions, patients who are immunocompetent with chronic lung disease, and patients who are immunocompetent with predisposing exposures such as cutaneous trauma may lead to differences in infection phenotype—namely, some patients may have advanced or invasive infection that has not disseminated at the time of diagnosis.

In this study, we aimed to analyze potential risk factors for 1-year mortality in adjusted analyses. Additionally, we sought to determine if a novel definition of advanced Nocardia infection may predict outcomes better than dissemination alone.

METHODS

Study Design

We performed a multicenter retrospective cohort study of adults with nocardiosis at 3 Mayo Clinic centers in Arizona, Florida, and Minnesota from November 2011 through April 2022. These dates were chosen to correspond with the current electronic system in our microbiology laboratory to allow more complete case acquisition. Patients were obtained from microbiology culture records and screened through predetermined criteria. Inclusion criteria were age ≥18 years and culture growth of a Nocardia species, as well as accompanying signs, symptoms, and/or radiographic findings consistent with clinical Nocardia infection. Exclusion criteria were lack of culture confirmation of Nocardia and lack of research authorization per state statute.

Once cases were screened for inclusion, data were manually extracted from the electronic medical record. Data included demographics, comorbid conditions, presenting characteristics, radiographic characteristics, treatment variables, and post-Nocardia mortality. Study data were collected and managed via REDCap electronic data capture tools. Some patients have been included in separate studies—for example, 25 [12], 64 [13], and 92 [10] case patients with nocardiosis.

Identification and Susceptibility Testing

The clinical microbiology laboratory at Mayo Clinic in Rochester, Minnesota, received specimens for culture, identification, and susceptibility testing from Mayo Clinic sites. Clinical specimens were cultured in broth in mycobacterial growth indicator tubes (BACTEC MGIT 960; Becton Dickinson) and on agar biplates (Middlebrook 7H11/7H11S) incubated at 35 to 37 °C for up to 6 weeks. Positive broth was subcultured to an agar plate (Middlebrook 7H11), and isolated colony growth was identified with Sanger sequencing of a 500-bp region of the 16S rRNA gene as previously described [14]. From August 2014, matrix-assisted laser desorption/ionization–time of flight mass spectrophotometry was introduced for species identification, with Sanger sequencing being reserved for isolates unable to be identified by this technique [15, 16]. Antimicrobial susceptibility testing was performed via broth microdilution with the Trek Sensititre Rapmyco plate and interpreted according to the guidelines of the Clinical and Laboratory Standards Institute [17, 18]. Species identification and antimicrobial susceptibility testing was routinely attempted for all Nocardia isolates.

Definitions

Nocardiosis was defined as culture growth of Nocardia with compatible signs, symptoms, and/or radiographic findings consistent with clinical infection. Nocardia colonization was defined as culture growth of Nocardia without documented signs or symptoms of clinical infection, the presence of an alternate explanation for the clinical findings, or a lack of progression after withholding treatment. The date of Nocardia diagnosis was the date of first culture acquisition that ultimately grew Nocardia. Disseminated infection was defined as involvement of at least 2 noncontiguous organs or isolated central nervous system (CNS) involvement. Advanced infection was defined as the presence of at least 1 of the following: disseminated infection, pulmonary cavitation, or pleural involvement. Pleural involvement was assessed at initial presentation and required a pleural fluid culture yielding Nocardia. A site of infection could otherwise be inferred by radiographic signs compatible with nocardiosis if a primary site had culture confirmation (ie, imaging consistent with brain abscess in the setting of a respiratory culture growing Nocardia and accompanying signs of pulmonary infection). Immunocompromised status was defined as receipt of at least 20 mg/d of prednisone-equivalent corticosteroid, receipt of other immunosuppressive medication, and/or hematopoietic stem cell transplantation (HSCT) within 100 days before Nocardia diagnosis. Immunosuppressant use was assessed in the 28 days prior to Nocardia diagnosis, and corticosteroid dosing was the most recent recorded dose in the past 28 days, converted to equivalent dosing of prednisone. Trimethoprim-sulfamethoxazole (TMP-SMX) prophylaxis was assessed on the date of initial presentation. Active malignancy included radiographic or laboratory evidence of malignancy or receiving antineoplastic chemotherapy within 28 days of diagnosis. Laboratory values were assessed on the date of diagnosis or the most recent prior measurement. CNS symptoms included documentation of headache, confusion, paresthesia, or focal weakness. Combination therapy was defined as receipt of at least 2 initial antibiotic agents. Active antibiotic agents were those that were initially used and later tested susceptible.

Statistical Analysis

Continuous variables were summarized as median (IQR) and categorical variables as number (percentage). The primary outcome was 1-year mortality after diagnosis of nocardiosis. Patients without mortality were censored at last follow-up or 1 year postdiagnosis, whichever occurred first. Kaplan-Meier curves were constructed to illustrate differences in cumulative incidence of mortality after diagnosis between groups. Differences in between-group survival were tested by the log-rank test. Cox proportional hazards regression was then used to analyze associations with the primary outcome. Variables of interest were first analyzed in univariable analyses, followed by multivariable analyses. Two multivariable models were constructed to test disseminated and advanced infection separately, incorporating the same adjuster variables. Adjuster variables were described associations in past studies or suspected confounders with mortality. Adjuster variables and advanced infection were both defined a priori. Additionally, all Cox models were stratified by treatment center. Given that pulmonary cavitation is a subset of pulmonary nocardiosis, the main analyses were repeated in the subgroup of patients with pulmonary involvement. Isolates that were unable to be identified to the species level were assumed to not be N. farcinica, as the standard identification methods should reliably identify this species [15, 16, 19, 20]. Sensitivity analyses were performed excluding isolates with unidentified species to assess this assumption. Given the possibility of Nocardia respiratory colonization being misclassified as true nocardiosis among patients with chronic lung disease who were immunocompetent, a sensitivity analysis was performed excluding these patients. Finally, a sensitivity analysis was performed excluding those without CNS imaging to account for the possibility of unrecognized disseminated infection. The proportional hazards assumption was assessed by Schoenfeld residuals. All analyses were performed with R version 4.2.2 (R Foundation for Statistical Computing).

RESULTS

Baseline Characteristics

Initially, 511 patients were identified with culture growth of Nocardia. After the exclusion of 137 (26.8%) determined to be colonized without clinical disease, 374 patients with nocardiosis were included in this study. The highest proportion were diagnosed at the center in Arizona (n = 162, 43.3%), followed by Minnesota (n = 124, 33.2%) and Florida (n = 88, 23.5%). The number of nocardiosis cases appeared to increase over the study period (Figure 1). The median age was 65.3 years (IQR, 51.0–72.6), and a majority were male (n = 210, 56.1%). An overall 117 (31.3%) were recipients of solid organ transplantation (Supplementary Table 1); 38 (10.2%) had previously received an HSCT; and 43 (11.5%) had evidence of active malignancy at diagnosis. The median time from solid organ transplantation to diagnosis was 484.0 days (IQR, 204.0–1636.0), and that for recipients of HSCT was 524.5 days (IQR, 190.0–1836.0). HSCTs included 28 allogeneic and 10 autologous transplants. Only 1 recipient of autologous HSCT did not meet criteria for immunocompromised status. In total 213 (57.0%) patients had received an immunosuppressant medication within 28 days of diagnosis. The most common medication was corticosteroids (n = 178, 47.6%). The median daily prednisone equivalent dose was 10.0 mg (IQR, 5.0–17.0). Thirteen patients receiving corticosteroids did not meet criteria for immunocompromised status (daily prednisone equivalent dose range, 5.0–17.5 mg). No patients were living with HIV. Additional baseline characteristics are shown in Table 1.

Number of patients with nocardiosis by year of diagnosis. Note that 2011 included only November and December while 2022 included only January through April.
Figure 1.

Number of patients with nocardiosis by year of diagnosis. Note that 2011 included only November and December while 2022 included only January through April.

Table 1.

Baseline Characteristics of 374 Patients With Nocardiosis

Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Age, y65.4 (56.9–73.6)63.9 (57.6–69.6)65.3 (57.0–72.6)
Male sex162 (54.0)48 (64.9)210 (56.1)
Race
 American Indian or Alaska Native5 (1.7)2 (2.7)7 (1.9)
 Asian9 (3.0)1 (1.4)10 (2.7)
 Black or African American11 (3.7)5 (6.8)16 (4.3)
 Native Hawaiian or other Pacific Islander1 (0.3)0 (0.0)1 (0.3)
 White271 (90.7)66 (89.2)338 (90.4)
 Other1 (0.3)0 (0.0)1 (0.3)
 Unknown1 (0.3)0 (0.0)1 (0.3)
Ethnicity
 Hispanic or Latino18 (6.0)3 (4.1)21 (5.6)
 Not Hispanic or Latino281 (93.7)70 (94.6)351 (93.9)
 Unknown1 (0.3)1 (1.4)2 (0.5)
Charlson Comorbidity Index2.0 (1.0–3.0)3.0 (2.0–4.0)2.0 (1.0–4.0)
Chronic pulmonary disease144 (48.0)12 (16.2)156 (41.7)
 Bronchiectasis82 (56.9)1 (8.3)83 (53.2)
 COPD34 (23.6)8 (66.7)42 (26.9)
 Cystic fibrosis2 (1.4)0 (0.0)2 (1.3)
 Interstitial lung disease21 (14.6)3 (25.0)24 (15.4)
 Othera5 (3.5)0 (0.0)5 (3.2)
Diabetes mellitus62 (20.7)22 (29.7)84 (22.5)
Chronic kidney diseaseb100 (33.3)36 (48.6)136 (36.4)
Chronic hemodialysis5 (1.7)2 (2.7)7 (1.9)
Immunocompromised status142 (47.3)58 (78.4)200 (53.5)
Solid organ transplant81 (27.0)36 (48.6)117 (31.3)
Hematopoietic stem cell transplant32 (10.7)6 (8.1)38 (10.2)
Active malignancy35 (11.7)8 (10.8)43 (11.5)
Immunosuppressant use152 (50.7)61 (82.4)213 (57.0)
 Corticosteroid126 (42.0)52 (70.3)178 (47.6)
 Tacrolimus89 (29.7)37 (50.0)126 (33.7)
 Mycophenolate65 (21.7)32 (42.2)97 (25.9)
 Chemotherapy15 (5.0)5 (6.8)20 (5.3)
 Azathioprine6 (2.0)2 (2.7)8 (2.1)
 Cyclosporine6 (2.0)2 (2.7)8 (2.1)
 Ruxolitinib6 (2.0)2 (2.7)8 (2.1)
 Anti-CD20 antibody5 (1.7)3 (4.1)8 (2.1)
 Methotrexate6 (2.0)1 (1.4)7 (1.9)
 TNF-α inhibitor4 (1.3)2 (2.7)6 (1.6)
 Other immunosuppressionc7 (2.3)4 (5.4)11 (2.9)
Immunocompetent
 With chronic lung disease102 (34.0)2 (2.7)104 (27.8)
 Without chronic lung disease56 (18.7)14 (18.9)70 (18.7)
TMP-SMX primary prophylaxis35 (11.7)11 (14.9)46 (12.3)
N farcinica53 (17.7)27 (36.5)80 (21.4)
Advanced infection43 (14.3)74 (100.0)117 (31.3)
Count, ×109/L
 Leukocyte (n = 370)8.1 (5.8–10.4)9.2 (5.8–14.0)8.2 (5.7–10.9)
 Lymphocyte (n = 361)1.1 (0.5–1.7)0.6 (0.3–1.0)1.0 (0.5–1.6)
 Neutrophil (n = 361)5.4 (3.6–7.9)7.2 (3.9–12.6)5.6 (3.6–8.4)
Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Age, y65.4 (56.9–73.6)63.9 (57.6–69.6)65.3 (57.0–72.6)
Male sex162 (54.0)48 (64.9)210 (56.1)
Race
 American Indian or Alaska Native5 (1.7)2 (2.7)7 (1.9)
 Asian9 (3.0)1 (1.4)10 (2.7)
 Black or African American11 (3.7)5 (6.8)16 (4.3)
 Native Hawaiian or other Pacific Islander1 (0.3)0 (0.0)1 (0.3)
 White271 (90.7)66 (89.2)338 (90.4)
 Other1 (0.3)0 (0.0)1 (0.3)
 Unknown1 (0.3)0 (0.0)1 (0.3)
Ethnicity
 Hispanic or Latino18 (6.0)3 (4.1)21 (5.6)
 Not Hispanic or Latino281 (93.7)70 (94.6)351 (93.9)
 Unknown1 (0.3)1 (1.4)2 (0.5)
Charlson Comorbidity Index2.0 (1.0–3.0)3.0 (2.0–4.0)2.0 (1.0–4.0)
Chronic pulmonary disease144 (48.0)12 (16.2)156 (41.7)
 Bronchiectasis82 (56.9)1 (8.3)83 (53.2)
 COPD34 (23.6)8 (66.7)42 (26.9)
 Cystic fibrosis2 (1.4)0 (0.0)2 (1.3)
 Interstitial lung disease21 (14.6)3 (25.0)24 (15.4)
 Othera5 (3.5)0 (0.0)5 (3.2)
Diabetes mellitus62 (20.7)22 (29.7)84 (22.5)
Chronic kidney diseaseb100 (33.3)36 (48.6)136 (36.4)
Chronic hemodialysis5 (1.7)2 (2.7)7 (1.9)
Immunocompromised status142 (47.3)58 (78.4)200 (53.5)
Solid organ transplant81 (27.0)36 (48.6)117 (31.3)
Hematopoietic stem cell transplant32 (10.7)6 (8.1)38 (10.2)
Active malignancy35 (11.7)8 (10.8)43 (11.5)
Immunosuppressant use152 (50.7)61 (82.4)213 (57.0)
 Corticosteroid126 (42.0)52 (70.3)178 (47.6)
 Tacrolimus89 (29.7)37 (50.0)126 (33.7)
 Mycophenolate65 (21.7)32 (42.2)97 (25.9)
 Chemotherapy15 (5.0)5 (6.8)20 (5.3)
 Azathioprine6 (2.0)2 (2.7)8 (2.1)
 Cyclosporine6 (2.0)2 (2.7)8 (2.1)
 Ruxolitinib6 (2.0)2 (2.7)8 (2.1)
 Anti-CD20 antibody5 (1.7)3 (4.1)8 (2.1)
 Methotrexate6 (2.0)1 (1.4)7 (1.9)
 TNF-α inhibitor4 (1.3)2 (2.7)6 (1.6)
 Other immunosuppressionc7 (2.3)4 (5.4)11 (2.9)
Immunocompetent
 With chronic lung disease102 (34.0)2 (2.7)104 (27.8)
 Without chronic lung disease56 (18.7)14 (18.9)70 (18.7)
TMP-SMX primary prophylaxis35 (11.7)11 (14.9)46 (12.3)
N farcinica53 (17.7)27 (36.5)80 (21.4)
Advanced infection43 (14.3)74 (100.0)117 (31.3)
Count, ×109/L
 Leukocyte (n = 370)8.1 (5.8–10.4)9.2 (5.8–14.0)8.2 (5.7–10.9)
 Lymphocyte (n = 361)1.1 (0.5–1.7)0.6 (0.3–1.0)1.0 (0.5–1.6)
 Neutrophil (n = 361)5.4 (3.6–7.9)7.2 (3.9–12.6)5.6 (3.6–8.4)

Data are No. (%) or median (IQR).

Abbreviations: COPD, chronic obstructive pulmonary disease; TMP-SMX, trimethoprim-sulfamethoxazole; TNF, tumor necrosis factor.

a

Other chronic pulmonary diseases include asthma (n = 3), Mounier-Kuhn syndrome (n = 1), and chronic tracheal stenosis (n = 1).

b

Chronic kidney disease was defined as a baseline estimated glomerular filtration rate <60 mL/min/1.73 m2, as calculated by the 2021 CKD-EPI equation (Chronic Kidney Disease Epidemiology Collaboration).

c

Other immunosuppression includes ibrutinib (n = 3), acalabrutinib (n = 2), sirolimus (n = 3), belatacept (n = 2), and leflunomide (n = 1).

Table 1.

Baseline Characteristics of 374 Patients With Nocardiosis

Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Age, y65.4 (56.9–73.6)63.9 (57.6–69.6)65.3 (57.0–72.6)
Male sex162 (54.0)48 (64.9)210 (56.1)
Race
 American Indian or Alaska Native5 (1.7)2 (2.7)7 (1.9)
 Asian9 (3.0)1 (1.4)10 (2.7)
 Black or African American11 (3.7)5 (6.8)16 (4.3)
 Native Hawaiian or other Pacific Islander1 (0.3)0 (0.0)1 (0.3)
 White271 (90.7)66 (89.2)338 (90.4)
 Other1 (0.3)0 (0.0)1 (0.3)
 Unknown1 (0.3)0 (0.0)1 (0.3)
Ethnicity
 Hispanic or Latino18 (6.0)3 (4.1)21 (5.6)
 Not Hispanic or Latino281 (93.7)70 (94.6)351 (93.9)
 Unknown1 (0.3)1 (1.4)2 (0.5)
Charlson Comorbidity Index2.0 (1.0–3.0)3.0 (2.0–4.0)2.0 (1.0–4.0)
Chronic pulmonary disease144 (48.0)12 (16.2)156 (41.7)
 Bronchiectasis82 (56.9)1 (8.3)83 (53.2)
 COPD34 (23.6)8 (66.7)42 (26.9)
 Cystic fibrosis2 (1.4)0 (0.0)2 (1.3)
 Interstitial lung disease21 (14.6)3 (25.0)24 (15.4)
 Othera5 (3.5)0 (0.0)5 (3.2)
Diabetes mellitus62 (20.7)22 (29.7)84 (22.5)
Chronic kidney diseaseb100 (33.3)36 (48.6)136 (36.4)
Chronic hemodialysis5 (1.7)2 (2.7)7 (1.9)
Immunocompromised status142 (47.3)58 (78.4)200 (53.5)
Solid organ transplant81 (27.0)36 (48.6)117 (31.3)
Hematopoietic stem cell transplant32 (10.7)6 (8.1)38 (10.2)
Active malignancy35 (11.7)8 (10.8)43 (11.5)
Immunosuppressant use152 (50.7)61 (82.4)213 (57.0)
 Corticosteroid126 (42.0)52 (70.3)178 (47.6)
 Tacrolimus89 (29.7)37 (50.0)126 (33.7)
 Mycophenolate65 (21.7)32 (42.2)97 (25.9)
 Chemotherapy15 (5.0)5 (6.8)20 (5.3)
 Azathioprine6 (2.0)2 (2.7)8 (2.1)
 Cyclosporine6 (2.0)2 (2.7)8 (2.1)
 Ruxolitinib6 (2.0)2 (2.7)8 (2.1)
 Anti-CD20 antibody5 (1.7)3 (4.1)8 (2.1)
 Methotrexate6 (2.0)1 (1.4)7 (1.9)
 TNF-α inhibitor4 (1.3)2 (2.7)6 (1.6)
 Other immunosuppressionc7 (2.3)4 (5.4)11 (2.9)
Immunocompetent
 With chronic lung disease102 (34.0)2 (2.7)104 (27.8)
 Without chronic lung disease56 (18.7)14 (18.9)70 (18.7)
TMP-SMX primary prophylaxis35 (11.7)11 (14.9)46 (12.3)
N farcinica53 (17.7)27 (36.5)80 (21.4)
Advanced infection43 (14.3)74 (100.0)117 (31.3)
Count, ×109/L
 Leukocyte (n = 370)8.1 (5.8–10.4)9.2 (5.8–14.0)8.2 (5.7–10.9)
 Lymphocyte (n = 361)1.1 (0.5–1.7)0.6 (0.3–1.0)1.0 (0.5–1.6)
 Neutrophil (n = 361)5.4 (3.6–7.9)7.2 (3.9–12.6)5.6 (3.6–8.4)
Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Age, y65.4 (56.9–73.6)63.9 (57.6–69.6)65.3 (57.0–72.6)
Male sex162 (54.0)48 (64.9)210 (56.1)
Race
 American Indian or Alaska Native5 (1.7)2 (2.7)7 (1.9)
 Asian9 (3.0)1 (1.4)10 (2.7)
 Black or African American11 (3.7)5 (6.8)16 (4.3)
 Native Hawaiian or other Pacific Islander1 (0.3)0 (0.0)1 (0.3)
 White271 (90.7)66 (89.2)338 (90.4)
 Other1 (0.3)0 (0.0)1 (0.3)
 Unknown1 (0.3)0 (0.0)1 (0.3)
Ethnicity
 Hispanic or Latino18 (6.0)3 (4.1)21 (5.6)
 Not Hispanic or Latino281 (93.7)70 (94.6)351 (93.9)
 Unknown1 (0.3)1 (1.4)2 (0.5)
Charlson Comorbidity Index2.0 (1.0–3.0)3.0 (2.0–4.0)2.0 (1.0–4.0)
Chronic pulmonary disease144 (48.0)12 (16.2)156 (41.7)
 Bronchiectasis82 (56.9)1 (8.3)83 (53.2)
 COPD34 (23.6)8 (66.7)42 (26.9)
 Cystic fibrosis2 (1.4)0 (0.0)2 (1.3)
 Interstitial lung disease21 (14.6)3 (25.0)24 (15.4)
 Othera5 (3.5)0 (0.0)5 (3.2)
Diabetes mellitus62 (20.7)22 (29.7)84 (22.5)
Chronic kidney diseaseb100 (33.3)36 (48.6)136 (36.4)
Chronic hemodialysis5 (1.7)2 (2.7)7 (1.9)
Immunocompromised status142 (47.3)58 (78.4)200 (53.5)
Solid organ transplant81 (27.0)36 (48.6)117 (31.3)
Hematopoietic stem cell transplant32 (10.7)6 (8.1)38 (10.2)
Active malignancy35 (11.7)8 (10.8)43 (11.5)
Immunosuppressant use152 (50.7)61 (82.4)213 (57.0)
 Corticosteroid126 (42.0)52 (70.3)178 (47.6)
 Tacrolimus89 (29.7)37 (50.0)126 (33.7)
 Mycophenolate65 (21.7)32 (42.2)97 (25.9)
 Chemotherapy15 (5.0)5 (6.8)20 (5.3)
 Azathioprine6 (2.0)2 (2.7)8 (2.1)
 Cyclosporine6 (2.0)2 (2.7)8 (2.1)
 Ruxolitinib6 (2.0)2 (2.7)8 (2.1)
 Anti-CD20 antibody5 (1.7)3 (4.1)8 (2.1)
 Methotrexate6 (2.0)1 (1.4)7 (1.9)
 TNF-α inhibitor4 (1.3)2 (2.7)6 (1.6)
 Other immunosuppressionc7 (2.3)4 (5.4)11 (2.9)
Immunocompetent
 With chronic lung disease102 (34.0)2 (2.7)104 (27.8)
 Without chronic lung disease56 (18.7)14 (18.9)70 (18.7)
TMP-SMX primary prophylaxis35 (11.7)11 (14.9)46 (12.3)
N farcinica53 (17.7)27 (36.5)80 (21.4)
Advanced infection43 (14.3)74 (100.0)117 (31.3)
Count, ×109/L
 Leukocyte (n = 370)8.1 (5.8–10.4)9.2 (5.8–14.0)8.2 (5.7–10.9)
 Lymphocyte (n = 361)1.1 (0.5–1.7)0.6 (0.3–1.0)1.0 (0.5–1.6)
 Neutrophil (n = 361)5.4 (3.6–7.9)7.2 (3.9–12.6)5.6 (3.6–8.4)

Data are No. (%) or median (IQR).

Abbreviations: COPD, chronic obstructive pulmonary disease; TMP-SMX, trimethoprim-sulfamethoxazole; TNF, tumor necrosis factor.

a

Other chronic pulmonary diseases include asthma (n = 3), Mounier-Kuhn syndrome (n = 1), and chronic tracheal stenosis (n = 1).

b

Chronic kidney disease was defined as a baseline estimated glomerular filtration rate <60 mL/min/1.73 m2, as calculated by the 2021 CKD-EPI equation (Chronic Kidney Disease Epidemiology Collaboration).

c

Other immunosuppression includes ibrutinib (n = 3), acalabrutinib (n = 2), sirolimus (n = 3), belatacept (n = 2), and leflunomide (n = 1).

Seventy-four patients (19.7%) had disseminated infection at diagnosis. Among patients with localized infection, the most common sites of involvement were the lungs (n = 243, 81.3%) and skin (n = 42, 14.0%). Of patients with disseminated infection, 53 (71.6%) had CNS involvement and 14 (18.9%) were bacteremic (Table 2). Mutually exclusive specific sites of infection are detailed in Supplementary Table 2. The most common Nocardia species isolated were N cyriacigeorgica (n = 81, 21.7%) and N farcinica (n = 80, 21.4%). Ten (2.7%) isolates’ species were unidentified (Supplementary Figure 1). Antimicrobial susceptibility results were available for 366 (97.9%) isolates (Supplementary Table 3). Isolates were universally susceptible to linezolid (n = 366, 100%), and nearly all were susceptible to TMP-SMX (n = 350, 95.6%) and amikacin (n = 331, 90.4%).

Table 2.

Sites of Nocardia Infection

Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Lungs243 (81.0)66 (89.2)309 (82.6)
Pleura14 (4.7)4 (5.4)18 (4.8)
Skin42 (14.0)25 (33.8)67 (17.9)
CNS0 (0.0)53 (71.6)53 (14.2)
Blood1 (0.3)14 (18.9)15 (4.0)
Lymph node1 (0.3)4 (5.4)5 (1.3)
Joint3 (1.0)2 (2.7)5 (1.3)
Bone3 (1.0)1 (1.4)4 (1.1)
Endocarditis0 (0.0)1 (1.4)1 (0.3)
Other6 (2.0)a15 (20.3)b21 (5.6)
Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Lungs243 (81.0)66 (89.2)309 (82.6)
Pleura14 (4.7)4 (5.4)18 (4.8)
Skin42 (14.0)25 (33.8)67 (17.9)
CNS0 (0.0)53 (71.6)53 (14.2)
Blood1 (0.3)14 (18.9)15 (4.0)
Lymph node1 (0.3)4 (5.4)5 (1.3)
Joint3 (1.0)2 (2.7)5 (1.3)
Bone3 (1.0)1 (1.4)4 (1.1)
Endocarditis0 (0.0)1 (1.4)1 (0.3)
Other6 (2.0)a15 (20.3)b21 (5.6)

Data are No. (%). These sites are not mutually exclusive, and the column sum may exceed 100%. The only overlap in the nondisseminated group is that some patients with lung involvement may have also had pleural involvement.

Abbreviation: CNS, central nervous system.

a

Other localized sites included tenosynovitis (n = 2), keratitis, sinusitis, thyroiditis, and vocal cords.

b

Other disseminated sites included muscle abscess (n = 3), pelvic abscess (n = 3), bone marrow (n = 2), choroiditis, intra-abdominal abscess, liver, perinephric abscess, peritonitis, subglottic mass, and thrombophlebitis.

Table 2.

Sites of Nocardia Infection

Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Lungs243 (81.0)66 (89.2)309 (82.6)
Pleura14 (4.7)4 (5.4)18 (4.8)
Skin42 (14.0)25 (33.8)67 (17.9)
CNS0 (0.0)53 (71.6)53 (14.2)
Blood1 (0.3)14 (18.9)15 (4.0)
Lymph node1 (0.3)4 (5.4)5 (1.3)
Joint3 (1.0)2 (2.7)5 (1.3)
Bone3 (1.0)1 (1.4)4 (1.1)
Endocarditis0 (0.0)1 (1.4)1 (0.3)
Other6 (2.0)a15 (20.3)b21 (5.6)
Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Lungs243 (81.0)66 (89.2)309 (82.6)
Pleura14 (4.7)4 (5.4)18 (4.8)
Skin42 (14.0)25 (33.8)67 (17.9)
CNS0 (0.0)53 (71.6)53 (14.2)
Blood1 (0.3)14 (18.9)15 (4.0)
Lymph node1 (0.3)4 (5.4)5 (1.3)
Joint3 (1.0)2 (2.7)5 (1.3)
Bone3 (1.0)1 (1.4)4 (1.1)
Endocarditis0 (0.0)1 (1.4)1 (0.3)
Other6 (2.0)a15 (20.3)b21 (5.6)

Data are No. (%). These sites are not mutually exclusive, and the column sum may exceed 100%. The only overlap in the nondisseminated group is that some patients with lung involvement may have also had pleural involvement.

Abbreviation: CNS, central nervous system.

a

Other localized sites included tenosynovitis (n = 2), keratitis, sinusitis, thyroiditis, and vocal cords.

b

Other disseminated sites included muscle abscess (n = 3), pelvic abscess (n = 3), bone marrow (n = 2), choroiditis, intra-abdominal abscess, liver, perinephric abscess, peritonitis, subglottic mass, and thrombophlebitis.

Patients with chronic pulmonary disease who were not immunocompromised represented 27.8% of the total cohort. Only 2 (1.9%) had disseminated infection, both with cavitary pulmonary infection and involvement of either the CNS or skin.

Nondisseminated cases included 1 each with pleural involvement and vocal cord involvement, while the remaining 100 featured localized pulmonary infection. Of these 100 with localized pulmonary infection, 6 had lung cavitation.

Patients infected with N farcinica had a higher rate of CNS imaging (78.8% vs 68.0%) and received a comparable number of initial antibiotics (median [IQR], 2.0 [1.0–3.0] vs 2.0 [1.0–2.0]) and active antibiotics (1.0 [1.0–2.0] for both groups). Initial antibiotic use was similar between those with N. farcinica and non–N. farcinica species, with slightly higher rates of amoxicillin-clavulanate, imipenem, linezolid, moxifloxacin, and meropenem usage and a lower rate of ceftriaxone usage (6.2% vs 10.5%).

Presenting Characteristics

A total of 226 (60.4%) patients were hospitalized for nocardiosis, with 36 (9.6%) being admitted or transferred to the intensive care unit. Nineteen (5.1%) required invasive mechanical ventilation, and 14 (3.7%) required vasopressor support for shock. The median hospital length of stay was 7.0 days (IQR, 4.0–14.0), which was longer for those with disseminated infection (12.0 vs 6.0 days). The median time from symptom onset to diagnosis was 17.0 days (IQR, 7.0–63.2), which was shorter in patients with disseminated infection. The most common presenting symptoms were cough (n = 224, 59.9%), malaise (n = 147, 39.3%), dyspnea (n = 143, 38.2%), and fever (n = 94, 25.1%). Forty-two (11.2%) had documented CNS symptoms, such as headache (n = 21, 5.6%), confusion (n = 16, 4.3%), focal weakness (n = 14, 3.7%), and paresthesia (n = 6, 1.6%). Of 309 (82.6%) patients with pulmonary involvement, 297 (96.1%) underwent computed tomography of the chest. This showed that 50 (16.8%) had cavitary infection and 220 (74.1%) had pulmonary nodules. Additional presenting and treatment characteristics are included in Table 3. Forty-six (12.3%) were receiving TMP-SMX primary prophylaxis at diagnosis. The most common initial antibiotic agent for treatment was TMP-SMX (n = 283, 75.7%), and 207 (55.3%) initially received combination therapy. Frequencies of all initial antibiotic agents as well as TMP-SMX primary prophylaxis dosing are presented in Supplementary Table 4. Patients who completed treatment received a median 190.0 days (IQR, 102.0–299.5) of therapy. This was twice as long for those with disseminated infection (median, 365.0 days) vs localized infection (182.0 days).

Table 3.

Presenting and Treatment Characteristics

Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Time from symptom onset to diagnosis, d19.0 (7.0–76.5)10.0 (7.0–28.5)17.0 (7.0–63.2)
CNS symptoms13 (4.3)29 (39.2)42 (11.2)
Brain imaging189 (63.0)74 (100.0)263 (70.3)
 Head CT102 (34.3)41 (54.1)143 (38.2)
 Brain MRI125 (42.0)69 (91.9)194 (51.9)
Chest CT255 (85.0)70 (94.6)325 (86.9)
Hospitalization154 (51.3)72 (97.3)226 (60.4)
ICU admission19 (6.3)17 (23.0)36 (9.6)
Procedural intervention37 (12.3)29 (39.2)66 (17.6)
 Neurosurgery0 (0.0)14 (18.9)14 (3.7)
 Thoracic surgery6 (2.0)4 (5.4)10 (2.7)
 Orthopedic surgery6 (2.0)2 (2.7)8 (2.1)
 Soft tissue debridement22 (7.3)7 (9.5)29 (7.8)
 Other5 (1.7)2 (2.7)7 (1.9)
Time from culture ascertainment to treatment start, d7.0 (1.0–20.0)3.0 (1.0–5.0)5.0 (1.0–17.0)
Initial combination therapy138 (46.0)69 (93.2)207 (55.3)
No. of initial agents1.0 (1.0–2.0)2.0 (2.0–3.0)2.0 (1.0–2.0)
No. of active initial agents (n = 366)a1.0 (1.0–2.0)2.0 (2.0–2.0)1.0 (1.0–2.0)
Length of therapy (n = 310)b182.0 (92.5–247.5)365.0 (207.5–428.5)190.0 (102.0–299.5)
Secondary prophylaxis (n = 310)b53 (20.5)21 (41.2)74 (23.9)
Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Time from symptom onset to diagnosis, d19.0 (7.0–76.5)10.0 (7.0–28.5)17.0 (7.0–63.2)
CNS symptoms13 (4.3)29 (39.2)42 (11.2)
Brain imaging189 (63.0)74 (100.0)263 (70.3)
 Head CT102 (34.3)41 (54.1)143 (38.2)
 Brain MRI125 (42.0)69 (91.9)194 (51.9)
Chest CT255 (85.0)70 (94.6)325 (86.9)
Hospitalization154 (51.3)72 (97.3)226 (60.4)
ICU admission19 (6.3)17 (23.0)36 (9.6)
Procedural intervention37 (12.3)29 (39.2)66 (17.6)
 Neurosurgery0 (0.0)14 (18.9)14 (3.7)
 Thoracic surgery6 (2.0)4 (5.4)10 (2.7)
 Orthopedic surgery6 (2.0)2 (2.7)8 (2.1)
 Soft tissue debridement22 (7.3)7 (9.5)29 (7.8)
 Other5 (1.7)2 (2.7)7 (1.9)
Time from culture ascertainment to treatment start, d7.0 (1.0–20.0)3.0 (1.0–5.0)5.0 (1.0–17.0)
Initial combination therapy138 (46.0)69 (93.2)207 (55.3)
No. of initial agents1.0 (1.0–2.0)2.0 (2.0–3.0)2.0 (1.0–2.0)
No. of active initial agents (n = 366)a1.0 (1.0–2.0)2.0 (2.0–2.0)1.0 (1.0–2.0)
Length of therapy (n = 310)b182.0 (92.5–247.5)365.0 (207.5–428.5)190.0 (102.0–299.5)
Secondary prophylaxis (n = 310)b53 (20.5)21 (41.2)74 (23.9)

Data are No. (%) or median (IQR).

Abbreviations: CNS, central nervous system; CT, computed tomography; ICU, intensive care unit; MRI, magnetic resonance imaging.

a

Excluding patients without available antimicrobial susceptibility testing results.

b

Excluding patients who either died prior to completing therapy or had not yet completed therapy.

Table 3.

Presenting and Treatment Characteristics

Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Time from symptom onset to diagnosis, d19.0 (7.0–76.5)10.0 (7.0–28.5)17.0 (7.0–63.2)
CNS symptoms13 (4.3)29 (39.2)42 (11.2)
Brain imaging189 (63.0)74 (100.0)263 (70.3)
 Head CT102 (34.3)41 (54.1)143 (38.2)
 Brain MRI125 (42.0)69 (91.9)194 (51.9)
Chest CT255 (85.0)70 (94.6)325 (86.9)
Hospitalization154 (51.3)72 (97.3)226 (60.4)
ICU admission19 (6.3)17 (23.0)36 (9.6)
Procedural intervention37 (12.3)29 (39.2)66 (17.6)
 Neurosurgery0 (0.0)14 (18.9)14 (3.7)
 Thoracic surgery6 (2.0)4 (5.4)10 (2.7)
 Orthopedic surgery6 (2.0)2 (2.7)8 (2.1)
 Soft tissue debridement22 (7.3)7 (9.5)29 (7.8)
 Other5 (1.7)2 (2.7)7 (1.9)
Time from culture ascertainment to treatment start, d7.0 (1.0–20.0)3.0 (1.0–5.0)5.0 (1.0–17.0)
Initial combination therapy138 (46.0)69 (93.2)207 (55.3)
No. of initial agents1.0 (1.0–2.0)2.0 (2.0–3.0)2.0 (1.0–2.0)
No. of active initial agents (n = 366)a1.0 (1.0–2.0)2.0 (2.0–2.0)1.0 (1.0–2.0)
Length of therapy (n = 310)b182.0 (92.5–247.5)365.0 (207.5–428.5)190.0 (102.0–299.5)
Secondary prophylaxis (n = 310)b53 (20.5)21 (41.2)74 (23.9)
Nondisseminated (n = 300)Disseminated (n = 74)Total (N = 374)
Time from symptom onset to diagnosis, d19.0 (7.0–76.5)10.0 (7.0–28.5)17.0 (7.0–63.2)
CNS symptoms13 (4.3)29 (39.2)42 (11.2)
Brain imaging189 (63.0)74 (100.0)263 (70.3)
 Head CT102 (34.3)41 (54.1)143 (38.2)
 Brain MRI125 (42.0)69 (91.9)194 (51.9)
Chest CT255 (85.0)70 (94.6)325 (86.9)
Hospitalization154 (51.3)72 (97.3)226 (60.4)
ICU admission19 (6.3)17 (23.0)36 (9.6)
Procedural intervention37 (12.3)29 (39.2)66 (17.6)
 Neurosurgery0 (0.0)14 (18.9)14 (3.7)
 Thoracic surgery6 (2.0)4 (5.4)10 (2.7)
 Orthopedic surgery6 (2.0)2 (2.7)8 (2.1)
 Soft tissue debridement22 (7.3)7 (9.5)29 (7.8)
 Other5 (1.7)2 (2.7)7 (1.9)
Time from culture ascertainment to treatment start, d7.0 (1.0–20.0)3.0 (1.0–5.0)5.0 (1.0–17.0)
Initial combination therapy138 (46.0)69 (93.2)207 (55.3)
No. of initial agents1.0 (1.0–2.0)2.0 (2.0–3.0)2.0 (1.0–2.0)
No. of active initial agents (n = 366)a1.0 (1.0–2.0)2.0 (2.0–2.0)1.0 (1.0–2.0)
Length of therapy (n = 310)b182.0 (92.5–247.5)365.0 (207.5–428.5)190.0 (102.0–299.5)
Secondary prophylaxis (n = 310)b53 (20.5)21 (41.2)74 (23.9)

Data are No. (%) or median (IQR).

Abbreviations: CNS, central nervous system; CT, computed tomography; ICU, intensive care unit; MRI, magnetic resonance imaging.

a

Excluding patients without available antimicrobial susceptibility testing results.

b

Excluding patients who either died prior to completing therapy or had not yet completed therapy.

An overall 117 (31.3%) patients met criteria for advanced infection. These nonmutually exclusive categories included 74 (63.2%) with disseminated infection, 50 (42.7%) with cavitary pulmonary infection, and 18 (15.4%) with pleural involvement. Among those with pleural involvement, pleural cultures were collected on the date of first positive culture ascertainment in all but 2 patients (range, 0–2 days). Characteristics of those with and without advanced infection are summarized in Supplementary Table 5.

Risk Factors for Mortality

In total, 59 patients (16.2% by inversed Kaplan-Meier estimation) died within 1 year of diagnosis (Supplementary Figure 2). Median time to death was 109.0 days (IQR, 26.5–258.5). Of the remaining patients, all but 37 had complete 1-year follow-up. These 37 had a median follow-up of 287.0 days (IQR, 154.0–322.0). Kaplan-Meier curves of survival by site of infection are shown in Supplementary Figure 3. Patients with disseminated infection, cavitary pulmonary infection, pleural infection, and advanced infection had lower 1-year survival (Figure 2). Patients who had a Charlson Comorbidity Index (CCI) ≥5, immunocompromised status, and N farcinica had significantly higher 1-year mortality (Supplementary Figures 4–6). Patients with advanced infection without dissemination had lower survival than patients with disseminated infection and nonadvanced infection (Supplementary Figure 7). Patient survival stratified by advanced infection categorization is shown in Supplementary Figure 8.

Kaplan-Meier curves comparing 1-year survival among all 374 patients with nocardiosis based on (A) cavitary pulmonary infection, (B) pleural infection, (C) disseminated infection, and (D) advanced infection. P values are calculated via the log-rank test. Shading indicates 95% CI.
Figure 2.

Kaplan-Meier curves comparing 1-year survival among all 374 patients with nocardiosis based on (A) cavitary pulmonary infection, (B) pleural infection, (C) disseminated infection, and (D) advanced infection. P values are calculated via the log-rank test. Shading indicates 95% CI.

In unadjusted analysis, disseminated infection, cavitary pulmonary infection, pleural infection, advanced infection, higher CCI, immunocompromised status, and initial combination therapy were associated with 1-year mortality while age was not (Table 4). In adjusted analysis, disseminated infection was not associated with 1-year mortality (hazard ratio [HR] 1.16; 95% CI, .62–2.16; P = .650). Those with cavitary pulmonary infection had a higher, though nonsignificant, risk of 1-year mortality (HR, 1.65; 95% CI, .89–3.05; P = .111), and pleural involvement was associated with increased risk of mortality (HR, 4.60; 95% CI, 2.14–9.89; P < .001). Advanced infection (a composite of dissemination, lung cavitation, and pleural infection) was significantly associated with 1-year mortality (HR, 2.48; 95% CI, 1.37–4.49; P = .003) after adjusting for the same factors. In this analysis, a higher CCI and infection with N. farcinica were associated with 1-year mortality while immunocompromised status, combination therapy, and age were not significant. The effect measures were similar among the subgroups with pulmonary infection, though the HR of pleural involvement was somewhat attenuated but still statistically significant (Supplementary Table 6). The results were similar in sensitivity analyses excluding patients who were immunocompetent with chronic pulmonary disease and an analysis excluding those without CNS imaging. To assess if its effect was primarily driven by those with pleural involvement, the adjusted analysis of advanced infection was repeated after excluding the 18 patients with pleural infection. This showed a similar, though slightly attenuated, increased risk of mortality (HR, 2.18; 95% CI, 1.15–4.17; P = .018).

Table 4.

Risk Factors for Mortality After Diagnosis of Nocardiosis

Univariable AnalysisMultivariable Analysis 1Multivariable Analysis 2
FactorHR (95% CI)P ValueHR (95% CI)P ValueHR (95% CI)P Value
Disseminated infection1.91 (1.10–3.22).0221.16 (.62–2.16).650
Pulmonary cavitation2.71 (1.52–4.81)<.0011.65 (.89–3.05).111
Pleural involvement5.34 (2.26–11.14)<.0014.60 (2.14–9.89)<.001
Advanced infection3.44 (2.05–5.78)<.0012.48 (1.37–4.48).003
CCI per 1 point1.40 (1.24–1.59)<.0011.38 (1.19–1.59)<.0011.38 (1.19–1.59)<.001
Immunocompromised status2.49 (1.38–4.48).0021.38 (.73–2.61).3291.17 (.61–2.22).642
N. farcinica1.98 (1.14–3.43)a.0152.35 (1.30–4.24)b.0052.09 (1.17–3.72)c.013
Initial combination therapy2.05 (1.16–3.60).0131.08 (.55–2.10).8320.93 (.48–1.82).834
Age per 1 y1.00 (.98–1.02).9981.00 (.98–1.02).9031.00 (.98–1.02).819
Univariable AnalysisMultivariable Analysis 1Multivariable Analysis 2
FactorHR (95% CI)P ValueHR (95% CI)P ValueHR (95% CI)P Value
Disseminated infection1.91 (1.10–3.22).0221.16 (.62–2.16).650
Pulmonary cavitation2.71 (1.52–4.81)<.0011.65 (.89–3.05).111
Pleural involvement5.34 (2.26–11.14)<.0014.60 (2.14–9.89)<.001
Advanced infection3.44 (2.05–5.78)<.0012.48 (1.37–4.48).003
CCI per 1 point1.40 (1.24–1.59)<.0011.38 (1.19–1.59)<.0011.38 (1.19–1.59)<.001
Immunocompromised status2.49 (1.38–4.48).0021.38 (.73–2.61).3291.17 (.61–2.22).642
N. farcinica1.98 (1.14–3.43)a.0152.35 (1.30–4.24)b.0052.09 (1.17–3.72)c.013
Initial combination therapy2.05 (1.16–3.60).0131.08 (.55–2.10).8320.93 (.48–1.82).834
Age per 1 y1.00 (.98–1.02).9981.00 (.98–1.02).9031.00 (.98–1.02).819

Bold values indicate P < .05.

Abbreviations: CCI, Charlson comorbidity index; HR, hazard ratio.

a

After exclusion of patients with unidentified Nocardia species: HR, 1.91; 95% CI, 1.10–3.31; P = .021.

b

After exclusion of patients with unidentified Nocardia species: HR, 2.30; 95% CI, 1.28–4.13; P = .005.

c

After exclusion of patients with unidentified Nocardia species: HR, 2.04; 95% CI, 1.14–3.62; P = .016.

Table 4.

Risk Factors for Mortality After Diagnosis of Nocardiosis

Univariable AnalysisMultivariable Analysis 1Multivariable Analysis 2
FactorHR (95% CI)P ValueHR (95% CI)P ValueHR (95% CI)P Value
Disseminated infection1.91 (1.10–3.22).0221.16 (.62–2.16).650
Pulmonary cavitation2.71 (1.52–4.81)<.0011.65 (.89–3.05).111
Pleural involvement5.34 (2.26–11.14)<.0014.60 (2.14–9.89)<.001
Advanced infection3.44 (2.05–5.78)<.0012.48 (1.37–4.48).003
CCI per 1 point1.40 (1.24–1.59)<.0011.38 (1.19–1.59)<.0011.38 (1.19–1.59)<.001
Immunocompromised status2.49 (1.38–4.48).0021.38 (.73–2.61).3291.17 (.61–2.22).642
N. farcinica1.98 (1.14–3.43)a.0152.35 (1.30–4.24)b.0052.09 (1.17–3.72)c.013
Initial combination therapy2.05 (1.16–3.60).0131.08 (.55–2.10).8320.93 (.48–1.82).834
Age per 1 y1.00 (.98–1.02).9981.00 (.98–1.02).9031.00 (.98–1.02).819
Univariable AnalysisMultivariable Analysis 1Multivariable Analysis 2
FactorHR (95% CI)P ValueHR (95% CI)P ValueHR (95% CI)P Value
Disseminated infection1.91 (1.10–3.22).0221.16 (.62–2.16).650
Pulmonary cavitation2.71 (1.52–4.81)<.0011.65 (.89–3.05).111
Pleural involvement5.34 (2.26–11.14)<.0014.60 (2.14–9.89)<.001
Advanced infection3.44 (2.05–5.78)<.0012.48 (1.37–4.48).003
CCI per 1 point1.40 (1.24–1.59)<.0011.38 (1.19–1.59)<.0011.38 (1.19–1.59)<.001
Immunocompromised status2.49 (1.38–4.48).0021.38 (.73–2.61).3291.17 (.61–2.22).642
N. farcinica1.98 (1.14–3.43)a.0152.35 (1.30–4.24)b.0052.09 (1.17–3.72)c.013
Initial combination therapy2.05 (1.16–3.60).0131.08 (.55–2.10).8320.93 (.48–1.82).834
Age per 1 y1.00 (.98–1.02).9981.00 (.98–1.02).9031.00 (.98–1.02).819

Bold values indicate P < .05.

Abbreviations: CCI, Charlson comorbidity index; HR, hazard ratio.

a

After exclusion of patients with unidentified Nocardia species: HR, 1.91; 95% CI, 1.10–3.31; P = .021.

b

After exclusion of patients with unidentified Nocardia species: HR, 2.30; 95% CI, 1.28–4.13; P = .005.

c

After exclusion of patients with unidentified Nocardia species: HR, 2.04; 95% CI, 1.14–3.62; P = .016.

DISCUSSION

We performed a retrospective cohort study analyzing risk factors for mortality following Nocardia infection. While disseminated infection was associated with mortality in univariable analysis, this factor was not significant after adjusting for potential confounders. Furthermore, advanced infection—defined as dissemination, pleural involvement, or cavitary pulmonary infection—was associated with higher mortality after incorporating the same adjusters. Additionally, a higher burden of comorbidities and infection with N farcinica were associated with poor outcomes.

The discordance between outcomes from disseminated and advanced infection may be explained by heterogeneity in infection severity among patients with localized infection. Patients with disseminated infection have a rate of crude mortality as high as 36.8% [5, 9], while those with primary cutaneous or other uncommon localized sites rarely experience poor outcomes, with 1-year mortality as low as 2.2% [1, 21, 22]. However, pulmonary nocardiosis accounts for most localized infections, and infection severity likely varies significantly among patients, resulting in varied outcomes in reported literature. Mortality rates of pulmonary nocardiosis have varied among studies, typically about 16% to 25%, but studies with the highest proportions of cavitary infection often have higher overall crude mortality [23–25]. This variability also seems to correspond with underlying immune status, where patients with immunocompromise and pulmonary nocardiosis are more likely to present with cavitary infection [26]. Yet, after controlling for immunocompromised status, our analysis found that incorporating high-risk presenting characteristics—namely, cavitary pulmonary infection or pleural involvement—with disseminated infection improved prognostic capacity for mortality.

There is precedence for similar criteria in other localized pulmonary infections, such as pulmonary mycobacterial infection, where cavitation is incorporated as a marker of severe or advanced disease [27, 28]. In these infectious syndromes, cavitation has been associated with higher microbiologic burden [29, 30], disease progression [30–32], treatment failure [33], and mortality [31, 32, 34]. Similarly, pleural infections are associated with high mortality overall [35], which has been demonstrated in nocardiosis specifically [10].

The improved prognostication from advanced infection is not meant to discount the utility of disseminated infection as a clinical term. It remains important to evaluate for distant sites of infection from those that are clinically apparent. Discovery of specific sites, such as CNS infection, may require changes in therapy for adequate tissue penetration, as well as procedural interventions [36, 37]. However, dissemination alone may not fully convey an individual patient's risk for poor outcomes.

Another observation worth noting is the relative rarity of patients with chronic pulmonary disease to develop either disseminated or advanced infection. Among those with bronchiectasis, only 1.2% and 4.8% developed disseminated and advanced infection, respectively. T lymphocytes have been shown to be vital in the immune response to nocardiosis [38], and quantitative or qualitative cellular immune deficits may account for the differences in presentation between those who are immunocompromised and immunocompetent with chronic lung disease whose primary predisposing factor is localized structural abnormalities. Nocardiosis in the population with chronic lung disease may more closely resemble infection with nontuberculous mycobacteria, another infection that is common among this group but associated with relatively low mortality overall [31, 32].

These data also highlight the high-risk nature of N farcinica as an invasive Nocardia species. Past data have shown N farcinica to be associated with disseminated infection [9], though ours is the first study to associate this species with mortality. Interestingly, higher risk of mortality persisted despite adjusting for either disseminated or advanced infection, suggesting that N farcinica may have intrinsic characteristics that predispose to more aggressive infection and worse outcomes [39].

A higher burden of comorbidities, as measured by the CCI, is associated with mortality after nocardiosis. This is consistent with prior analyses, where comorbidities or lack of malignancy remission was associated with mortality [5, 40]. However, though significant in unadjusted analysis, we did not find immunocompromised status to be associated with mortality in our multivariable analysis. It is more likely that patients who are immunocompromised are at higher risk for more invasive or advanced infection [9, 26], though outcomes after development of nocardiosis are more reliant on infection severity than underlying immune status.

These findings have several possible implications for Nocardia therapy. Nocardiosis guidelines and expert opinions often cite longer durations of therapy or use of combination therapy for patients who are immunocompromised [7]; however, our data suggest that infection severity affects outcomes rather than immune status. This is in line with emerging data suggesting that courses <120 days may be adequate for populations that are immunocompromised, such as recipients of solid organ transplantation [11, 41]. Specific sites or severity of infection may better direct therapeutic decision making, including the need for combination antimicrobial therapy and optimal duration of therapy. Future studies should account for advanced infection when analyzing patients with nocardiosis and antimicrobial therapy.

This analysis has several limitations worth noting. First, it was conducted retrospectively and is subject to potential sources of bias and confounding that are difficult to fully eradicate. Second, the definition of advanced infection was based on objective data that are readily accessible retrospectively. Some markers of more severe infection were unable to be reliably assessed, and the criteria for advanced infection may need to be validated and revised in future studies. Third, there were some missing data, such as species identification and laboratory values (eg, lymphocyte counts), which have been associated with disseminated infection [9]. While we performed sensitivity analyses to account for missing Nocardia species, we were unable to incorporate some other factors. Fourth, not all patients had CNS imaging, resulting in some cases possibly being misclassified as nondisseminated or nonadvanced based on the clinical data available. Fifth, patients likely received different management strategies, such as initial combination therapy, based on perceived risk, and this may have influenced outcomes. Finally, some patients likely died from causes independent from nocardiosis, though all-cause mortality was analyzed to avoid the subjectivity of assigning an attributable cause of death. Additionally, downstream effects of severe infection or antimicrobial toxicity, such as renal dysfunction, may have contributed to mortality that was not directly infection related.

In conclusion, this study found that disseminated infection alone does not independently predict mortality after nocardiosis. Instead, a novel definition for advanced infection may perform better in predicting outcomes from Nocardia. Additional risk factors for mortality were found, including a higher burden of comorbidities and infection with N farcinica, while immunocompromised status and up-front combination antibiotic therapy were not significant in adjusted analysis. Future studies of nocardiosis should account for the specific sites and severity of infection rather than simply the presence of dissemination.

Supplementary Data

Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Notes

Financial support. This project was supported by grant UL1 TR002377 from the National Center for Advancing Translational Sciences. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.

Patient consent statement. The study protocol was reviewed by our institutional review board and granted a waiver for informed consent (No. 22-008346).

References

1

Traxler
RM
,
Bell
ME
,
Lasker
B
,
Headd
B
,
Shieh
W-J
,
McQuiston
JR
.
Updated review on Nocardia species: 2006–2021
.
Clin Microbiol Rev
2022
;
35
:
e0002721
.

2

Wilson
JW
.
Nocardiosis: updates and clinical overview
.
Mayo Clin Proc
2012
;
87
:
403
7
.

3

Tremblay
J
,
Thibert
L
,
Alarie
I
,
Valiquette
L
,
Pépin
J
.
Nocardiosis in Quebec, Canada, 1988–2008
.
Clin Microbiol Infect
2011
;
17
:
690
6
.

4

Minero
MV
,
Marín
M
,
Cercenado
E
,
Rabadán
PM
,
Bouza
E
,
Muñoz
P
.
Nocardiosis at the turn of the century
.
Medicine (Baltimore)
2009
;
88
:
250
61
.

5

Takamatsu
A
,
Yaguchi
T
,
Tagashira
Y
,
Watanabe
A
,
Honda
H
.
Nocardiosis in Japan: a multicentric retrospective cohort study
.
Antimicrob Agents Chemother
2022
;
66
:
e0189021
.

6

Presant
CA
,
Wiernik
PH
,
Serpick
AA
.
Factors affecting survival in nocardiosis
.
Am Rev Respir Dis
1973
;
108
:
1444
8
.

7

Restrepo
A
,
Clark
NM
.
Nocardia infections in solid organ transplantation: guidelines from the Infectious Diseases Community of Practice of the American Society of Transplantation
.
Clin Transplant
2019
;
33
:
e13509
.

8

Harpaz
R
,
Dahl
RM
,
Dooling
KL
.
Prevalence of immunosuppression among US adults, 2013
.
JAMA
2016
;
316
:
2547
.

9

Soueges
S
,
Bouiller
K
,
Botelho-Nevers
E
, et al.
Prognosis and factors associated with disseminated nocardiosis: a ten-year multicenter study
.
J Infect
2022
;
85
:
130
6
.

10

Yetmar
ZA
,
Challener
DW
,
Seville
MT
,
Bosch
W
,
Beam
E
.
Outcomes of nocardiosis and treatment of disseminated infection in solid organ transplant recipients
.
Transplantation
2023
;
107
:
782
91
.

11

Lebeaux
D
,
Freund
R
,
Van Delden
C
, et al.
Outcome and treatment of nocardiosis after solid organ transplantation: new insights from a European study
.
Clin Infect Dis
2017
;
64
:
1396
405
.

12

Yetmar
ZA
,
Thoendel
MJ
,
Bosch
W
,
Seville
MT
,
Hogan
WJ
,
Beam
E
.
Risk factors and outcomes of nocardiosis in hematopoietic stem cell transplant recipients
.
Transplant Cell Ther
2022
;
29
:
206.e1
7
.

13

Yetmar
ZA
,
Wilson
JW
,
Beam
E
.
Recurrent nocardiosis in solid organ transplant recipients: an evaluation of secondary prophylaxis
.
Transpl Infect Dis
2021
;
23
:
e13753
.

14

Hall
L
,
Doerr
KA
,
Wohlfiel
SL
,
Roberts
GD
.
Evaluation of the MicroSeq system for identification of mycobacteria by 16S ribosomal DNA sequencing and its integration into a routine clinical mycobacteriology laboratory
.
J Clin Microbiol
2003
;
41
:
1447
53
.

15

Buckwalter
SP
,
Olson
SL
,
Connelly
BJ
, et al.
Evaluation of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of Mycobacterium species, Nocardia species, and other aerobic Actinomycetes
.
J Clin Microbiol
2016
;
54
:
376
84
.

16

Blosser
SJ
,
Drake
SK
,
Andrasko
JL
, et al.
Multicenter matrix-assisted laser desorption ionization–time of flight mass spectrometry study for identification of clinically relevant Nocardia spp
.
J Clin Microbiol
2016
;
54
:
1251
8
.

17

Clinical and Laboratory Standards Institute
.
Susceptibility testing of mycobacteria, Nocardia spp, and other aerobic actinomycetes. 3rd ed
.
Wayne
: Clinical and Laboratory Standards Institute,
2018
. CLSI guideline M24

18

Clinical and Laboratory Standards Institute
.
Performance standards for susceptibility testing of mycobacteria, Nocardia spp, and other aerobic actinomycetes.
Wayne
: Clinical and Laboratory Standards Institute,
2018
. CLSI guideline M62

19

Cloud
JL
,
Conville
PS
,
Croft
A
,
Harmsen
D
,
Witebsky
FG
,
Carroll
KC
.
Evaluation of partial 16S ribosomal DNA sequencing for identification of Nocardia species by using the MicroSeq 500 system with an expanded database
.
J Clin Microbiol
2004
;
42
:
578
84
.

20

Yeoh
K
,
Globan
M
,
Naimo
P
,
Williamson
DA
,
Lea
K
,
Bond
K
.
Identification and antimicrobial susceptibility of referred Nocardia isolates in Victoria, Australia 2009–2019
.
J Med Microbiol
2022
;
71
:
001581
.

21

Liu
WL
,
Lai
CC
,
Ko
WC
, et al.
Clinical and microbiological characteristics of infections caused by various Nocardia species in Taiwan: a multicenter study from 1998 to 2010
.
Eur J Clin Microbiol Infect Dis
2011
;
30
:
1341
7
.

22

Yang
C-H
,
Kuo
S-F
,
Chen
F-J
,
Lee
C-H
.
Clinical manifestations and outcome of nocardiosis and antimicrobial susceptibility of Nocardia species in southern Taiwan, 2011–2021
.
J Microbiol Immunol Infect
2022
;
56
:
382
91
.

23

Martinez Tomas
R
,
Menendez Villanueva
R
,
Reyes Calzada
S
, et al.
Pulmonary nocardiosis: risk factors and outcomes
.
Respirology
2007
;
12
:
394
400
.

24

Chen
J
,
Zhou
H
,
Xu
P
,
Zhang
P
,
Ma
S
,
Zhou
J
.
Clinical and radiographic characteristics of pulmonary nocardiosis: clues to earlier diagnosis
.
PLoS One
2014
;
9
:
e90724
.

25

Takiguchi
Y
,
Ishizaki
S
,
Kobayashi
T
, et al.
Pulmonary nocardiosis: a clinical analysis of 30 cases
.
Intern Med
2017
;
56
:
1485
90
.

26

Steinbrink
J
,
Leavens
J
,
Kauffman
CA
,
Miceli
MH
.
Manifestations and outcomes of Nocardia infections: comparison of immunocompromised and nonimmunocompromised adult patients
.
Medicine (Baltimore)
2018
;
97
:
e12436
.

27

Daley
CL
,
Iaccarino
JM
,
Lange
C
, et al.
Treatment of nontuberculous mycobacterial pulmonary disease: an official ATS/ERS/ESCMID/IDSA clinical practice guideline
.
Clin Infect Dis
2020
;
71
:
e1
36
.

28

Nahid
P
,
Dorman
SE
,
Alipanah
N
, et al.
Official American Thoracic Society/Centers for Disease Control and Prevention/Infectious Diseases Society of America clinical practice guidelines: treatment of drug-susceptible Tuberculosis
.
Clin Infect Dis
2016
;
63
:
e147
95
.

29

Ors
F
,
Deniz
O
,
Bozlar
U
, et al.
High-resolution CT findings in patients with pulmonary tuberculosis
.
J Thorac Imaging
2007
;
22
:
154
9
.

30

Lee
G
,
Lee
KS
,
Moon
JW
, et al.
Nodular bronchiectatic Mycobacterium avium complex pulmonary disease: natural course on serial computed tomographic scans
.
Ann Am Thorac Soc
2013
;
10
:
299
306
.

31

Gochi
M
,
Takayanagi
N
,
Kanauchi
T
,
Ishiguro
T
,
Yanagisawa
T
,
Sugita
Y
.
Retrospective study of the predictors of mortality and radiographic deterioration in 782 patients with nodular/bronchiectatic Mycobacterium avium complex lung disease
.
BMJ Open
2015
;
5
:
e008058
.

32

Hwang
JA
,
Kim
S
,
Jo
K-W
,
Shim
TS
.
Natural history of Mycobacterium avium complex lung disease in untreated patients with stable course
.
Eur Respir J
2017
;
49
:
1600537
.

33

Benator
D
,
Bhattacharya
M
,
Bozeman
L
, et al.
Rifapentine and isoniazid once a week versus rifampicin and isoniazid twice a week for treatment of drug-susceptible pulmonary tuberculosis in HIV-negative patients: a randomised clinical trial
.
Lancet
2002
;
360
:
528
34
.

34

Zoumot
Z
,
Boutou
AK
,
Gill
SS
, et al.
Mycobacterium avium complex infection in non-cystic fibrosis bronchiectasis
.
Respirology
2014
;
19
:
714
22
.

35

Asai
N
,
Suematsu
H
,
Hagihara
M
, et al.
The etiology and bacteriology of healthcare-associated empyema are quite different from those of community-acquired empyema
.
J Infect Chemother
2017
;
23
:
661
7
.

36

Margalit
I
,
Lebeaux
D
,
Tishler
O
, et al.
How do I manage nocardiosis?
Clin Microbiol Infect
2021
;
27
:
550
8
.

37

Lafont
E
,
Conan
P-L
,
Rodriguez-Nava
V
,
Lebeaux
D
.
Invasive nocardiosis: disease presentation, diagnosis and treatment—old questions, new answers?
Infect Drug Resist
2020
;
13
:
4601
13
.

38

King
DP
,
Hyde
DM
,
Jackson
KA
, et al.
Cutting edge: protective response to pulmonary injury requires gamma delta T lymphocytes
.
J Immunol
1999
;
162
:
5033
6
.

39

Mikami
K
,
Sonobe
K
,
Ishino
K
, et al.
Evaluation of pathogenicity and therapeutic effectiveness of antibiotics using silkworm Nocardia infection model
.
Drug Discov Ther
2021
;
15
:
73
7
.

40

Averbuch
D
,
De Greef
J
,
Duréault
A
, et al.
Nocardia infections in hematopoietic cell transplant recipients: a multicenter international retrospective study of the Infectious Diseases Working Party of the European Society for Blood and Marrow Transplantation
.
Clin Infect Dis
2022
;
75
:
88
97
.

41

Tripodi
MF
,
Durante-Mangoni
E
,
Fortunato
R
, et al.
In vitro activity of multiple antibiotic combinations against Nocardia: relationship with a short-term treatment strategy in heart transplant recipients with pulmonary nocardiosis
.
Transpl Infect Dis
2011
;
13
:
335
43
.

Author notes

Potential conflicts of interest. All authors: No reported conflicts.

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