Abstract
Background: Invasive pulmonary aspergillosis (IPA) is a life-threatening complication in coronavirus disease 2019 (COVID-19) patients admitted to intensive care units (ICUs), but risk factors for COVID-19-associated IPA (CAPA) have not been fully characterized. The aim of the current study was to identify factors associated with CAPA, and assess long-term mortality.
Methods: A retrospective cohort study of adult COVID-19 patients admitted to ICUs from six hospitals was conducted in Hubei, China. CAPA was diagnosed via composite clinical criteria. Demographic information, clinical variables, and 180-day outcomes after the diagnosis of CAPA were analyzed.
Results: Of 335 critically ill patients with COVID-19, 78 (23.3%) developed CAPA within a median of 20.5 days (range 13.0–42.0 days) after symptom onset. Compared to those without CAPA, CAPA patients were more likely to have thrombocytopenia (50 vs. 19.5%, p < 0.001) and secondary bacterial infection prior to being diagnosed with CAPA (15.4 vs. 6.2%, p = 0.013), and to receive vasopressors (37.2 vs. 8.6%, p < 0.001), higher steroid dosages (53.9 vs. 34.2%, p = 0.002), renal replacement therapy (37.2 vs. 13.6%, p < 0.001), and invasive mechanical ventilation (57.7 vs. 35.8%, p < 0.001). In multivariate analysis incorporating hazard ratios (HRs) and confidence intervals (CIs), thrombocytopenia (HR 1.98, 95% CI 1.16–3.37, p = 0.012), vasopressor use (HR 3.57, 95% CI 1.80–7.06, p < 0.001), and methylprednisolone use at a daily dose ≥ 40 mg (HR 1.69, 95% CI 1.02–2.79, p = 1.02–2.79) before CAPA diagnosis were independently associated with CAPA. Patients with CAPA had longer median ICU stays (17 days vs. 12 days, p = 0.007), and higher 180-day mortality (65.4 vs. 33.5%, p < 0.001) than those without CAPA.
Conclusions: Thrombocytopenia, vasopressor use, and corticosteroid treatment were significantly associated with increased risk of incident IPA in COVID-19 patients admitted to ICUs. The occurrence of CAPA may increase the likelihood of long-term COVID-19 mortality.
Keywords: COVID-19, CAPA, methylprednisolone, mortality, thrombocytopenia
Introduction
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and has now been responsible for millions of hospitalizations (1, 2). Most patients recover from COVID-19 but some—mainly critically ill patients—are vulnerable to dangerous secondary infection by opportunistic pathogens (3–5). Among the relevant microbes, Aspergillus spp. is considered very serious and is potentially deadly, particularly if it induces invasive pulmonary aspergillosis (IPA) (3, 6, 7).
COVID-19-associated IPA (CAPA) is a life-threatening complication in intensive care unit (ICU) patients, and the reported incidence of CAPA varies from 4 to 35% (4, 5, 8–13). The variation in estimates may be partly due to different diagnostic approaches and definitions (3, 4, 6). Regardless of the definition used, IPA is reportedly associated with both viral and host factors (3–6). For example, SARS-CoV-2 can induce severe lung or immune damage that impairs the host's ability to clear the Aspergillus spp. Some critical patients have been immunocompromised due to diabetes and chronic kidney disease (14), which are associated with an increased risk of developing IPA (4, 14). Some drugs used to treat COVID-19 including steroids may also render patients more vulnerable to Aspergillus spp. infection (15). Notably however, few studies have focused on these host and infection variables in an effort to facilitate early stratification of COVID-19 patients at high risk of developing CAPA.
The current study was conducted to determine the incidence of CAPA in COVID-19 patients admitted to ICUs, and investigate risk factors associated with CAPA occurrence and long-term outcomes.
Methods
Study Design and Participants
This retrospective study was conducted at six ICUs of Union Hospital, Union Hospital West Campus, Jinyintan Hospital, Wuhan Pulmonary Hospital, Xiangyang Central Hospital, and Taihe Hospital in China. Patients aged ≥ 18 years were screened if they had a confirmed diagnosis of SARS-CoV-2 infection between 29 December 2019 and 01 April 2020. The ICU admission criteria and treatment decisions for all patients were as previously described (16, 17). Patients were tested for invasive fungal infections if they were suspected of having IPA or there was evidence of clinical disease progression while they were in the ICU (12). All patients with one or more mycological tests of serum or bronchoalveolar lavage (BAL), bronchial aspiration (BA), galactomannan culture, or Aspergillus spp. PCR were analyzed as potential cases.
CAPA was diagnosed if Aspergillus spp. was cultured from the patient's BAL, or if their serum galactomannan index was ≥0.5, or if two of the following three conditions were met in accordance with recent CAPA studies (6, 11, 12): Positive Aspergillus spp. culture of BA, BAL galactomannan index ≥ 1.0, and positive BAL Aspergillus fumigatus qPCR. In patients without CAPA during hospitalization, the day of IPA diagnosis was identified as the day on which the first diagnostic microbiological test after ICU admission was performed. In all six hospitals galactomannan index testing was performed using the Bio-Rad enzyme linked immunosorbent assay (ELISA) test. Cases in which the only positive mycological evidence for IPA was a culture from sputum or tracheal aspirate from the lower respiratory tract were deemed to represent colonization (18).
Patients were excluded if they had a history of IPA and exhibited pulmonary aspergillosis. Research approval was granted by the institutional review board of Wuhan Union Hospital, as the central coordinating center (approval number 2020-0041-1). The requirement for written for informed consent was waived.
Data Collection
Patient identification in the ICUs was achieved by reviewing admission logs from available medical records as previously described (2, 7, 19). Data were extracted from local servers by experienced research physicians at each center. Patients' demographic data, preexisting comorbidities, vital signs at ICU admission, laboratory values at the time of CAPA diagnosis, galactomannan antigenemia data, microbiology findings, and data pertaining to secondary bacterial infection, complications, and known IPA risk factors including immunosuppressive drugs (steroids and others) were analyzed. With respect to discharged patients, phone calls were made by 15 January 2021 to determine their living status. Mortality at 180 days after the diagnosis of CAPA was analyzed.
Definitions
Secondary pulmonary bacterial infection was diagnosed if a patient returned a positive culture of a new pathogen from a lower respiratory tract pathology specimen (bacterial pneumonia) acquired ≥48 h after ICU admission (2). Neutropenia was defined as an absolute neutrophil count of <0.5 × 109/L within the 3 days before the diagnosis of IPA. European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group and the National Institute of Allergy and Infectious Diseases Mycoses Study Group (EORTC/MSG)-host factors were identified as previously described (18). Thrombocytopenia is defined as platelets less than 125 × 109/L (2, 19).
Statistical Analysis
Due to the exploratory nature of the study as many eligible cases as possible were included. Values were expressed as means ± the standard deviation, medians and interquartile ranges (IQRs), or medians and ranges for continuous variables, and as numbers and percentages for categorical variables. Differences between patients with and without CAPA were investigated using the two-sample t-test for parametric variables, the Wilcoxon rank-sum test for non-parametric variables, and Fisher's exact test for categorical variables. To explore independent risk factors for the development of CAPA, age, lymphocyte and platelet counts, treatments, comorbidities, and dichotomous complications associated with a p-value of < 0.1 in univariate analyses were included in Cox proportional hazards regression analysis. Age was dichotomized at 60 years, lymphocyte counts at the median value, and platelet counts at 125 × 109/L. Survival probabilities 180 days after the diagnosis of CAPA were analyzed via Kaplan-Meier curves, and compared using log-rank tests. Tests were two-sided, and p < 0.05 was deemed to indicate statistical significance. Stata/IC 15.1 software (StataCorp, College Station, TX, USA) was used for all analyses.
Results
Clinical Characteristics and Test Results
A total of 393 COVID-19 patients admitted to ICUs at the six participating centers and screened between 31 December 2019 and 01 April 2020 were initially considered for inclusion in the final analysis. Fifty-eight patients were subsequently excluded; 49 due to unavailability of sufficient information pertaining to microbiological testing while in the ICU, 5 with a medical history of IPA, and 4 with Aspergillus spp. colonization. The final analysis set thus included 335 patients with COVID-19 (Figure 1). Their mean age was 60.1 ± 14.1 years, 191 (57%) were male, and 25 (7.5%) were EORTC/MSG host-factor positive. The mean acute physiology and chronic evaluation II score was 15 (IQR 12–19). Based on the CAPA definition applied, 78 (23.3%) cases were diagnosed a median 20.5 days after COVID-19 symptom onset (IQR 13.0–42.0 days). BAL culture tests were performed in 62/78 (79.5%) patients with CAPA, 35 (44.9%) of which were positive for Aspergillus spp. Serum galactomannan tests were performed in 66/78 (84.6%) CAPA patients, and were positive as determined via an optical density ≥ 0.5 in 49 patients (62.8%) (Table 1).
Figure 1.
Flowchart of the study including patients with CAPA. CAPA, coronavirus disease 2019-associated invasive pulmonary aspergillosis; COVID-19, coronavirus disease 2019.
Table 1.
Invasive pulmonary aspergillosis characteristics of COVID-19 patients admitted to ICU.
| CAPA n = 78(%) | |
|---|---|
| ICU admission to first cultures or GM tests, days¶ | 0 [0-1] |
| Mycological tests | |
| Day of first indication after ICU admission | 1 [0-3] |
| Day of first determination after ICU admission | 1 [0-9] |
| Cultures | 62 (79.5) |
| BAL culture positive | 36 (46.2) |
| Aspergillus fumigatus | 21 (28.8) |
| Aspergillus flavus | 15 (20.6) |
| Aspergillus niger | 1 (1.4) |
| Serum GM tests | 66 (84.6) |
| Positive serum GM (index > 0.5) | 49 (62.8) |
| Serum GM value, index, median (IQR)# | 0.41 [0.12-1.01] |
| BAL GM | 12 (15.4) |
| Positive BAL GM (index > 1.0) | 9 (75.0) |
| BAL GM value, index, median (IQR)* | 2.30 [1.25-5.32] |
| Aspergillus PCR test | 15 (19.2) |
| Positive Aspergillus PCR | 3 (20) |
| Time from illness onset to CAPA diagnosis | 20.5 [13.0-42.0] |
BAL, bronchoalveolar lavage; COVID-19, coronavirus disease 2019; CAPA, coronavirus-associated invasive pulmonary aspergillosis; GM, galactomannan; ICU, intensive care unit; PCR, polymerase chain reaction; IQR, interquartile range.
Days of first cultures or GM tests after ICU admission, the tests were available in 78 patients.
Serum GM tests were conducted in 66 patients.
BAL GM value was from the 9 patients with GM index > 1.0.
Data were expressed as count (%) unless otherwise.
Differences in characteristics, risk factors, and outcome parameters between patients with and without CAPA are shown in Table 2. A greater proportion of CAPA patients were aged > 60 years (71.8 vs. 52.5%, p = 0.002). There were no significant differences in underlying diseases between patients with and without CAPA, with the exception of hypertension (p = 0.046). Compared with patients without CAPA, more patients with CAPA had lymphocyte counts < 0.8 × 109/L (76.9 vs. 56.8%, p = 0.047) and platelet counts < 125 × 109/L (50 vs. 19.5%, p < 0.001). Patients with CAPA were more likely to have secondary bacterial infections (15.4 vs. 6.2%, p = 0.013).
Table 2.
Demographic characteristics, underlying diseases, and clinical characteristics of COVID-19 patients with or without CAPA.
| Total N = 335 (%) | With CAPA N = 78 (%) |
Without CAPA N = 257 (%) |
P -value | |
|---|---|---|---|---|
| Demographics | ||||
| Age, years, mean (±SD) | 60.1 ± 14.1 | 64.3 ± 13.6 | 58.8 ± 14.0 | 0.0024 |
| Age ≥ 60 years | 191 (57.0) | 56 (71.8) | 135 (52.5) | 0.002 |
| Male | 198 (59.1) | 49 (62.8) | 149 (57.9) | 0.265 |
| APACHE II admission* | 15 [12-19] | 16 [15-21.5] | 15 [12-19] | 0.0076 |
| SOFA admission* | 5 [4-7] | 5 [4-8] | 5 [4-6] | 0.0325 |
| Underlying diseases | ||||
| Any | 197 (58.1) | 56 (71.8) | 141 (54.9) | 0.005 |
| Hypertension | 129 (38.5) | 38(48.7) | 91 (35.4) | 0.046 |
| Diabetes mellitus | 63 (18.1) | 16(20.5) | 47 (18.3) | 0.385 |
| Coronary disease | 28 (8.4) | 8 (10.3) | 20 (7.8) | 0.314 |
| Chronic cardiac disease | 37 (11.0) | 13 (16.7) | 24 (9.3) | 0.058 |
| Autoimmune disease | 3 (0.9) | 2 (3.3) | 1 (0.4) | 0.137 |
| Cerebrovascular disease | 37 (11.0) | 10 (12.8) | 27 (10.5) | 0.542 |
| Chronic liver disease | 22 (6.6) | 5 (6.4) | 17 (6.6) | 0.593 |
| Liver cirrhosis | 3 (0.9) | 1 (1.3) | 2 (0.8) | 0.550 |
| Chronic kidney disease | 18 (5.4) | 3 (3.9) | 15 (5.8) | 0.362 |
| Chronic pulmonary disease | 14 (4.2) | 5 (6.4) | 9 (3.5) | 0.206 |
| Symptoms at hospital admission | ||||
| Fever | 276 (82.3) | 65 (83.3) | 211 (82.1) | 0.476 |
| >38°C | 21 (6.3) | 5 (6.4) | 16 (6.2) | 0.566 |
| Cough | 237 (70.8) | 60 (76.9) | 177 (68.9) | 0.109 |
| Dyspnoea | 122 (36.4) | 35 (44.9) | 87 (33.9) | 0.052 |
| Known risk factors | ||||
| EORTC/MSG host factor | 25 (7.5) | 9 (11.5) | 16 (6.2) | 0.097 |
| Malignancy | 16 (4.8) | 3 (3.9) | 13 (5.1) | 0.466 |
| Human immunodeficiency virus | 4 (0.9) | 2 (2.6) | 4 (0.8) | 0.137 |
| Immunodeficiency | 42 (12.5) | 9 (11.5) | 33 (12.8) | 0.467 |
| Neutropenia (<0.5 × 109/L) | 1 (0.3) | 1 (1.3) | 0 (0) | 0.233 |
| COPD | 14 (4.2) | 4 (5.1) | 10 (3.9) | 0.418 |
| Chronic intermittent hemodialysis | 9 (2.7) | 2 (2.6) | 7 (2.7) | 0.649 |
| Studied risk factors | ||||
| Methylprednisolone 7 days before ICU | 46 (13.7) | 11 (14.1) | 35 (13.6) | 0.522 |
| CS 7 days before fungal | 63 (18.8) | 19 (24.4) | 44 (17.1) | 0.104 |
| Corticosteroid duration, d | 7 [4-13] | 7 [4-14] | 7 [4-12] | 0.4397 |
| >5 | 74 (66.7) | 27 (69.2) | 47 (65.2) | 0.419 |
| Laboratory tests at admission | ||||
| Leukocyte count, cells/μl | 7.6 [5.1-11.9] | 8.2 [5.2-12.7] | 7.2 [5.1-11.4] | 0.2013 |
| Leukocyte count < 4.0 × 109/L | 33 (9.9) | 6 (7.7) | 27 (10.5) | 0.313 |
| Neutrophils, 109/L | 6.3 [3.7-10.6] | 7.1 [4.2-11.2] | 5.9 [3.5-9.9] | 0.1150 |
| Neutrophils < 1.5 × 109/L | 18 (5.4) | 5 (6.4) | 13 (5.1) | 0.412 |
| Lymphocytes, 109/L† | 0.8 [0.5-1.1] | 0.7 [0.5-1.1] | 0.8 [0.5-1.1] | 0.2279 |
| Lymphocytes < 0.8 × 109/L | 206 (61.5) | 60 (76.9) | 146 (56.8) | 0.001 |
| Platelets, 109/L‡ | 186 [144-254] | 165 [116-219] | 193 [150-261] | 0.0013 |
| Platelets < 150 × 109/L | 89 (26.6) | 39 (50.0) | 50 (19.5) | <0.001 |
| Creatinine, mg/dl | 71.2 [57.5-87.3] | 71.5 [54.4-103.0] | 71.2 [58.4-85.7] | 0.5072 |
| C-reactive protein, mg/dl | 42 [13.8-116.0] | 79.3 [19.7-152.8] | 34.0 [9.3-97.9] | 0.0185 |
| C-reactive protein> 250 μ/L | 170 (50.8) | 50 (64.1) | 120 (46.7) | 0.005 |
| LDH, IU/L | 354 [263-487] | 398 [294-574.5] | 325 [251-464] | 0.0063 |
| LDH > 250 μ/L | 257 (76.7) | 64 (82.1) | 193 (75.1) | 0.130 |
| IL-6, pg/ml | 8.9 [6.7-13.4] | 10.2 [6.8-16.1] | 8.7 [6.6-12.5] | 0.0787 |
| Elevated IL-6 level¶ | 251 (74.9) | 60 (76.9) | 191 (74.3) | 0.381 |
| Secondary bacterial infection at time of diagnosis | ||||
| Sputum or BAL fluid | 28 (8.4) | 12 (15.4) | 16 (6.2) | 0.013 |
| Gram-negative bacteria, n (%) | ||||
| Respiratory nonfermenting bacteriac | 28 (8.4) | 12 (15.4) | 16 (6.2) | 0.013 |
| Pseudomonas spp. | 2 (7.4) | 1 (1.3) | 1 (0.4) | 0.412 |
| Gram-positive bacteria, n (%) | 0 (0) | 0 (0) | 0 (0) | |
| Blood | 17 (5.1) | 6 (7.7) | 11 (4.3) | 0.179 |
| Hydrothoraxa | 4 (1.2) | 2 (2.6) | 2 (0.8) | 0.232 |
| Fungus culture results⁋ | ||||
| Candida sp., n (%) | 75 (22.4) | 15 (19.2) | 60 (23.4) | 0.275 |
| Mucormucedo sp., n (%) | 1 (0.3) | 1 (1.3) | 0 (0.0) | 0.233 |
| Treatment before CAPA diagnosis | ||||
| Commutative dosages, median [IQR], mg | 440 [230–680] | 480 [240–740] | 430 [180–660] | 0.4550 |
| Dose, methylprednisolon equivalent/days, mg | 61.1 ± 23.3 | 61.8 ± 24.6 | 60.7 ± 22.8 | 0.6595 |
| ≥20 | 130 (38.8) | 42 (53.9) | 88 (34.2) | 0.002 |
| ≥40 | 27 (8.1) | 8 (10.3) | 19 (7.4) | 0.04 |
| Duration of methylprednisolon, days | 7 [4-12] | 8 [4-14] | 7 [4-11] | 0.2094 |
| Tocilizumab | 6 (1.8) | 3 (3.9) | 3 (1.2) | 0.141 |
| Thymosin α1 | 159 (47.5) | 37 (47.4) | 122 (47.5) | 0.550 |
| Organ support at time of diagnosis | ||||
| Vasopressors use | 51 (15.2) | 29 (37.2) | 22 (8.6) | <0.001 |
| Mechanical ventilation | 142 (42.4) | 46 (59.0) | 96 (37.4) | 0.001 |
| Non-invasive | 82 (24.5) | 21(26.9) | 61 (23.7) | 0.332 |
| Non-invasive mechanical ventilation, days | 5 [2-8] | 8 [2-15] | 5 [2-7] | 0.2089 |
| Invasive | 137 (40.9) | 45 (57.7) | 92 (35.8) | <0.001 |
| Invasive mechanical ventilation, days | 10 [4-20] | 15 [8-26] | 7 [3-15] | 0.002 |
| Renal replacement therapy, n (%) | 64 (19.1) | 29 (37.2) | 35 (13.6) | <0.001 |
| Renal replacement therapy days | 5 [2-9.5] | 6 [2-9] | 3 [1-10] | 0.3097 |
| Outcome | ||||
| Alive at ICU discharge, n (%) | 221 (66.0) | 37 (47.4) | 184 (71.6) | <0.001 |
| Length of ICU stay, days | 13 [8-20] | 17 [10-29] | 12 [8-17] | 0.007 |
| Length of hospital stay, days | 15 [9-24] | 21 [15-33] | 13 [9-21] | <0.001 |
| ICU mortality | 114 (34.0) | 41 (52.6) | 73 (28.4) | <0.001 |
| 180-day mortality | 137 (40.9) | 51 (65.4) | 86 (33.5) | <0.001 |
APACHE II, Acute Physiology and Chronic Health Evaluation II; CAPA, coronavirus-associated invasive pulmonary aspergillosis; COPD, chronic obstructive pulmonary disease; COVID-19, coronavirus disease 2019; HFNC, High-flow nasal cannula; ICU, intensive care unit; IQR, interquartile range; IL 6, interleukin 6; LDH, lactate dehydrogenase; pO2, partial pressure of oxygen; FiO2, fraction of inspired oxygen; pCO2, partial pressure of carbon dioxide; SOFA, sequential organ failure assessment.
Data were expressed median [interquartile range] or as mean ± standard deviation.
Scores at ICU admission were available in 155 patients, because arterial blood gas analysis was conducted in 103 non-CAPA and 52 CAPA.
The lower limit of normal range of lymphocyte count was 1.1 × 109/L.
The lower limit of normal range of platelet count was 125 × 109/L.
The upper limit of normal range was 7 pg/ml.
The fungus was from the culture of tracheal aspirate or sputum.
Pseudomonas spp., Acinetobacter spp., Stenotrophomonas spp., Burkholderia spp., Escherichia coli.
Compared to those without CAPA, patients with CAPA were more likely to require vasopressors (37.2 vs. 8.6%, p < 0.001), mechanical ventilation support (57.7 vs. 35.8%, p < 0.001), and renal replacement therapy (37.2 vs. 13.6%, p < 0.001). There were no significant differences in mean daily methylprednisolone equivalent dose (61.8 ± 24.6 mg vs. 60.7 ± 22.8 mg, p > 0.6) or the duration of methylprednisolone (8 days vs. 7 days, p > 0.2) between the two groups. Patients with CAPA were significantly more likely to use a higher daily dose (≥40 mg) of methylprednisolone than those without CAPA (53.9 vs. 34.2%, p = 0.002) (Table 2).
Risk Factors for CAPA Development
Data pertaining to risk factors for the occurrence of CAPA derived from pooled data from all patients are shown in Table 3. Thrombocytopenia (HR 1.98, 95% CI 1.16–3.37, p = 0.012), vasopressor use (HR 3.57, 95% CI 1.80–7.06, p < 0.001), and the use of methylprednisolone at a daily dose of ≥40 mg (HR 1.69, 95% CI 1.02–2.79, p = 1.02–2.79) before CAPA diagnosis were independently associated with an increased risk of developing CAPA. Conversely, EORTC/MSG host factor, a lymphocyte count lower than the median of all patients included in the analysis, renal replacement therapy, and secondary pulmonary bacterial infection were not.
Table 3.
Risk factors for the development of CAPA in critically ill patients with COVID-19.
| Variables | HR (95% CI) | P -value |
|---|---|---|
| Age ≥ 60 | 1.16 (0.67-2.01) | 0.596 |
| Underlying disease | 1.33 (0.78-2.27) | 0.302 |
| EORTC/MSG host factor | 1.03 (0.49-2.18) | 0.486 |
| Lymphocyte count < 0.8 × 109/L† | 1.34 (0.74-2.45) | 0.337 |
| Thrombocytopenia‡ | 1.98 (1.16-3.37) | 0.012 |
| C-reactive protein | 1.40 (0.87-2.27) | 0.166 |
| Vasopressors use | 3.57 (1.80-7.06) | <0.001 |
| Corticosteroid dosage | ||
| ≥20 mg/d | 0.34 (0.04-2.56) | 0.292 |
| ≥40 mg/d | 1.69 (1.02-2.79) | 0.043 |
| Renal replacement therapy | 0.79 (0.37-1.71) | 0.552 |
| IMV | 0.65 (0.34-1.24) | 0.189 |
| Secondary bacterial infection | 1.35 (0.68-2.69) | 0.392 |
CAPA, coronavirus-associated invasive pulmonary aspergillosis; COVID-19, coronavirus disease 2019; CI, confidence interval; HR, hazard ratio; IMV, invasive mechanical ventilation.
The low limit of normal range of lymphocyte count was 1.1 × 109/L.
The low limit of normal range of platelet count was 125 × 109/L.
Clinical Outcomes
All patients returned negative CAPA test results before they were discharged. Median ICU stays were significantly longer in CAPA patients than in those without CAPA (17 days vs. 12 days, p = 0.007), as were median hospital stays (21 days vs. 13 days, p < 0.001). ICU mortality was higher in CAPA patients than in those without CAPA (52.6 vs. 28.4%, p < 0.001). At 180 days after the initial diagnosis of CAPA no patients tested positive for CAPA and were still being hospitalized, and 51 (65.4%) patients with CAPA had died. Kaplan-Meier curves depicted significantly higher 180-day mortality after aspergillosis diagnosis in CAPA patients compared with patients without CAPA (p < 0.001) (Figure 2).
Figure 2.
Survival curves of 335 critically ill patients with or without CAPA. The number of patients with CAPA was 78, and the number without CAPA was 257. CAPA, coronavirus disease 2019-associated invasive pulmonary aspergillosis; COVID-19, coronavirus disease 2019.
Discussion
Early identification of CAPA in critically ill COVID-19 patients admitted to ICUs will facilitate the optimal use of medical resources. The current multicenter retrospective study investigated risk factors associated with CAPA, and long-term outcomes in COVID-19 patients admitted to ICUs. Patients with thrombocytopenia, vasopressor use before CAPA diagnosis, and the use of methylprednisolone at a daily dose of ≥40 mg were much more likely to develop CAPA.
The reported incidences of CAPA in patients admitted to ICUs vary widely from 2.5 to 39.1%, and in the current cohort it was 23.3% (8, 9, 20, 21). Differences may be associated with different diagnostic approaches or interpretations of IPA markers (3). BAL culture and galactomannan testing of BAL are a gold standard for IPA diagnosis, but BAL and autopsy are usually lacking in patients with COVID-19 due to fear of viral particles spreading. In the present cohort BAL culture was only performed in 62 (79.5%) CAPA patients, and in 48.7% of patients the BAL cultures were Aspergillus spp.-positive. Given the limited sensitivity of BAL Aspergillus spp. culture (13, 22–24), a serum galactomannan test—which was performed in 316 (94.3%) of 335 patients including 66 (84.6%) of 78 patients with CAPA—was used to classify patients in the present study. Of the patients with CAPA in the current cohort 61.5% yielded positive serum galactomannan tests.
In a study of 630 patients with influenza in the ICU, invasive aspergillosis was detected in 17%. The slightly lower incidence in an influenza cohort could be explained by the different pathogenesis of SARS-CoV-2 infection (18). In most influenza patients respiratory epithelium damage and mucociliary clearance dysfunction may facilitate invasion by Aspergillus spp. Unlike influenza however, in addition to respiratory system damage SARS-CoV-2 sends parts of the immune system into overdrive or depletes certain immune cells, impairing the lung's capacity to clear Aspergillus spp. or leaving the patient less able to fight off other infections (3, 6).
Steroids such as dexamethasone (6 mg daily dose) have been shown to curb overactive immune responses and improve survival rates in severely ill COVID-19 patients (25), but steroids are a double-edged sword because they can render the patient susceptible to other infections, particularly Aspergillus spp. In the current cohort the use of ≥40 mg of methylprednisolone (equivalent to 7.5 mg of dexamethasone) before CAPA diagnosis was independently associated with the development of invasive pulmonary aspergillosis, consistent with corticosteroid treatment increasing the risks of hyperglycemia and infection in severe COVID-19 (15). In a recent observational study COVID-19 patients received higher than recommended steroid doses and were likely have Aspergillus spp. infections (26), therefore IPA infections in critically ill COVID-19 patients should be inversely related to the dosage of immunosuppressive therapy.
Platelets have versatile antifungal immune functions, and thrombocytopenic hosts are highly susceptible to IPA and can rapidly succumb to infection (27–29). To the best of our knowledge no study has investigated the correlation between thrombocytopenia in COVID-19 patients and IPA susceptibility. In the present study thrombocytopenia was an independent risk factor for CAPA, but the underlying mechanisms are not clear. Mechanisms of IPA-related thrombocytopenia have been suggested (27–29). One is that when infected with Aspergillus spp. the galactosaminogalactan secreted by the pathogen is deposited on the surfaces of platelets, inducing their activation and resulting in fungal damage (27, 29, 30). Another is that the altered platelet surface triggers a complement cascade reaction that attracts and activates phagocytes to eliminate the invading Aspergillus spp. (27, 28). In the current cohort platelets were extremely low in critically ill patients with COVID-19, thus their susceptibility to IPA was increased.
In the present study mortality in patients with CAPA was 65.4% at 180 days after CAPA diagnosis, and the study is the first report on the long-term outcomes of CAPA. The rate is higher than that previously reported in patients admitted to the ICU with influenza-associated IPA at 90 days (51%) (18), and in other cohorts such as aspergillosis patients with phlebovirus (~40%) (31). The different incidence may be because the pathophysiology of COVID-19 differs substantially from that of influenza and phlebovirus infections. On 04 April 2021 the European Centre for Disease Prevention and Control (CDC) stated that in 186 patients with CAPA the mortality rate was 52.2%, which was similar to the ICU mortality in the current study (52.6%). The study was somewhat cross-sectional in that it included data at 6 and 12 weeks after CAPA diagnosis. The number of patients with CAPA had decreased by the 90-day timepoint because a lot of them had died by that time. In the present cohort, a number of patients with CAPA decreased after 90 days. Mortality was also considerably high in case series from France, Germany, Belgium, and the Netherlands, ranging from 44.5–66.7% (10, 11, 13, 32). Of particular importance was the 100% fatality rate of patients with underlying diseases reported in the Netherlands (10).
The current study had several limitations. Due to its retrospective design confounding cannot be ruled out and a standardized diagnostic approach toward IPA was not used. Considerations of mycological criteria and antigen testing were included in case classifications however, and the galactomannan index was beneficial for the early identification of CAPA patients at risk of a poor outcome. Thus, we believe that the diagnosis of CAPA in the study was more accurate and clinically pertinent. Another potential limitation was that 13 patients with only positive serum galactomannan data were categorized as CAPA patients, and this was likely to have included some false-positive cases. A higher serum galactomannan index represents an increased Aspergillus spp. burden however, because severe SARS-CoV-2 infection is likely to contribute to Aspergillus spp. micro-angioinvasion at the interface of the alveoli and blood vessels. Indeed, there was no difference in mortality between the galactomannan-positive and the galactomannan-negative groups among the CAPA patients in the study. Whether serum galactomannan should be considered as a standardized diagnostic approach should be a focus of future prospective studies.
Conclusion
Thrombocytopenia, vasopressor use before CAPA diagnosis, and the use of methylprednisolone at a daily dose ≥ 40 mg are independent predictors of the development of CAPA. The occurrence of CAPA increases the long-term mortality of critically ill COVID-19 patients. The results of the current study may help physicians to optimize the management of critically ill COVID-19 patients, and improve antifungal management.
Data Availability Statement
All datasets generated for this study are included in the article/Supplementary Material. Deidentified participant data will be provided after approval from the corresponding author and study center.
Ethics Statement
Research approval (2020-0041-1) was granted by the institutional review board of Wuhan Union Hospital as the central coordinating center. Written informed consent from the participants' legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.
Author Contributions
JX, ZL, XZ, LZ, WC, and BL collected the epidemiological and clinical data. JX, XY, and TZ summarized all data. JX, XY, HL, YY, and YS contributed to literature search and writing of the manuscript. YS, CH, SY, and MH designed the study, had full access to all data in the study, and take full responsibility for accuracy of the analyses and their interpretation. All authors contributed to the article and approved the submitted version.
Funding
The research was designed, conducted, analyzed, and interpreted by the authors entirely independently of the funding sources.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We thank all patients and their families involved in the study.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2021.753659/full#supplementary-material
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All datasets generated for this study are included in the article/Supplementary Material. Deidentified participant data will be provided after approval from the corresponding author and study center.