Literature DB >> 27686235

Prognostic factors for severe Pneumocystis jiroveci pneumonia of non-HIV patients in intensive care unit: a bicentric retrospective study.

Li Weng1, Xu Huang2, Lie Chen3, Li-Qin Feng4, Wei Jiang1, Xiao-Yun Hu1, Jin-Min Peng1, Chun-Yao Wang1, Qing-Yuan Zhan2, Bin Du5.   

Abstract

BACKGROUND: Pneumocystis jiroveci pneumonia (PJP) in non-HIV patients is still a challenge for intensivists. The aim of our study was to evaluate mortality predictors of PJP patients requiring Intensive care unit (ICU) admission.
METHODS: Retrospectively review medical records of patients with diagnosis of PJP admitted to four ICUs of two academic medical centers from October 2012 to October 2015.
RESULTS: Eighty-two patients were enrolled in the study. Overall hospital mortality was 75.6 %. Compared with survivors, the non-survivors had older age (55 ± 16 vs. 45 ± 17, p = 0.014), higher APACHE II score (20 ± 5 vs. 17 ± 5, p = 0.01), lower white blood cell count (7.68 ± 3.44 vs. 10.48 ± 4.62, p = 0.005), less fever (80.6%vs. 100 %, p = 0.033), more hypotension (58.1 % vs. 20 %, p = 0.003), more pneumomediastinum (29 % vs. 5 %, p = 0.027). Logistic regression analysis demonstrated that age [odds ratio (OR)1.051; 95 % CI 1.007-1.097; p = 0.022], white blood cell count [OR 0.802; 95 % CI 0.670-0.960; p = 0.016], and pneumomediastinum [OR 16.514; 95 % CI 1.330-205.027; p = 0.029] were independently associated with hospital mortality.
CONCLUSIONS: Mortality rate for non-HIV PJP patients requiring ICU admission was still high. Poor prognostic factors included age, white blood cell count and pneumomediastinum.

Entities:  

Keywords:  Intensive care units; Mortality; Pneumocystis pneumonia

Year:  2016        PMID: 27686235      PMCID: PMC5041573          DOI: 10.1186/s12879-016-1855-x

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

With the widespread use of Pneumocystis jirovecii pneumonia (PJP) prophylaxis and highly active antiretroviral therapy (HAART), the incidence and mortality of PJP in HIV patients have declined substantially in Europe and the United States [1, 2]. Current estimates of hospital mortality for PJP in HIV patients range from 7 % to 11 % [3]. Most importantly, respiratory failure due to PJP requiring ICU admission was less common in HIV patients [4]. In contrast, PJP rate is increasing in non-HIV patient [5] and the reported mortality of PJP in immunocompromised non-HIV patients ranges from 48 % to 67 % [3]. The clinical course, and inflammatory response might contribute to the different mortality rates between the two groups. In addition, the sample sizes of previous studies exploring the prognostic factor were small [6-8]. The prognostic factor for severe PJP in the intensive care unit (ICU) setting has not been well described. In order to determine the prognostic factors for PJP in ICU setting, we retrospectively collected data for a consecutive series of PJP patients requiring ICU admission from October 2012 to October 2015.

Methods

Study design

We conducted a bicentric retrospective cohort study in 4 ICUs at 2 academic medical centers, including a medical ICU, an emergency ICU, and a general ICU at Peking Union Medical College Hospital (PUMCH 1800 beds), and a medical ICU at China-Japan Friendship Hospital (CJFH 1610 beds). All four ICUs contain 83 beds during the study period. All patients discharged with diagnosis of PJP from October 2012 to October 2015 were screened for eligibility. Inclusion criteria: (1) PJP, confirmed by Polymerase Chain Reaction (PCR) or methenamine silver stain of samples from bronchoalveolar lavage fluid (BALF), aspirate or sputum; (2) HIV tests negative; (3) ICU admission during index hospitalization due to respiratory insufficiency. Patients without immunocompromised background, less than 18 years old or pregnant were excluded.

Data collection

Data were gathered retrospectively from medical records at both PUMCH and CJFH by the investigators (L.C., L-Q.F., L.W., and X.H.). Patient identifiers were removed from the final data sheet and were coded with a numbered assignment. Demographic, laboratory, and clinical data were collected, including age, gender, microbiological findings for PJP, severity of illness based on the acute physiology and chronic health evaluation (APACHE) II score, comorbidities, complications, the time of PJP symptom onset, the time of PJP diagnosis, the time to appropriate antibiotics administration, and the chest radiographs and CT scan findings. Data on mechanical ventilation included type of oxygen therapy or ventilatory support on ICU admission; tidal volume, plateau pressure, positive end-expiratory pressure (PEEP), fraction of inspired oxygen (FiO2) and recruitment maneuver on ICU admission; maximal tidal volume, maximal PEEP during ICU stay. Hospital mortality was the primary outcome of our study.

Definition

(1) PJP was defined as: symptoms and radiographs compatible with PJP [9]; confirmed by PCR or methenamine silver stain of samples from bronchoalveolar lavage fluid (BALF), aspirate or sputum. (2) ventilator-associated pneumonia (VAP) was defined as a new lung parenchymal opacity on a chest radiograph of a patient intubated for more than 48 h; and simultaneous presentation of two or more of: purulent secretion from tracheal; temperature of less than 36 °C or more than 38 °C; white blood cell count (WBC) of less than 4 × 109/L or more than 10 × 109/L. (3) Pulmonary aspergillosis was defined by one host factor criterion, one microbiological criterion and one major clinical criterion (or 2 minor criteria) according to an international consensus from experts of the European Organization for Research and Treatment of Cancer (EORTC) and the National Institute of Allergy and Infectious Diseases Mycoses Study Group [10]. (4) Cytomegalovirus (CMV) infection was confirmed if pp65-antigenemia assay or CMV DNA assay were positive [11]. (5) Barotrauma was defined as pneumomediastinum or pneumothorax. (6) Pneumomediastinum was diagnosed as the presence of free air in the mediastinal cavity by CT scan or Chest x-ray showing hyperlucent lines outlining the lateral heart borders with subcutaneous emphysema around neck and chest region. This study was approved by the institutional review board of Peking Union Medical College Hospital (S-K116). Due to the retrospective nature of the study, informed written consent was waived.

Statistical analysis

For the statistical analysis, continuous data were compared with use of the Student’s t test or Mann-Whitney test as appropriate. Statistical analysis of non-continuous dichotomous data was compared by the chi-square test or the Fisher’s Exact Test as appropriate. Logistic regression models were used to determine the effect of prognostic factors on hospital death by means of stepwise backward elimination procedures, after adjusting for covariates of which the p values were less than 0.1. All statistical analyses were performed using SPSS statistical software (version 22.0; IBM Inc., Armonk, NY). All p values were two sided, and statistical significances were accepted for p < 0.05.

Results

Overall, 348 patients were discharged with a diagnosis of PJP during the study period, of whom 266 met exclusion criteria. Consequently, 82 patients were available for the final analysis, including 72 patients PUMCH and 10 patients in CJFH (Fig. 1).
Fig. 1

The patient flowchart with respect to inclusion and exclusion

The patient flowchart with respect to inclusion and exclusion Table 1 shows characteristics and outcomes of confirmed PJP in non-HIV patients. The entire 82 patient cohort had a mean age 53 ± 17 years of and APACHE II score of19 ± 5, with 41.4 % male. Most of the patients had an underlying disease of connective tissue disease (79.3 %) and history of corticosteroid therapy (84.1 %). All patients were treated with trimethoprim-sulfamethoxazole (TMP-SMX). Not a single patient received PJP prophylaxis. PJP was diagnosed by methenamine silver stain, PCR, or both in 13, 45, and 24 patients respectively, without any difference between 2 hospitals (Additional file 1: Table S2). PJP-PCR positive samples included sputum (n = 5), trachea aspirate (n = 17), and BALF (n = 49). Methenamine silver stain positive samples included sputum (n = 4), trachea aspirate (n = 12), and BALF (n = 19). All pulmonary aspergillosis was diagnosed as EORTC probable invasive aspergillosis with the presence of a host factor, a clinical criterion, and a mycological criterion. For the 38 patients receiving caspofungin, total days on caspofungin were 8 ± 6. Twenty-five patients received empirical caspofungin therapy for less than 7 days for suspected invasive fungal infection. Another 6 patients received caspofungin as a combination therapy with amphotericin B or voriconazole for aspergillosis. Although the clinical efficacy of caspofungin as salvage therapy for PJP remained controversial [12], it was administered in 7 patients in our cohort study as a salvage regimen of whom 5 patients died during study period.
Table 1

Characteristics and outcomes of confirmed pneumocystis jiroveci pneumonia in non-HIV patients

SurvivorsNon-survivors P value
N = 20 N = 62
Age, mean ± SD45 ± 1755 ± 160.014
Male, n (%)6(30.0)28(45.2)0.231
Apache II, mean ± SD17 ± 520 ± 50.010
Underlying disease
 CTD, n (%)16(80.0)49(79.0)0.926
  ILD, n (%)1(5.0)1(1.6)0.431
  Dermatomyositis, n (%)1(5.0)9(14.5)0.438
 Organ transplant, n (%)2(10.0)1(1.6)0.146
 Hematologic malignancy, n (%)0(0)3(4.8)0.427
 Solid tumor, n (%)2(10.0)2(3.2)0.249
 Corticosteroid therapy, n (%)17(94.4)52(89.7)0.539
Symptom
 Fever, n (%)20(100)50(80.6)0.033
 Dyspnea, n (%)19(95.0)56(90.3)0.515
 Cough, n (%)15(75)42(67.7)0.540
Microbiological methods
 PCR, n (%)17(85.0)54(87.1)0.811
 Methenamine silver stain, n (%)11(55.0)24(38.7)0.200
Repiratory samples
 Sputum, n (%)0(0)6(9.7)0.148
 Trachea aspirate, n (%)6(30.0)16(25.8)0.713
 Bronchoalveolar lavage, n (%)14(70.0)40(64.5)0.653
Laboratory findings
 White blood cell counts, mean ± SD10.48 ± 4.627.68 ± 3.440.005
 lymphocyte counts, mean ± SD678 ± 600514 ± 4410.117
 CD4 cell counts, mean ± SD215 ± 225159 ± 3430.510
 PaO2/FiO2 on ICU admission161 ± 69131 ± 650.064
Radiographic findings
 Ground glass opacities, n (%)20(100.0)62(100.0)
 Bilateral symmetric, n (%)17(85.0)55(88.7)0.700
Co-infections
 Bacteremia, n (%)2(10.0)6(9.7)0.966
 VAP, n (%)5(25.0)27(43.5)0.139
 Aspergillosis, pulmonary, n (%)5(25.0)13(21.0)0.705
 Cytomegalovirus, n (%)10(50.0)40(64.5)0.247
Complications
 Hypotension, n (%)4(20.0)36(58.1)0.003
  NE(mcg/kg/min), mean ± SD0.22 ± 0.160.39 ± 0.360.439
 Barotrauma
  Pneumothorax, n (%)2(10.0)9(14.5)0.465
  Pneumomediastinum, n (%)1(5.0)18(29)0.027
Intervals
 Onset to diagnosis, days, mean ± SD15 ± 1214 ± 100.488
 Onset to intubation, days, mean ± SD10 ± 612 ± 110.786
 Onset to TMP/SMZ, days, mean ± SD14 ± 1811 ± 100.538
Respiratory support
 IPPV during ICU stay, n (%)16(80.0)59(95.2)0.057
 NPPV on ICU admission, n (%)4(20.0)8(12.9)0.474
 IPPV on ICU admission, n (%)10(50.0)36(58.1)0.527
 NRM on ICU admission, n (%)6(30.0)18(29.0)0.934
Medication
 Adjunctive steroid, n (%)16(80.0)48(77.4)0.808
 Caspofungin, n (%)7(35.0)31(50.0)0.242

Values are expressed as the mean ± SD or Number (%), unless otherwise indicated. CTD Connective Tissue Disease, ILD Interstitial lung Disease, PCR polymerase chain reaction, BALF bronchoalveolar lavage fluid, VAP ventilator-associated pneumonia, NE norepinephrine, TMP/SMZ trimethoprim-sulfamethoxazole, IPPV Invasive positive pressure ventilation, NPPV noninvasive positive pressure ventilation, NRM non-rebreathing mask

Characteristics and outcomes of confirmed pneumocystis jiroveci pneumonia in non-HIV patients Values are expressed as the mean ± SD or Number (%), unless otherwise indicated. CTD Connective Tissue Disease, ILD Interstitial lung Disease, PCR polymerase chain reaction, BALF bronchoalveolar lavage fluid, VAP ventilator-associated pneumonia, NE norepinephrine, TMP/SMZ trimethoprim-sulfamethoxazole, IPPV Invasive positive pressure ventilation, NPPV noninvasive positive pressure ventilation, NRM non-rebreathing mask During their hospital stay, 62 (75.6 %) of the 82 patients died. Compared with survivors, the non-survivors had older age (55 ± 16 vs. 45 ± 17, p = 0.014), higher APACHE II score (20 ± 5 vs. 17 ± 5, p = 0.01), lower WBC (7.68 ± 3.44 vs. 10.48 ± 4.62, p = 0.005), less fever (80.6%vs. 100 %, p = 0.033), more hypotension (58.1 % vs. 20 %, p = 0.003), and more pneumomediastinum (29 % vs. 5 %, p = 0.027), while the difference was not statistically significant for lymphocyte counts, CD4 cell count, type of respiratory support on ICU admission. Four patients received high-frequency oscillatory ventilation and one patient received extracorporeal membrane oxygenation. All these five patients died during the hospital stay. To investigate the role of potential confounding prognostic factors, a multivariate analysis was performed for hospital mortality (Table 2). The Hosmer and Lemeshow goodness-of-fit test were not rejected (p = 0.640), indicating adequate model fit. No interaction terms were found to be significant in this model, and there was no collinearity between any of the independent variables. The multivariate model indicated that age [odds ratio (OR)1.051; 95 % CI 1.007-1.097; p = 0.022], WBC [OR 0.802; 95 % CI 0.670-0.960; p = 0.016], and pneumomediastinum [OR 16.514; 95 % CI 1.330-205.027; p = 0.029] were independently significantly associated with hospital mortality.
Table 2

Multivariate analysis for predictors of death in patients with confirmed pneumocystis jiroveci pneumonia in non-HIV patients

Multivariate analysisWald stat. P value
Odds Ratio (95 % CI)
Age1.051(1.007-1.097)5.2380.022
White blood cell counts0.802 (0.670-0.960)5.7870.016
Pneumomediastinum16.514(1.330-205.027)4.7610.029

The risk factors removed from the logistic regression model including: APACHE II; Fever; PaO2/FiO2 on ICU admission; IPPV on ICU admission; Hypotension

Multivariate analysis for predictors of death in patients with confirmed pneumocystis jiroveci pneumonia in non-HIV patients The risk factors removed from the logistic regression model including: APACHE II; Fever; PaO2/FiO2 on ICU admission; IPPV on ICU admission; Hypotension CT scans were performed for all those 82 patients on ICU admission. Pneumomediastinum was confirmed by CT in 14 patients and chest x-ray plus subcutaneous emphysema in 5 patients. Six patients developed pneumomediastinum before hospital admission. Other 13 patients had time intervals between ICU admission and pneumomediastinum with a mean of 9 days (range 2–30 days). The potential risk factors contributed to pneumomediastinum were listed in Table 3. There was statistically significant difference in the percentage of patients treated with non-rebreathing mask (NRM) on ICU admission between pneumomediastinum and non-pneumomediastinum (47.4 % vs. 23.8 %, p = 0.048). Tidal volume, plateau pressure, and PEEP was similar between those two groups.
Table 3

Risk factors for Pneumomediastinum of confirmed pneumocystis jiroveci pneumonia in non-HIV patients

PneumomediastinumNon-Peumomediastinum P value
N = 19 N = 63
Age, mean ± SD51 ± 1953 ± 160.606
Male, n (%)8(42.1)26(41.3)0.948
Apache II, mean ± SD19 ± 519 ± 50.948
Underlying conditions
 CTD, n (%)16(84.2)49(77.8)0.544
  ILD, n (%)1(5.3)1(1.6)0.412
  Dermatomyositis, n (%)1(5.3)9(14.3)0.440
 Organ transplant, n (%)1(5.3)2(3.2)0.552
 Hematologic malignancy, n (%)0(0)3(4.8)0.448
 Solid tumor, n (%)1(5.3)3(4.8)0.659
 Corticosteroid therapy, n (%)17(89.5)52(82.5)0.722
Symptom
 Fever, n (%)17(89.5)53(84.1)0.563
 Dyspnea, n (%)19(100)56(88.9)0.192
 Cough, n (%)14(73.7)43(68.3)0.652
Laboratory findings
 White blood cell counts, mean ± SD7.85 ± 2.928.52 ± 4.180.518
 lymphocyte counts, mean ± SD601 ± 618540 ± 4440.717
 CD4 cell counts, mean ± SD246 ± 583156 ± 1860.886
 PaO2/FiO2 on ICU admission144 ± 53136 ± 700.663
Co-infections
 Aspergillosis, pulmonary, n (%)3(15.8)15(23.8)0.544
 Cytomegalovirus, pulmonary, n (%)12(63.2)38(60.3)0.824
Intervals
 Onset to diagnosis, days, mean ± SD13 ± 514 ± 120.480
 Onset to intubation, days, mean ± SD11 ± 612 ± 110.753
 Onset to TMP/SMZ, days, mean ± SD9 ± 612 ± 130.230
Respiratory support
 IPPV during ICU stay, n (%)18(94.7)57(90.5)0.560
  VT maximal(ml/kg), mean ± SD7.1 ± 2.08.1 ± 2.40.208
  PEEP maximal(cmH2O), mean ± SD11 ± 510 ± 40.415
 NPPV on ICU admission, n (%)3(15.8)9(14.3)0.871
  IPAP(cmH2O), mean ± SD14 ± 311 ± 30.118
  EPAP(cmH2O), mean ± SD7 ± 27 ± 20.980
 IPPV on ICU admission, n (%)7(36.8)39(61.9)0.054
  VT(ml/kg), mean ± SD6.8 ± 1.07.1 ± 1.20.462
  Pplat(cmH2O), mean ± SD25 ± 424 ± 60.821
  PEEP(cmH2O), mean ± SD10 ± 410 ± 41.000
  FiO2, mean ± SD0.74 ± 0.150.65 ± 0.180.066
  Recruitment maneuvers, n (%)6(35.3)17(30.9)0.735
 NRM on ICU admission, n (%)9(47.4)15(23.8)0.048

Values are expressed as the mean ± SD or Number (%), unless otherwise indicated. VT tidal volume of predicted body weight, Pplat plateau pressure, PEEP positive end-expiratory pressure, FiO2 fraction of inspired oxygen, IPAP inspiratory positive airway pressure, EPAP expiratory positive airway pressure

Risk factors for Pneumomediastinum of confirmed pneumocystis jiroveci pneumonia in non-HIV patients Values are expressed as the mean ± SD or Number (%), unless otherwise indicated. VT tidal volume of predicted body weight, Pplat plateau pressure, PEEP positive end-expiratory pressure, FiO2 fraction of inspired oxygen, IPAP inspiratory positive airway pressure, EPAP expiratory positive airway pressure

Discussion

In this bicentric retrospective observational study across 4 Chinese ICUs, we found that age, WBC, and pneumomediastinum were significantly associated with hospital mortality in non-HIV immunocompromised patients with severe PJP who had been admitted to ICU. Use of non-rebreathing mask might contribute to the development of pneumomediastinum. The most interesting finding of our study was that pneumomediastinum was associated with increased hospital mortality. Pneumomediastinum is the presence of extra-alveolar air in the mediastinum, which is believed to arise from free air leaking from ruptured alveoli. It was described as an uncommon complication of opportunistic infections in HIV-infected patients [13, 14]. However, 24.4 % patients in our study developed pneumomediastinum. The incidence rate discrepancies may be due to different underlying disease (HIV vs. Non-HIV) and few reported incidence rate in previous studies. A retrospective radiographic analysis reported an incidence rate of 11.1 % (4 of 36) in a cohort of moderate non-HIV PJP patients with a mortality rate of 33.3 % [15]. We also found more pneumomediastinum developed in the NRM group. This might be explained by higher trans-pulmonary pressure and tidal volume during spontaneous breath resulting in air leak, which was consistent with a previous report of HIV patients [13]. Delayed intubation was considered as a risk factor for worse outcome [6]. Although there was no difference in the time interval from symptom onset to intubation in our study, use of non-rebreathing mask instead of positive pressure support on ICU admission suggested delay intubation which was very difficult to define. Development of pneumothorax was independently associated with increased mortality in previous studies [6, 16]. We did not find any difference in mortality between patients with and without pneumothorax. Protective lung ventilation strategies might account for the different findings. The tidal volumes in our study were smaller than Festic and colleagues (7 ml/kg vs. 10 ml/kg). Despite the application of protective lung ventilation, one fourth patient in this cohort developed pneumomediastinum, which suggested that pneumomediastinum was not a complication of intervention. As Cho et al. [17] reported, the development of the pulmonary cysts and bronchiectasis that were noted in follow up CT but were not visible on CT at admission could be risk factors for development of pneumomediastinum. We also found lower WBC was related to increased mortality. Although WBC has never been reported as risk factors, previous study [18] suggested a trend of higher WBC in non-HIV patients and survivors, which was consistent with our findings. Overall mortality of the patients in our study was 75.6 %. Although the reported mortality rates of ICU non-HIV patients with PJP in previous studies were 38.9-84.2 % [6–8, 18–28] (Additional file 2: Table S1), most of the mortality rates were less than 70 %, which were lower than that of our study. The high hospital mortality rate in our study possibly was related to different underlying diseases and no prophylaxis of PJP for those patients. However, although prophylaxis for PJP was recommended for HIV patients, the efficacy of prophylaxis for immunocompromised non–HIV patients has not been well established [29-31], especially for the patients with underlying disease of connective tissue disease. In a recent study of ICU patients with PJP, adjunctive steroid was associated with increased mortality [16]. This might be the cause of high hospital mortality in our study. Considering that most of the patients in our study received steroid therapy before ICU admission, the use of steroid was not avoidable. Moreover, there was no difference in steroid therapy between survivors and non-survivors, and the effects of other covariates remained significant. In a retrospective study, Chen and colleagues reported the characteristics and prognostic factors of 69 HIV-negative patients with PJP from PUCMH during 10-year study period [25]. In comparison, we had enrolled 72 patients with confirmed PJP during a 3-year period in our cohort (Additional file 1: Table S2, Additional file 3: Table S3). Increasing awareness of the disease in immunocompromised patients among clinicians and widespread implementation of PCR technique for PJP diagnosis might account for the discrepancy between Chen’s study and ours.

Limitation

The main limitation of the current study was the retrospective nature of the investigation. Considering the relatively low incidence of PJP in ICU, it would be reasonable to prospectively collect data in the future investigation based on current finding. The second limitation was the small population recruited. To our best knowledge, only one study [8] included more ICU PJP patients than ours (88 vs. 82). However, because we focused on the prognostic factors for PJP in an ICU setting, our findings were more helpful to the ICU patients. Third, PJP was diagnosed on the basis of PJP PCR result in some patients. Due to the colonization of PJP, there is a possibility of false positive results. According to recent studies [32, 33], quantitative real-time Polymerase Chain Reaction (PCR) might be helpful in discriminating colonization from infection. However, those real-time PCR was not available in our centers during the study period. Nevertheless, all patients included in analysis had symptoms and their radiographic findings were compatible with PJP.

Conclusion

Our finding suggested that PJP in non-HIV patients requiring ICU admission remains a challenge for clinician. Poor prognostic factors included older age, lower WBC, and development of pneumomediastinum.
  33 in total

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4.  Pneumocystis jiroveci pneumonia in immunocompromised patients: delayed diagnosis and poor outcomes in non-HIV-infected individuals.

Authors:  Ming-Chi Li; Nan-Yao Lee; Ching-Chi Lee; Hsin-Chun Lee; Chia-Ming Chang; Wen-Chien Ko
Journal:  J Microbiol Immunol Infect       Date:  2012-10-11       Impact factor: 4.399

Review 5.  Prophylaxis of Pneumocystis pneumonia in immunocompromised non-HIV-infected patients: systematic review and meta-analysis of randomized controlled trials.

Authors:  Hefziba Green; Mical Paul; Liat Vidal; Leonard Leibovici
Journal:  Mayo Clin Proc       Date:  2007-09       Impact factor: 7.616

6.  Diagnosis of Pneumocystis jirovecii pneumonia in immunocompromised patients by real-time PCR: a 4-year prospective study.

Authors:  Florence Robert-Gangneux; Sorya Belaz; Matthieu Revest; Pierre Tattevin; Stéphane Jouneau; Olivier Decaux; Sylviane Chevrier; Yves Le Tulzo; Jean-Pierre Gangneux
Journal:  J Clin Microbiol       Date:  2014-07-09       Impact factor: 5.948

7.  Revised definitions of invasive fungal disease from the 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) Consensus Group.

Authors:  Ben De Pauw; Thomas J Walsh; J Peter Donnelly; David A Stevens; John E Edwards; Thierry Calandra; Peter G Pappas; Johan Maertens; Olivier Lortholary; Carol A Kauffman; David W Denning; Thomas F Patterson; Georg Maschmeyer; Jacques Bille; William E Dismukes; Raoul Herbrecht; William W Hope; Christopher C Kibbler; Bart Jan Kullberg; Kieren A Marr; Patricia Muñoz; Frank C Odds; John R Perfect; Angela Restrepo; Markus Ruhnke; Brahm H Segal; Jack D Sobel; Tania C Sorrell; Claudio Viscoli; John R Wingard; Theoklis Zaoutis; John E Bennett
Journal:  Clin Infect Dis       Date:  2008-06-15       Impact factor: 9.079

8.  Clinical outcome and predictors of survival in patients with pneumocystis jirovecii pneumonia--results of a tertiary referral centre.

Authors:  Felicitas Roembke; Hauke Sebastian Heinzow; Thomas Gosseling; Achim Heinecke; Dirk Domagk; Wolfram Domschke; Tobias Meister
Journal:  Clin Respir J       Date:  2013-10-01       Impact factor: 2.570

Review 9.  Extra corporeal membrane oxygenation to facilitate lung protective ventilation and prevent ventilator-induced lung injury in severe Pneumocystis pneumonia with pneumomediastinum: a case report and short literature review.

Authors:  Husain Shabbir Ali; Ibrahim Fawzy Hassan; Saibu George
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10.  Newly formed cystic lesions for the development of pneumomediastinum in Pneumocystis jirovecii pneumonia.

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Journal:  Infect Drug Resist       Date:  2022-08-21       Impact factor: 4.177

2.  Lower Mortality Associated With Adjuvant Corticosteroid Therapy in Non-HIV-Infected Patients With Pneumocystis jirovecii Pneumonia: A Single-Institution Retrospective US Cohort Study.

Authors:  William Mundo; Louis Morales-Shnaider; Selam Tewahade; Eric Wagner; Solana Archuleta; Mohamed Bandali; Sindhu Chadalawada; Steven C Johnson; Carlos Franco-Paredes; Leland Shapiro; Andrés F Henao-Martínez
Journal:  Open Forum Infect Dis       Date:  2020-08-13       Impact factor: 3.835

3.  Extracorporeal membrane oxygenation rescue for severe pneumocystis pneumonia with the Macklin effect: a case report.

Authors:  Guoqing Huang; Liping Zhou; Ning Yang; Ping Wu; Xiaoye Mo
Journal:  BMC Infect Dis       Date:  2022-06-27       Impact factor: 3.667

4.  Echinocandins for Pneumocystis jirovecii pneumonia in non-HIV patients: A case report.

Authors:  Hui-Bin Huang; Jing-Min Peng; Bin Du
Journal:  Exp Ther Med       Date:  2018-08-07       Impact factor: 2.447

5.  VV-ECMO combined with prone position ventilation in the treatment of Pneumocystis jirovecii pneumonia: A case report.

Authors:  Lijing Jia; Zhiyang Zhang; Yinxiang Bai; Quansheng Du
Journal:  Medicine (Baltimore)       Date:  2022-01-07       Impact factor: 1.889

6.  Prognostic factors of severe pneumonia in patients treated with rituximab in the intensive care unit.

Authors:  Lili Yao; Yu Huang; Andi Xu
Journal:  J Int Med Res       Date:  2022-03       Impact factor: 1.671

7.  A Clinically Applicable Nomogram for Predicting the Risk of Invasive Mechanical Ventilation in Pneumocystis jirovecii Pneumonia.

Authors:  Rongjun Wan; Lu Bai; Yusheng Yan; Jianmin Li; Qingkai Luo; Hua Huang; Lingmei Huang; Zhi Xiang; Qing Luo; Zi Gu; Qing Guo; Pinhua Pan; Rongli Lu; Yimin Fang; Chengping Hu; Juan Jiang; Yuanyuan Li
Journal:  Front Cell Infect Microbiol       Date:  2022-03-10       Impact factor: 5.293

8.  Risk Factors of Mortality From Pneumocystis Pneumonia in Non-HIV Patients: A Meta-Analysis.

Authors:  Yuqiong Wang; Xiaoyi Zhou; Maidinuer Saimi; Xu Huang; Ting Sun; Guohui Fan; Qingyuan Zhan
Journal:  Front Public Health       Date:  2021-06-16

9.  Epidemiological and clinical characteristics of immunocompromised patients infected with Pneumocystis jirovecii in a twelve-year retrospective study from Norway.

Authors:  Stine Grønseth; Tormod Rogne; Raisa Hannula; Bjørn Olav Åsvold; Jan Egil Afset; Jan Kristian Damås
Journal:  BMC Infect Dis       Date:  2021-07-07       Impact factor: 3.090

10.  PJP granuloma in an Immune competent host: Case report and literature review.

Authors:  Chandra S Pingili; Vel Sivapalan
Journal:  IDCases       Date:  2017-07-08
  10 in total

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