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Aetiology and prognostic risk factors of mortality in patients with pneumonia receiving glucocorticoids alone or glucocorticoids and other immunosuppressants: a retrospective cohort study.

ABSTRACT: OBJECTIVES:Long-term use of high-dose glucocorticoids can lead to severe immunosuppression and increased risk of treatment-resistant pneumonia and mortality. We investigated the aetiology and prognostic risk factors of mortality in hospitalised patients who developed pneumonia while receiving glucocorticoid therapy alone or glucocorticoid and other immunosuppressant therapies. DESIGN:Retrospective cohort study. SETTING:Six secondary and tertiary academic hospitals in China. PARTICIPANTS:Patients receiving glucocorticoids who were hospitalised with pneumonia between 1 January 2013 and 31 December 2019. MAIN OUTCOMES:We analysed the prevalence of comorbidities, microbiology, antibiotic susceptibility patterns, 30-day and 90-day mortality and prognostic risk factors. RESULTS:CONCLUSIONS: A total of 716 patients were included, with pneumonia pathogens identified in 69.8% of patients. Significant morbidities occurred, including respiratory failure (50.8%), intensive care unit transfer (40.8%) and mechanical ventilation (36%), with a 90-day mortality of 26.0%. Diagnosis of pneumonia occurred within 6 months of glucocorticoid initiation for 69.7% of patients with Cytomegalovirus (CMV) pneumonia and 79.0% of patients with Pneumocystis jirovecii pneumonia (PCP). Pathogens, including Pneumocystis, CMV and multidrug-resistant bacteria, were identified more frequently in patients with persistent lymphocytopenia and high-dose glucocorticoid treatment (?30 mg/day of prednisolone or equivalent within 30 days before admission). The 90-day mortality was significantly lower for non-CMV viral pneumonias than for PCP (p<0.05), with a similar mortality as CMV pneumonias (24.2% vs 38.1% vs 27.4%, respectively). Cox regression analysis indicated several independent negative predictors for mortality in this patient population, including septic shock, respiratory failure, persistent lymphocytopenia, interstitial lung disease and high-dose glucocorticoid use.Patients who developed pneumonia while receiving glucocorticoid therapy experienced high rates of opportunistic infections, with significant morbidity and mortality. These findings should be carefully considered when determining treatment strategies for this patient population.

SUBMITTER: Li L

PROVIDER: S-EPMC7592294 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Aetiology and prognostic risk factors of mortality in patients with pneumonia receiving glucocorticoids alone or glucocorticoids and other immunosuppressants: a retrospective cohort study.

Li Lijuan L Hsu Steven H SH Gu Xiaoying X Jiang Shan S Shang Lianhan L Sun Guolei G Sun Lingxiao L Zhang Li L Wang Chuan C Ren Yali Y Wang Jinxiang J Pan Jianliang J Liu Jiangbo J Bin Cao C

BMJ open 20201027 10

<h4>Objectives</h4>Long-term use of high-dose glucocorticoids can lead to severe immunosuppression and increased risk of treatment-resistant pneumonia and mortality. We investigated the aetiology and prognostic risk factors of mortality in hospitalised patients who developed pneumonia while receiving glucocorticoid therapy alone or glucocorticoid and other immunosuppressant therapies.<h4>Design</h4>Retrospective cohort study.<h4>Setting</h4>Six secondary and tertiary academic hospitals in China. ...[more]

PMID: 33109645

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Project description:ObjectivesThe assessment of accurate mortality risk is essential for managing pneumonia patients with connective tissue disease (CTD) treated with glucocorticoids or/and immunosuppressants. This study aimed to construct a nomogram for predicting 90-day mortality in pneumonia patients using machine learning.MethodsData were obtained from the DRYAD database. Pneumonia patients with CTD were screened. The samples were randomly divided into a training cohort (70%) and a validation cohort (30%). A univariate Cox regression analysis was used to screen for prognostic variables in the training cohort. Prognostic variables were entered into the least absolute shrinkage and selection operator (Lasso) and a random survival forest (RSF) analysis was used to screen important prognostic variables. The overlapping prognostic variables of the two algorithms were entered into the stepwise Cox regression analysis to screen the main prognostic variables and construct a model. Model predictive power was assessed using the C-index, the calibration curve, and the clinical subgroup analysis (age, gender, interstitial lung disease, diabetes mellitus). The clinical benefits of the model were assessed using a decision curve analysis (DCA). Similarly, the C-index was calculated and the calibration curve was plotted to verify the model stability in the validation cohort.ResultsA total of 368 pneumonia patients with CTD (training cohort: 247; validation cohort: 121) treated with glucocorticoids or/and immunosuppressants were included. The univariate Cox regression analysis obtained 19 prognostic variables. Lasso and RSF algorithms obtained eight overlapping variables. The overlapping variables were entered into a stepwise Cox regression to obtain five variables (fever, cyanosis, blood urea nitrogen, ganciclovir treatment, and anti-pseudomonas treatment), and a prognostic model was constructed based on the five variables. The C-index of the construction nomogram of the training cohort was 0.808. The calibration curve, DCA results, and clinical subgroup analysis showed that the model also had good predictive power. Similarly, the C-index of the model in the validation cohort was 0.762 and the calibration curve had good predictive value.ConclusionIn this study, the nomogram developed performed well in predicting the 90-day risk of death in pneumonia patients with CTD treated with glucocorticoids or/and immunosuppressants.

Project description:BackgroundFrailty is associated with poor prognosis in a wide range of illnesses. However, its prognostic implications for older patients with community-acquired pneumonia (CAP) are not adequately addressed.MethodsIn this study, patients were classified into 3 groups according to the frailty index based on standard laboratory tests (FI-Lab) score: robust (FI-Lab < 0.2), pre-frail (FI-Lab 0.2-0.35), and frail (FI-Lab ≥ 0.35). The relationships between frailty and all-cause mortality and short-term clinical outcomes (length of stay, duration of antibiotic therapy, in-hospital mortality) were examined.ResultsFinally, 1164 patients were included, the median age was 75 years (interquartile range: 69, 82), and 438 patients (37.6%) were women. According to FI-Lab, 261(22.4%), 395(33.9%), and 508(43.6%) were robust, pre-frail, and frail. After adjustment for confounding variables, frailty was independently associated with prolonged antibiotic treatment (p = 0.037); pre-frailty and frailty were independently associated with longer inpatient days (p < 0.05 for both). The risk of in-hospital mortality was independently increased in frail patients (HR = 5.01, 95% CI = 1.51-16.57, p = 0.008) but not pre-frail patients (HR = 2.87, 95% CI = 0.86-9.63, p = 0.088) compared to robust patients. During a median follow-up of 33.9 months (interquartile range: 32.8 to 35.1 months), 408 (35.1%) patients died, of whom 29 (7.1%) were robust, 112 (27.5%) were pre-frail, and 267 (65.9%) were frail. Compared to robust patients, frail and pre-frail were significantly associated with increased risk for all-cause death (HR = 4.29, 95%CI: 1.78-10.35 and HR = 2.42 95%CI: 1.01-5.82, respectively).ConclusionsFrailty is common among older patients with CAP and is strongly associated with increased mortality, longer length of stay, and duration of antibiotics. A routine frail assessment at the admission of elderly patients with CAP is necessary as the first step for appropriate multidisciplinary interventions.

Project description:BackgroundStudies examining the relation between comprehensive care and health outcomes associated with comorbidities unrelated to HIV infection have focused mainly on the health outcomes of HIV-infected people and comorbid substance use disorders. We aimed to assess the impact of retention in comprehensive HIV infection care on overall, AIDS-related and non-AIDS-related mortality.MethodsUsing a retrospective cohort design, we collected data for HIV-infected patients aged 19 years or more who first visited a comprehensive HIV infection clinic in Vancouver between Jan. 1, 2004, and Dec. 31, 2014. We defined retention in care as visit constancy (whether the patient attended the clinic at least once per given period) of 75% or greater. We used Poisson regression modelling to examine mortality trends. We performed Cox proportional hazards modelling to assess survival by retention during the first year of follow-up and identify factors associated with death.ResultsA total of 2101 patients were included in the study. Of the 2101, 1340 (63.8%) were retained in the first year of care, and 271 (12.9%) died during the study period. Among the 264 cases in which the cause of death was known, although the primary underlying cause of death (74 [28.0%]) was AIDS-related, half of all AIDS-related deaths (37/74 [50%]) occurred early in the study (2004-2007). In later years, most deaths (147/184 [79.9%]) were non-AIDS-related. Overall mortality was significantly reduced among patients with higher retention in care during the first year of follow-up (per 20% increase in visit constancy; adjusted hazard ratio [HR] 0.87, 95% confidence interval [CI] 0.79-0.96). Higher retention was also associated with reduced risk of AIDS-related death (adjusted HR 0.79, 95% CI 0.64-0.97).InterpretationAlthough there was an overall trend toward decreased AIDS-related mortality over time, retention in care markedly decreased the likelihood of death. Maintaining patient engagement in comprehensive ancillary care is a patient-centred way of decreasing mortality rates among HIV-infected people.

Dataset Information

Aetiology and prognostic risk factors of mortality in patients with pneumonia receiving glucocorticoids alone or glucocorticoids and other immunosuppressants: a retrospective cohort study.

Publications

Aetiology and prognostic risk factors of mortality in patients with pneumonia receiving glucocorticoids alone or glucocorticoids and other immunosuppressants: a retrospective cohort study.

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