scholarly journals Comparison of patient characteristics and in-hospital mortality between patients with COVID-19 in 2020 and those with influenza in 2017–2020: a multicenter, retrospective cohort study in Japan

2022 ◽  
Vol 20 ◽  
pp. 100365
Yuta Taniguchi ◽  
Toshiki Kuno ◽  
Jun Komiyama ◽  
Motohiko Adomi ◽  
Toshiki Suzuki ◽  
2021 ◽  
Vol 49 (6) ◽  
pp. 030006052110251
Minqiang Huang ◽  
Ming Han ◽  
Wei Han ◽  
Lei Kuang

Objective We aimed to compare the efficacy and risks of proton pump inhibitor (PPI) versus histamine-2 receptor blocker (H2B) use for stress ulcer prophylaxis (SUP) in critically ill patients with sepsis and risk factors for gastrointestinal bleeding (GIB). Methods In this retrospective cohort study, we used the Medical Information Mart for Intensive Care III Clinical Database to identify critically ill adult patients with sepsis who had at least one risk factor for GIB and received either an H2B or PPI for ≥48 hours. Propensity score matching (PSM) was conducted to balance baseline characteristics. The primary outcome was in-hospital mortality. Results After 1:1 PSM, 1056 patients were included in the H2B and PPI groups. The PPI group had higher in-hospital mortality (23.8% vs. 17.5%), GIB (8.9% vs. 1.6%), and pneumonia (49.6% vs. 41.6%) rates than the H2B group. After adjusting for risk factors of GIB and pneumonia, PPI use was associated with a 1.28-times increased risk of in-hospital mortality, 5.89-times increased risk of GIB, and 1.32-times increased risk of pneumonia. Conclusions Among critically ill adult patients with sepsis at risk for GIB, SUP with PPIs was associated with higher in-hospital mortality and higher risk of GIB and pneumonia than H2Bs.

2021 ◽  
Vol 8 ◽  
pp. 205435812110277
Tyler Pitre ◽  
Angela (Hong Tian) Dong ◽  
Aaron Jones ◽  
Jessica Kapralik ◽  
Sonya Cui ◽  

Background: The incidence of acute kidney injury (AKI) in patients with COVID-19 and its association with mortality and disease severity is understudied in the Canadian population. Objective: To determine the incidence of AKI in a cohort of patients with COVID-19 admitted to medicine and intensive care unit (ICU) wards, its association with in-hospital mortality, and disease severity. Our aim was to stratify these outcomes by out-of-hospital AKI and in-hospital AKI. Design: Retrospective cohort study from a registry of patients with COVID-19. Setting: Three community and 3 academic hospitals. Patients: A total of 815 patients admitted to hospital with COVID-19 between March 4, 2020, and April 23, 2021. Measurements: Stage of AKI, ICU admission, mechanical ventilation, and in-hospital mortality. Methods: We classified AKI by comparing highest to lowest recorded serum creatinine in hospital and staged AKI based on the Kidney Disease: Improving Global Outcomes (KDIGO) system. We calculated the unadjusted and adjusted odds ratio for the stage of AKI and the outcomes of ICU admission, mechanical ventilation, and in-hospital mortality. Results: Of the 815 patients registered, 439 (53.9%) developed AKI, 253 (57.6%) presented with AKI, and 186 (42.4%) developed AKI in-hospital. The odds of ICU admission, mechanical ventilation, and death increased as the AKI stage worsened. Stage 3 AKI that occurred during hospitalization increased the odds of death (odds ratio [OR] = 7.87 [4.35, 14.23]). Stage 3 AKI that occurred prior to hospitalization carried an increased odds of death (OR = 5.28 [2.60, 10.73]). Limitations: Observational study with small sample size limits precision of estimates. Lack of nonhospitalized patients with COVID-19 and hospitalized patients without COVID-19 as controls limits causal inferences. Conclusions: Acute kidney injury, whether it occurs prior to or after hospitalization, is associated with a high risk of poor outcomes in patients with COVID-19. Routine assessment of kidney function in patients with COVID-19 may improve risk stratification. Trial registration: The study was not registered on a publicly accessible registry because it did not involve any health care intervention on human participants.

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 224
Cristian Díaz-Vélez ◽  
Diego Urrunaga-Pastor ◽  
Anthony Romero-Cerdán ◽  
Eric Ricardo Peña-Sánchez ◽  
Jorge Luis Fernández Mogollon ◽  

Background: Peru was one of the countries with the highest COVID-19 mortality worldwide during the first stage of the pandemic. It is then relevant to evaluate the risk factors for mortality in patients hospitalized for COVID-19 in three hospitals in Peru in 2020, from March to May, 2020.  Methods: We carried out a retrospective cohort study. The population consisted of patients from three Peruvian hospitals hospitalized for a diagnosis of COVID-19 during the March-May 2020 period. Independent sociodemographic variables, medical history, symptoms, vital functions, laboratory parameters and medical treatment were evaluated. In-hospital mortality was assessed as the outcome. We performed Cox regression models (crude and adjusted) to evaluate risk factors for in-hospital mortality. Hazard ratios (HR) with their respective 95% confidence intervals (95% CI) were calculated.  Results: We analyzed 493 hospitalized adults; 72.8% (n=359) were male and the mean age was 63.3 ± 14.4 years. COVID-19 symptoms appeared on average 7.9 ± 4.0 days before admission to the hospital, and the mean oxygen saturation on admission was 82.6 ± 13.8. While 67.6% (n=333) required intensive care unit admission, only 3.3% (n=16) were admitted to this unit, and 60.2% (n=297) of the sample died. In the adjusted regression analysis, it was found that being 60 years old or older (HR=1.57; 95% CI: 1.14-2.15), having two or more comorbidities (HR=1.53; 95% CI: 1.10-2.14), oxygen saturation between 85-80% (HR=2.52; 95% CI: 1.58-4.02), less than 80% (HR=4.59; 95% CI: 3.01-7.00), and being in the middle (HR=1.65; 95% CI: 1.15-2.39) and higher tertile (HR=2.18; 95% CI: 1.51-3.15) of the neutrophil-to-lymphocyte ratio, increased the risk of mortality.  Conclusions: The risk factors found agree with what has been described in the literature and allow the identification of vulnerable groups in whom monitoring and early identification of symptoms should be prioritized in order to reduce mortality.

2019 ◽  
Vol 58 (5) ◽  
pp. 805-811 ◽  
Adinda Mieras ◽  
H. Roeline W. Pasman ◽  
Bregje D. Onwuteaka-Philipsen ◽  
Anne-Marie M.C. Dingemans ◽  
Edith V. Kok ◽  

2019 ◽  
Vol 35 (11) ◽  
pp. 1297-1301
Antonio Paulo Nassar ◽  
Beatriz Nicolau Nassif ◽  
Daniel Vitório Veiga dos Santos ◽  
Pedro Caruso

Introduction: Previous studies have evaluated procalcitonin clearance (PCTc) as a marker of sepsis severity but at different time points and cutoffs. We aimed to assess the predictive performance of PCTc at different time points of sepsis management in patients with cancer. Methods: This retrospective cohort study included patients with cancer admitted to an intensive care unit between 2013 and 2016. We calculated PCTc at 24, 48, 72, and 96 hours after admission. Its predictive performance for hospital and 90-day mortality was analyzed with receiver operating characteristic curves and areas under the curves (AUCs). Sensitivity and specificity were calculated for different time points using different cutoffs. Results: We included 301 patients. Areas under the curves ranged from 0.62 for PCTc at 24 hours to 0.68 for PCTc at 72 and 96 hours for hospital mortality prediction, and from 0.61 for PCTc at 24 hours to 0.68 for PCTc at 72 hours for 90-day mortality prediction. For hospital mortality prediction, PCTc at 72 hours ≤80% showed the best sensitivity (96.0%; 95% confidence interval [CI]: 90.8%-98.7%), and PCTc at 96 hours ≤50% showed the best specificity (70.7%; 95% CI: 54.5%-83.9%). Conclusions: Procalcitonin clearance at 24, 48, 72, and 96 hours poorly predicted hospital and 90-day mortality. Therefore, daily PCT measurement should not be used to predict mortality for patients with cancer and sepsis.

2021 ◽  
Vol 171 ◽  
pp. 108588
Yukihito Sato ◽  
Kojiro Morita ◽  
Akira Okada ◽  
Hiroki Matsui ◽  
Kiyohide Fushimi ◽  

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