Risk factors associated with increased discontinuation rate of trimethoprim–sulfamethoxazole used as a primary prophylaxis for Pneumocystis pneumonia: A retrospective cohort study

2021 ◽  
Vol 67 ◽  
pp. 101999
Author(s):  
Toshihito Otani ◽  
Kakuhiro Yamaguchi ◽  
Shinjiro Sakamoto ◽  
Yasushi Horimasu ◽  
Takeshi Masuda ◽  
...  
BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049089
Author(s):  
Marcia C Castro ◽  
Susie Gurzenda ◽  
Eduardo Marques Macário ◽  
Giovanny Vinícius A França

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.


2018 ◽  
Vol 124 (5) ◽  
pp. 607-614 ◽  
Author(s):  
Akihiro Komatsu ◽  
Tetsuhiro Yoshino ◽  
Takeshi Suzuki ◽  
Tomonori Nakamura ◽  
Takanori Kanai ◽  
...  

2010 ◽  
Vol 43 (4) ◽  
pp. 452-454 ◽  
Author(s):  
Felipe Francisco Tuon ◽  
Leila Carolina Bianchet ◽  
Sergio Ricardo Penteado-Filho

INTRODUCTION: Enterobacter can be included in the group of extended spectrum β-lactamases (EBSL)-producing bacteria, though few studies exist evaluating risk factors associated with this microorganism. A retrospective cohort study was conducted to determine risk factors associated with ESBL-producing-Enterobacter and mortality METHODS: A retrospective cohort study with 58 bacteremia caused by ESBL-producing-Enterobacter (28 cases) and non-ESBL (30 cases) RESULTS: Risk factors associated with ESBL-Enterobacter were trauma, length of hospitalization, admission to the intensive care unit, urinary catheter and elective surgery (p< 0.05). The survival curves were similar for ESBL and non-ESBL CONCLUSIONS: ESBL-producing-Enterobacter bacteremia is prevalent and the survival curve was similar to non-ESBL-producing strains.


Author(s):  
Lucia Cazzoletti ◽  
Maria Elisabetta Zanolin ◽  
Ilaria Tocco Tussardi ◽  
Mulubirhan Assefa Alemayohu ◽  
Ernesto Zanetel ◽  
...  

The authors would like to make the following corrections to this paper [...]


2020 ◽  
Vol 148 ◽  
Author(s):  
M. Z. Islam ◽  
B. K. Riaz ◽  
A. N. M. S. Islam ◽  
F. Khanam ◽  
J. Akhter ◽  
...  

Abstract Diverse risk factors intercede the outcomes of coronavirus disease 2019 (COVID-19). We conducted this retrospective cohort study with a cohort of 1016 COVID-19 patients diagnosed in May 2020 to identify the risk factors associated with morbidity and mortality outcomes. Data were collected by telephone-interview and reviewing records using a questionnaire and checklist. The study identified morbidity and mortality risk factors on the 28th day of the disease course. The majority of the patients were male (64.1%) and belonged to the age group 25–39 years (39.4%). Urban patients were higher in proportion than rural (69.3% vs. 30.7%). Major comorbidities included 35.0% diabetes mellitus (DM), 28.4% hypertension (HTN), 16.6% chronic obstructive pulmonary disease (COPD), and 7.8% coronary heart disease (CHD). The morbidity rate (not-cured) was 6.0%, and the mortality rate (non-survivor) was 2.5%. Morbidity risk factors included elderly (AOR = 2.56, 95% CI = 1.31–4.99), having comorbidity (AOR = 1.43, 95% CI = 0.83–2.47), and smokeless tobacco use (AOR = 2.17, 95% CI = 0.84–5.61). The morbidity risk was higher with COPD (RR = 2.68), chronic kidney disease (CKD) (RR = 3.33) and chronic liver disease (CLD) (RR = 3.99). Mortality risk factors included elderly (AOR = 7.56, 95% CI = 3.19–17.92), having comorbidity (AOR = 5.27, 95% CI = 1.88–14.79) and SLT use (AOR = 1.93, 95% CI = 0.50–7.46). The mortality risk was higher with COPD (RR = 7.30), DM (RR = 2.63), CHD (RR = 4.65), HTN (RR = 3.38), CKD (RR = 9.03), CLD (RR = 10.52) and malignant diseases (RR = 9.73). We must espouse programme interventions considering the morbidity and mortality risk factors to condense the aggressive outcomes of COVID-19.


2020 ◽  
Vol 9 (1) ◽  
pp. 1546-1553 ◽  
Author(s):  
Tao Liu ◽  
Wenjia Liang ◽  
Haojie Zhong ◽  
Jianfeng He ◽  
Zihui Chen ◽  
...  

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