scholarly journals Use of antipsychotics and the risk of acute respiratory failure among adults: A disease risk score‐matched nested case–control study

2020 ◽  
Vol 86 (11) ◽  
pp. 2204-2216 ◽  
Author(s):  
Meng‐Ting Wang ◽  
Chen Wei Lin ◽  
Chen‐Liang Tsai ◽  
Yun‐Han Wang ◽  
Jyun‐Heng Lai ◽  
...  
1991 ◽  
Vol 89 (1) ◽  
pp. 59-67 ◽  
Author(s):  
Matti Jauhiainen ◽  
Pekka Koskinen ◽  
Christian Ehnholm ◽  
M.Heikki Frick ◽  
Matti Mänttäri ◽  
...  

2019 ◽  
Vol 16 ◽  
pp. 147997311882031
Author(s):  
Willy Chou ◽  
Chih-Cheng Lai ◽  
Kuo-Chen Cheng ◽  
Kuo-Shu Yuan ◽  
Chin-Ming Chen ◽  
...  

The effect of early rehabilitation on the outcome of patients with chronic obstructive pulmonary disease (COPD) and acute respiratory failure (ARF) in intensive care units (ICUs) remains unclear. We examined the effect of early rehabilitation on the outcomes of COPD patients requiring mechanical ventilation (MV) in the ICU. This retrospective, observational, case–control study was conducted in a medical center with a 19-bed ICU. The records of all 105 ICU patients with COPD and ARF who required MV from January to December 2011 were examined. The outcomes (MV duration, rates of successful weaning and survival, lengths of ICU and hospital stays, and medical costs) were recorded and analyzed. During the study period, 35 patients with COPD underwent early rehabilitation in the ICU and 70 demographically and clinically matched patients with similar COPD stage, cause of intubation, type of respiratory failure, and levels of disease severity who had not undergone early rehabilitation in the ICU were selected as comparative controls. Multiple regression analysis showed that early rehabilitation was significantly negatively associated with MV duration. Early rehabilitation for COPD patients in the ICU with ARF shortened the duration of their MV.


2021 ◽  
Vol 9 (7) ◽  
Author(s):  
Sean M. Kearns ◽  
Katelyn W. Ahern ◽  
James T. Patrie ◽  
William B. Horton ◽  
Thurl E. Harris ◽  
...  

2018 ◽  
Vol 278 ◽  
pp. 1-6 ◽  
Author(s):  
Huanhuan Hu ◽  
Tetsuya Mizoue ◽  
Naoko Sasaki ◽  
Takayuki Ogasawara ◽  
Kentaro Tomita ◽  
...  

2016 ◽  
Vol 183 (10) ◽  
pp. 949-957 ◽  
Author(s):  
Rishi J. Desai ◽  
Robert J. Glynn ◽  
Shirley Wang ◽  
Joshua J. Gagne

2021 ◽  
Author(s):  
Hongbing Peng ◽  
Chao Hu ◽  
Wusheng Deng ◽  
Lingmei Huang ◽  
Baowei Luo ◽  
...  

Abstract Background: Novel coronavirus disease 2019(COVID-19)has a large population base of infection, and only worsening cases required hospitalization. A hospitalization risk score of COVID-19(HRS-COVID-19) to identify and treat worsening patients early thus seems crucial.Method: We conducted a multicenter nested case-control study with 200 cases enrolling confirmed symptomatic COVID-19 patients from four designated hospitals before worsened. Least Absolute Shrinkage and Selection Operator(LASSO), Directed Acyclic Graph(DAG)and Change-in-Estimate(CIE) screened out independent risk factors for HRS-COVID-19 from demographic, clinical and imaging data of the cases. The HRS-COVID-19 was evaluated by the area under curve(AUC), calibration curve, decision curve and clinical impact curve; internal validation by the bootstrap-resampling(boot=1000); and through a nomogram and a network calculator to show.Results: In the nested case cohort, 50 patients reached the compound endpoint(requiring hospitalization) and 150 patients were able to avoid hospitalization. Dyspnea, incubation period, age, lymphocyte count, C-reactive protein and semi-quantitative CT scores were included in HRS-COVID-19. The HRS-COVID-19 has good fitting(Hosmer-Lemeshow goodness,P=0.45); high discrimination(AUC 0.980,95%CI, 0.965-0.996); with excellent calibration and clinical benefits. We make a free online risk calculator (https://hospitalization-risk-score-of-covid-19.shinyapps.io/DynNomapp/).Conclusion: In the study, the HRS-COVID-19 based on the clinical characteristics at admission is helpful for early identification and active treatment of aggravated high-risk COVID-19 patients.


Sign in / Sign up

Export Citation Format

Share Document