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Advancing critical care recovery:The pivotal role of machine learning in early detection of intensive care unit-acquired weakness
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作者 georges khattar Elie Bou Sanayeh 《World Journal of Clinical Cases》 SCIE 2024年第21期4455-4459,共5页
This editorial explores the significant challenge of intensive care unit-acquiredweakness(ICU-AW),a prevalent condition affecting critically ill patients,characterizedby profound muscle weakness and complicating patie... This editorial explores the significant challenge of intensive care unit-acquiredweakness(ICU-AW),a prevalent condition affecting critically ill patients,characterizedby profound muscle weakness and complicating patient recovery.Highlightingthe paradox of modern medical advances,it emphasizes the urgent needfor early identification and intervention to mitigate ICU-AW's impact.Innovatively,the study by Wang et al is showcased for employing a multilayer perceptronneural network model,achieving high accuracy in predicting ICU-AWrisk.This advancement underscores the potential of neural network models inenhancing patient care but also calls for continued research to address limitationsand improve model applicability.The editorial advocates for the developmentand validation of sophisticated predictive tools,aiming for personalized carestrategies to reduce ICU-AW incidence and severity,ultimately improving patientoutcomes in critical care settings. 展开更多
关键词 Critical illness myopathy Critical illness polyneuropathy Early detection Intensive care unit-acquired weakness Neural network models Patient outcomes Personalized intervention strategies Predictive modeling
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Outpatient insulin use in type 2 diabetes mellitus and acute respiratory distress syndrome outcomes:A retrospective cohort study
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作者 georges khattar Samer Asmar +15 位作者 Laurence Aoun Fares Saliba Shaza Almardini Saif Abu Baker Catherine Hong Carolla El Chamieh Fadi Haddadin Toni Habib Omar Mourad Zeina Morcos Fatema Arafa Jonathan Mina Khalil El Gharib Mohammad Aldalahmeh Salman Khan Elie Bou Sanayeh 《World Journal of Clinical Cases》 SCIE 2024年第17期2966-2975,共10页
BACKGROUND The impact of type 2 diabetes mellitus(T2DM)on acute respiratory distress syndrome(ARDS)is debatable.T2DM was suspected to reduce the risk and complications of ARDS.However,during coronavirus disease 2019(C... BACKGROUND The impact of type 2 diabetes mellitus(T2DM)on acute respiratory distress syndrome(ARDS)is debatable.T2DM was suspected to reduce the risk and complications of ARDS.However,during coronavirus disease 2019(COVID-19),T2DM predisposed patients to ARDS,especially those who were on insulin at home.AIMTo evaluate the impact of outpatient insulin use in T2DM patients on non-COVID-19 ARDS outcomes.METHODS We conducted a retrospective cohort analysis using the Nationwide Inpatient Sample database.Adult patients diagnosed with ARDS were stratified into insulin-dependent diabetes mellitus(DM)(IDDM)and non-insulindependent DM(NIDDM)groups.After applying exclusion criteria and matching over 20 variables,we compared cohorts for mortality,duration of mechanical ventilation,incidence of acute kidney injury(AKI),length of stay(LOS),hospitalization costs,and other clinical outcomes.RESULTS Following 1:1 propensity score matching,the analysis included 274 patients in each group.Notably,no statistically significant differences emerged between the IDDM and NIDDM groups in terms of mortality rates(32.8%vs 31.0%,P=0.520),median hospital LOS(10 d,P=0.537),requirement for mechanical ventilation,incidence rates of sepsis,pneumonia or AKI,median total hospitalization costs,or patient disposition upon discharge.CONCLUSION Compared to alternative anti-diabetic medications,outpatient insulin treatment does not appear to exert an independent influence on in-hospital morbidity or mortality in diabetic patients with non-COVID-19 ARDS. 展开更多
关键词 Acute respiratory distress syndrome Type 2 diabetes mellitus INSULIN Length of stay MORTALITY Endotracheal intubation Acute kidney injury Coronavirus disease 2019
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