BACKGROUND The coronavirus disease 2019(COVID-19)course may be affected by environmental factors.Ecological studies previously suggested a link between climatological factors and COVID-19 fatality rates.However,indivi...BACKGROUND The coronavirus disease 2019(COVID-19)course may be affected by environmental factors.Ecological studies previously suggested a link between climatological factors and COVID-19 fatality rates.However,individual-level impact of these factors has not been thoroughly evaluated yet.AIM To study the association of climatological factors related to patient location with unfavorable outcomes in patients.METHODS In this observational analysis of the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study:COVID-19 Registry cohort,the latitudes and altitudes of hospitals were examined as a covariate for mortality within 28 d of admission and the length of hospital stay.Adjusting for baseline parameters and admission date,multivariable regression modeling was utilized.Generalized estimating equations were used to fit the models.RESULTS Twenty-two thousand one hundred eight patients from over 20 countries were evaluated.The median age was 62(interquartile range:49-74)years,and 54%of the included patients were males.The median age increased with increasing latitude as well as the frequency of comorbidities.Contrarily,the percentage of comorbidities was lower in elevated altitudes.Mortality within 28 d of hospital admission was found to be 25%.The median hospital-free days among all included patients was 20 d.Despite the significant linear relationship between mortality and hospital-free days(adjusted odds ratio(aOR)=1.39(1.04,1.86),P=0.025 for mortality within 28 d of admission;aOR=-1.47(-2.60,-0.33),P=0.011 for hospital-free days),suggesting that adverse patient outcomes were more common in locations further away from the Equator;the results were no longer significant when adjusted for baseline differences(aOR=1.32(1.00,1.74),P=0.051 for 28-day mortality;aOR=-1.07(-2.13,-0.01),P=0.050 for hospital-free days).When we looked at the altitude’s effect,we discovered that it demonstrated a non-linear association with mortality within 28 d of hospital admission(aOR=0.96(0.62,1.47),1.04(0.92,1.19),0.49(0.22,0.90),and 0.51(0.27,0.98),for the altitude points of 75 MASL,125 MASL,400 MASL,and 600 MASL,in comparison to the reference altitude of 148 m.a.s.l,respectively.P=0.001).We detected an association between latitude and 28-day mortality as well as hospital-free days in this worldwide study.When the baseline features were taken into account,however,this did not stay significant.CONCLUSION Our findings suggest that differences observed in previous epidemiological studies may be due to ecological fallacy rather than implying a causal relationship at the patient level.展开更多
BACKGROUND There is variability in intensive care unit(ICU)resources and staffing worldwide.This may reflect variation in practice and outcomes across all health systems.AIM To improve research and quality improvement...BACKGROUND There is variability in intensive care unit(ICU)resources and staffing worldwide.This may reflect variation in practice and outcomes across all health systems.AIM To improve research and quality improvement measures administrative leaders can create long-term strategies by understanding the nature of ICU practices on a global scale.METHODS The Global ICU Needs Assessment Research Group was formed on the basis of diversified skill sets.We aimed to survey sites regarding ICU type,availability of staffing,and adherence to critical care protocols.An international survey‘Global ICU Needs Assessment’was created using Google Forms,and this was distributed from February 17^(th),2020 till September 23^(rd),2020.The survey was shared with ICU providers in 34 countries.Various approaches to motivating healthcare providers were implemented in securing submissions,including use of emails,phone calls,social media applications,and WhatsApp^(TM).By completing this survey,providers gave their consent for research purposes.This study was deemed eligible for category-2 Institutional Review Board exempt status.RESULTS There were a total 121 adult/adult-pediatrics ICU responses from 34 countries in 76 cities.A majority of the ICUs were mixed medical-surgical[92(76%)].108(89%)were adult-only ICUs.Total 36 respondents(29.8%)were 31-40 years of age,with 79(65%)male and 41(35%)female participants.89 were consultants(74%).A total of 71(59%)respondents reported having a 24-h inhouse intensivist.A total of 87(72%)ICUs were reported to have either a 2:1 or≥2:1 patient/nurse ratio.About 44%of the ICUs were open and 76%were mixed type(medical-surgical).Protocols followed regularly by the ICUs included sepsis care(82%),ventilator-associated pneumonia(79%);nutrition(76%),deep vein thrombosis prophylaxis(84%),stress ulcer prophylaxis(84%),and glycemic control(89%).CONCLUSION Based on the findings of this international,multi-dimensional,needs-assessment survey,there is a need for increased recruitment and staffing in critical care facilities,along with improved patientto-nurse ratios.Future research is warranted in this field with focus on implementing appropriate health standards,protocols and resources for optimal efficiency in critical care worldwide.展开更多
文摘BACKGROUND The coronavirus disease 2019(COVID-19)course may be affected by environmental factors.Ecological studies previously suggested a link between climatological factors and COVID-19 fatality rates.However,individual-level impact of these factors has not been thoroughly evaluated yet.AIM To study the association of climatological factors related to patient location with unfavorable outcomes in patients.METHODS In this observational analysis of the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study:COVID-19 Registry cohort,the latitudes and altitudes of hospitals were examined as a covariate for mortality within 28 d of admission and the length of hospital stay.Adjusting for baseline parameters and admission date,multivariable regression modeling was utilized.Generalized estimating equations were used to fit the models.RESULTS Twenty-two thousand one hundred eight patients from over 20 countries were evaluated.The median age was 62(interquartile range:49-74)years,and 54%of the included patients were males.The median age increased with increasing latitude as well as the frequency of comorbidities.Contrarily,the percentage of comorbidities was lower in elevated altitudes.Mortality within 28 d of hospital admission was found to be 25%.The median hospital-free days among all included patients was 20 d.Despite the significant linear relationship between mortality and hospital-free days(adjusted odds ratio(aOR)=1.39(1.04,1.86),P=0.025 for mortality within 28 d of admission;aOR=-1.47(-2.60,-0.33),P=0.011 for hospital-free days),suggesting that adverse patient outcomes were more common in locations further away from the Equator;the results were no longer significant when adjusted for baseline differences(aOR=1.32(1.00,1.74),P=0.051 for 28-day mortality;aOR=-1.07(-2.13,-0.01),P=0.050 for hospital-free days).When we looked at the altitude’s effect,we discovered that it demonstrated a non-linear association with mortality within 28 d of hospital admission(aOR=0.96(0.62,1.47),1.04(0.92,1.19),0.49(0.22,0.90),and 0.51(0.27,0.98),for the altitude points of 75 MASL,125 MASL,400 MASL,and 600 MASL,in comparison to the reference altitude of 148 m.a.s.l,respectively.P=0.001).We detected an association between latitude and 28-day mortality as well as hospital-free days in this worldwide study.When the baseline features were taken into account,however,this did not stay significant.CONCLUSION Our findings suggest that differences observed in previous epidemiological studies may be due to ecological fallacy rather than implying a causal relationship at the patient level.
文摘BACKGROUND There is variability in intensive care unit(ICU)resources and staffing worldwide.This may reflect variation in practice and outcomes across all health systems.AIM To improve research and quality improvement measures administrative leaders can create long-term strategies by understanding the nature of ICU practices on a global scale.METHODS The Global ICU Needs Assessment Research Group was formed on the basis of diversified skill sets.We aimed to survey sites regarding ICU type,availability of staffing,and adherence to critical care protocols.An international survey‘Global ICU Needs Assessment’was created using Google Forms,and this was distributed from February 17^(th),2020 till September 23^(rd),2020.The survey was shared with ICU providers in 34 countries.Various approaches to motivating healthcare providers were implemented in securing submissions,including use of emails,phone calls,social media applications,and WhatsApp^(TM).By completing this survey,providers gave their consent for research purposes.This study was deemed eligible for category-2 Institutional Review Board exempt status.RESULTS There were a total 121 adult/adult-pediatrics ICU responses from 34 countries in 76 cities.A majority of the ICUs were mixed medical-surgical[92(76%)].108(89%)were adult-only ICUs.Total 36 respondents(29.8%)were 31-40 years of age,with 79(65%)male and 41(35%)female participants.89 were consultants(74%).A total of 71(59%)respondents reported having a 24-h inhouse intensivist.A total of 87(72%)ICUs were reported to have either a 2:1 or≥2:1 patient/nurse ratio.About 44%of the ICUs were open and 76%were mixed type(medical-surgical).Protocols followed regularly by the ICUs included sepsis care(82%),ventilator-associated pneumonia(79%);nutrition(76%),deep vein thrombosis prophylaxis(84%),stress ulcer prophylaxis(84%),and glycemic control(89%).CONCLUSION Based on the findings of this international,multi-dimensional,needs-assessment survey,there is a need for increased recruitment and staffing in critical care facilities,along with improved patientto-nurse ratios.Future research is warranted in this field with focus on implementing appropriate health standards,protocols and resources for optimal efficiency in critical care worldwide.