PubMed COVID-19 Clinical Care

CONCLUSIONS: During the COVID-19 pandemic the sickest cohort of patients was those receiving an explicit ICD-10 code of sepsis + a COVID-19 diagnosis. A significant percentage of COVID-19 diagnosis-only patients appear to have been under-coded as

CONCLUSIONS: During the COVID-19 pandemic the sickest cohort of patients was those receiving an explicit ICD-10 code of sepsis + a COVID-19 diagnosis. A significant percentage of COVID-19 diagnosis-only patients appear to have been under-coded as

CONCLUSIONS: During the COVID-19 pandemic the sickest cohort of patients was those receiving an explicit ICD-10 code of sepsis + a COVID-19 diagnosis. A significant percentage of COVID-19 diagnosis-only patients appear to have been under-coded as

CONCLUSIONS: During the COVID-19 pandemic the sickest cohort of patients was those receiving an explicit ICD-10 code of sepsis + a COVID-19 diagnosis. A significant percentage of COVID-19 diagnosis-only patients appear to have been under-coded as

INTRODUCTION: In high mortality settings, prophylactic azithromycin has been shown to improve birth weight and gestational age at birth when administered antenatally, to reduce the incidence of neonatal infections when administered intrapartum, and

CONCLUSION: Highly activated and cytotoxic CD4^(+) T-cell responses may contribute to cell-mediated host tissue damage and progression of COVID-19. Induction of these potentially detrimental T-cell responses should be considered when developing and

Background Post-acute COVID-19 syndrome (PACS) is a syndrome characterized by a wide spectrum of symptoms emerging after clearance of coronavirus 2019 (COVID-19) infection. These symptoms include fatigue, myalgia, arthralgia, cognitive dysfunction

CONCLUSIONS: During the COVID-19 pandemic the sickest cohort of patients was those receiving an explicit ICD-10 code of sepsis + a COVID-19 diagnosis. A significant percentage of COVID-19 diagnosis-only patients appear to have been under-coded as

In a recent article, Shepherd and Rippon (2022) investigated the impact of widespread face mask use on emotion recognition. They found that mask-wearing led to reduced accuracy in identifying emotions such as fear, sadness, and disgust when

CONCLUSIONS: During the COVID-19 pandemic the sickest cohort of patients was those receiving an explicit ICD-10 code of sepsis + a COVID-19 diagnosis. A significant percentage of COVID-19 diagnosis-only patients appear to have been under-coded as