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1.
Cureus ; 13(7): e16577, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1332371

ABSTRACT

BACKGROUND:  The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains today a global health pandemic. Those with severe infection are at risk of rapid clinical deterioration; as a result, intensive care unit (ICU) admission is not uncommon in such patients. A number of determinants have been identified as predictors of poor prognosis and in-hospital mortality, ranging from demographic characteristics, laboratory and/or radiological findings. AIM: To identify determinants of in-hospital mortality and examine the accuracy of seven early warning scores in predicting in-hospital mortality. METHODS: This is a retrospective study conducted in Kuwait from July 2020 to March 2021, and participants were adult patients with a positive test on the real-time polymerase chain reaction (RT-PCR) for SARS-CoV-2 and who met the criteria for ICU admission. Data collected included: demographics, clinical status on hospital arrival, laboratory test results, and ICU course. Furthermore, we calculated seven early warning scores for each of our patients. RESULTS: A total of 133 patients were admitted to our COVID-19 ICU with a median age of 59 years. Arrival to ICU on mechanical ventilation (MV), developing in-hospital complications, having chronic kidney disease (CKD), having a high white blood count (WBC), lactate dehydrogenase (LDH), lactate, or urea levels were found to be significant predictors of in-hospital mortality. Furthermore, the 4C mortality score for COVID-19, VACO index for COVID-19 mortality, and the PRIEST COVID-19 clinical severity score proved to be the most superior in predicting in-hospital mortality. CONCLUSION: Identifying high-risk patients and those with a poor prognosis allows for efficient triaging and the delivery of high-standard care while minimizing the strain on the healthcare system.

2.
Infect Prev Pract ; 3(2): 100137, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1157430

ABSTRACT

BACKGROUND: Healthcare workers (HCW) were amongst the front-liners in the mission to tackle the COVID-19 pandemic and thus bore a huge risk of infection. Therefore, personal protective equipment (PPE) is of vital importance. There are several methods described in the literature to increase compliance with PPE use and reduce occupational infections. One of those methods is the institution of PPE inspectors that ensure proper adherence to PPE protocols and ultimately improve the outcomes of many HCWs. METHODS: A team of PPE inspectors was introduced in a tertiary care university hospital, where they randomly evaluated and reinforced PPE use in accordance with the guidelines set by the local health authority. The study period was from the 10th of May 2020 until the 31st of August 2020. The evaluations were divided into three categories; appropriate, missing, or unnecessary use of PPE and were compared to trends in healthcare workers' COVID-19 infection rates. RESULTS: A total of 720 HCWs were evaluated from the 10th of May 2020 until the 31st of August 2020. The appropriate use of PPE increased from 56% to 89% during the study period. Meanwhile, the incidence of COVID-19 infection among HCWs, which has peaked to 31 cases per day on the 18th of May 2020, has been declining to below 5 cases per day towards the end of the study period. CONCLUSION: PPE inspectors' team served a positive role in increasing compliance with PPE use and was associated with a reduction in the transmission of SARS-Cov-2 among HCWs.

3.
BMJ Open Gastroenterol ; 8(1)2021 03.
Article in English | MEDLINE | ID: covidwho-1119308

ABSTRACT

BACKGROUND AND AIMS: Patients infected with the SARS-CoV-2 usually report fever and respiratory symptoms. However, multiple gastrointestinal (GI) manifestations such as diarrhoea and abdominal pain have been described. The aim of this study was to evaluate the prevalence of GI symptoms, elevated liver enzymes and mortality of patients with COVID-19. METHODS: A systematic review and meta-analysis of published studies that included a cohort of patients infected with SARS-CoV-2 were performed from 1 December 2019 to 15 December 2020. Data were collected by conducting a literature search using PubMed, Embase, Scopus, and Cochrane according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We analysed pooled data on the prevalence of individual GI symptoms and elevated liver enzymes and performed subanalyses to investigate the relationship between GI symptoms/elevated liver enzymes, geographical location, mortality, and intensive care unit (ICU) admission. RESULTS: The available data of 78 798 patients positive for SARS-CoV-2 from 158 studies were included in our analysis. The most frequent manifestations were diarrhoea (16.5%, 95% CI 14.2% to 18.4%), nausea (9.7%, 95% CI 9.0% to 13.2%) and elevated liver enzymes (5.6%, 95% CI 4.2% to 9.1%). The overall mortality and GI mortality were 23.5% (95% CI 21.2% to 26.1%) and 3.5% (95% CI 3.1% to 6.2%), respectively. Subgroup analysis showed non-statistically significant associations between GI symptoms/elevated liver enzymes and ICU admissions (OR=1.01, 95% CI 0.55 to 1.83). The GI mortality was 0.9% (95% CI 0.5% to 2.2%) in China and 10.8% (95% CI 7.8% to 11.3%) in the USA. CONCLUSION: GI symptoms/elevated liver enzymes are common in patients with COVID-19. Our subanalyses showed that the presence of GI symptoms/elevated liver enzymes does not appear to affect mortality or ICU admission rate. Furthermore, the proportion of GI mortality among patients infected with SARS-CoV-2 varied based on geographical location.


Subject(s)
COVID-19/complications , Gastrointestinal Diseases/epidemiology , Gastrointestinal Diseases/virology , Liver Diseases/epidemiology , Liver Diseases/virology , COVID-19/mortality , Critical Care/statistics & numerical data , Gastrointestinal Diseases/mortality , Hospitalization/statistics & numerical data , Humans , Liver/enzymology , Liver Diseases/mortality , Pandemics , Prevalence , SARS-CoV-2 , Severity of Illness Index
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