Predictors of mortality and ITU admission for COVID-19 patients admitted to a London district general hospital: A retrospective cohort study.
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ABSTRACT:
SUBMITTER: Alhilani M
PROVIDER: S-EPMC8485626 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundIn Ethiopia, the trend of neonatal mortality showed slow pace of reduction from 2000-2016 compared to the reduction in infant and under-five mortality over the same period. This study aimed at unpacking the trends of admission, specific causes and rate of neonatal mortality as well as predictors of neonatal mortality at a general hospital in Somali region of Ethiopia.MethodsA hospital based retrospective cohort study was conducted from 25th of May 2017to 10th of June, 2017. All the new-borns admitted in the neonatal Intensive Care Unit of the hospital were reviewed over three years period (Aug2014-May2017). Data were cleaned and exported to SPSS version 20 and both descriptive and analytical analysis were executed. The level of significance was set at P<0.05. Binary logistic regression was used to produce summary of statistics including crude and adjusted odds ratio and 95% confidence intervals.ResultsThis study reviewed a total of 792 new-borns below the age of 28 days admitted in the NICU of Karamara hospital over a period of three years (August, 2014 to May, 2017). The mean birth weight was 2733 ± 740 g and neonates with normal birth weight stood at 64%. Seven hundred forty seven new-borns (94.3%) were discharged alive while 45 (5.7%) new-borns died in the course of hospitalization making a Neonatal Mortality Rate (NMR) of 5.7% (57 per 1000 live births), and 96 percent of these deaths were early neonatal deaths that occurred in the first one week of life (i.e. <7 days).After all variables which had an association with neonatal mortality (P <0.05) were entered in to a multivariate logistic model to control the effect of confounders: prematurity (AOR = 0.492(0.253, 0.957), P = 0.037) and average length of stay below two days (AOR = 0.418(0.186, 0.936), P = 0.034) were independently associated with neonatal mortality showing protective effect.ConclusionThe causes of neonatal death reported in this study are preventable, the neonatal mortality rate is high compared to the national and regional figures. Prematurity and shorter length of stay in the NICU of less than two days showed independent association with neonatal mortality. This calls for more work along the continuum of care, improving the quality of care, early transfer of sick neonates to the NICU along with scaling up establishment of the NICUs in other hospitals of the region.
| S-EPMC6138366 | biostudies-literature
Project description:BackgroundChronic liver diseases including liver cirrhosis are a major cause of morbidity and mortality globally. Despite the high burden of liver cirrhosis in Ghana, data on this disease is lacking.ObjectiveTo determine the sociodemographic characteristics, reasons for admission, and in-hospital mortality of patients with cirrhosis of the liver seen at a district hospital in Ghana.MethodsA prospective study was conducted involving one hundred and eighty-six (186) patients admitted on the medical wards in St. Dominic hospital with liver cirrhosis from 1st January 2018 to 24th June 2020. The patient's demographic and clinical features were documented using a standardized questionnaire. Diagnostic biochemical and haematological tests as well as abdominal ultrasound scans were performed for all patients. They were followed up until death or discharge from hospital.ResultsOne hundred and eighty-six patients (186) with a median age of 46 years were included in the study. HBV was the main etiology of liver cirrhosis (38.7%) followed closely by alcohol consumption (38.3%). In-hospital mortality was 41.3% and the most frequent cause of death was hepatic encephalopathy (68.4%). The following were associated with death; Jaundice, weight loss, elevated bilirubin, international normalized ratio (INR), creatinine, blood urea nitrogen(BUN), Child-Pugh score, model for end-stage liver disease sodium score (MELDNa), and low sodium. However, hepatic encephalopathy, MELDNa, INR and BUN were independent predictors of in-hospital mortality on logistic regression analysis.ConclusionsIn-hospital mortality in cirrhotic patients was high with the leading cause of death being hepatic encephalopathy. Timely diagnosis and adequate management of hepatic encephalopathy are necessary to prevent death from liver cirrhosis.
| S-EPMC8224881 | biostudies-literature
Project description:BackgroundCOVID-19 remains a major healthcare concern. Vital signs are routinely measured on admission and may provide an early, cost-effective indicator of outcome - more so in developing countries where such data is scarce. We sought to describe the association between six routinely measured admission vital signs and COVID-19 mortality, and secondarily to derive potential applications for resource-limited settings.MethodsRetrospective analysis of consecutive patients admitted to King Edward VIII Hospital, South Africa, with COVID-19 during June-September 2020 was undertaken. The sample was subdivided into survivors and non-survivors and comparisons made in terms of demographics and admission vital signs. Univariate and multivariate analysis of predictor variables identified associations with in-hospital mortality, with the resulting multivariate regression model evaluated for its predictive ability with receiver operating characteristic (ROC) curve analysis.ResultsThe 236 participants enrolled comprised 153(77.54%) survivors and 53(22.46%) non-survivors. Most participants were Black African(87.71%) and female(59.75%) with a mean age of 53.08(16.96) years. The non-survivor group demonstrated a significantly lower median/mean for admission oxygen saturation (%) [87(78-95) vs. 96(90-98)] and diastolic BP (mmHg) [70.79(14.66) vs. 76.3(12.07)], and higher median for admission respiratory rate (breaths/minute) [24(20-28) vs. 20(20-23)] and glucose (mmol/l) [10.2(6.95-16.25) vs. 7.4(5.5-9.8)]. Age, oxygen saturation, respiratory rate, glucose and diastolic BP were found to be significantly associated with mortality on univariate analysis. A log rank test revealed significantly lower survival rates in patients with an admission oxygen saturation < 90% compared with ≥90% (p = 0.001). Multivariate logistic regression revealed a significant relationship between age and oxygen saturation with in-hospital mortality (OR 1.047; 95% CI 1.016-1.080; p = 0.003 and OR 0.922; 95% CI 0.880-0.965; p = 0.001 respectively). A ROC curve analysis generated an area under the curve (AUC) of 0.778 (p < 0.001) when evaluating the predictive ability of oxygen saturation, respiratory rate, glucose and diastolic BP for in-hospital death. This improved to an AUC of 0.832 (p < 0.001) with the inclusion of age.ConclusionA multivariate regression model comprising admission oxygen saturation, respiratory rate, glucose and diastolic BP (with/without age) demonstrated promising predictive capacity, and may provide a cost-effective means for early prognostication of patients admitted with COVID-19 in resource-limited settings.
| S-EPMC9051839 | biostudies-literature
Project description:Objective Patients admitted as emergencies to hospitals at the weekend have higher death rates than patients admitted on weekdays. This may be because the restricted service availability at weekends leads to selection of patients with greater average severity of illness. We examined volumes and rates of hospital admissions and deaths across the week for patients presenting to emergency services through two routes: (a) hospital Accident and Emergency departments, which are open throughout the week; and (b) services in the community, for which availability is more restricted at weekends. Method Retrospective observational study of all 140 non-specialist acute hospital Trusts in England analyzing 12,670,788 Accident and Emergency attendances and 4,656,586 emergency admissions (940,859 direct admissions from primary care and 3,715,727 admissions through Accident and Emergency) between April 2013 and February 2014.Emergency attendances and admissions to hospital and deaths in any hospital within 30 days of attendance or admission were compared for weekdays and weekends. Results Similar numbers of patients attended Accident and Emergency on weekends and weekdays. There were similar numbers of deaths amongst patients attending Accident and Emergency on weekend days compared with weekdays (378.0 vs. 388.3). Attending Accident and Emergency at the weekend was not associated with a significantly higher probability of death (risk-adjusted OR: 1.010). Proportionately fewer patients who attended Accident and Emergency at weekend were admitted to hospital (27.5% vs. 30.0%) and it is only amongst the subset of patients attending Accident and Emergency who were selected for admission to hospital that the probability of dying was significantly higher at the weekend (risk-adjusted OR: 1.054). The average volume of direct admissions from services in the community was 61% lower on weekend days compared to weekdays (1317 vs. 3404). There were fewer deaths following direct admission on weekend days than weekdays (35.9 vs. 80.8). The mortality rate was significantly higher at weekends amongst direct admissions (risk-adjusted OR: 1.212) due to the proportionately greater reduction in admissions relative to deaths. Conclusions There are fewer deaths following hospital admission at weekends. Higher mortality rates at weekends are found only amongst the subset of patients who are admitted. The reduced availability of primary care services and the higher Accident and Emergency admission threshold at weekends mean fewer and sicker patients are admitted at weekends than during the week. Extending services in hospitals and in the community at weekends may increase the number of emergency admissions and therefore lower mortality, but may not reduce the absolute number of deaths.
| S-EPMC5482385 | biostudies-literature
Project description:BackgroundEmergency general surgery (EGS) patients have a higher mortality than those having elective surgery. Few studies have investigated changes in EGS-associated mortality over time or explored mortality rates after discharge. The aim of this study was to conduct a comprehensive, population-based analysis of mortality in EGS patients over a 20-year time frame.MethodsThis was a cross-sectional study of all adult EGS admissions in Scotland between 1996 and 2015. Data were obtained from national records. Co-morbidities were defined by Charlson Co-morbidity Index, and operations were coded by OPCS-4 classifications. Linear and multivariable logistic regression models were used to evaluate changes over time.ResultsAmong 1 450 296 patients, the overall inpatient, 30-day, 90-day and 1-year mortality rates were 1·8, 3·8, 6·4 and 12·5 per cent respectively. Mortality was influenced by age at admission, co-morbidity, operation performed and date of admission (all P < 0·001), and improved with time on subgroup analysis by age, co-morbidity and operation status. Medium-term mortality was high: the 1-year mortality rate in patients aged over 75 years was 35·6 per cent. The 1-year mortality rate in highly co-morbid patients decreased from 75·1 to 57·1 per cent over the time frame of the study (P < 0·001).ConclusionMortality after EGS in Scotland has reduced significantly over the past 20 years. This analysis of medium-term mortality after EGS admission demonstrates strikingly high rates, and postdischarge death rates are higher than is currently appreciated.
| S-EPMC6773630 | biostudies-literature
Project description:ObjectiveDespite the presence standard protocol for management of severe acute malnutrition case-fatality rates in African hospitals remain unacceptably high. The case in Ethiopia is not different from others. Therefore, this study was aimed to assess survival status and predictors of mortality among children with severe acute malnutrition admitted to stabilization centers of general hospitals in Tigray region, northern Ethiopia. A 24 months retrospective longitudinal study was conducted among 569 randomly selected medical records of children admitted to stabilizing centers. Both bi-variable and multivariable Cox regression analysis was conducted to identify predictors of mortality. Association was summarized using AHR, and statistical significances were declared at 95% CI and P-value < 0.05.ResultsDuring follow up, 456 [82%] of children had got cured, 37 [6.65%] were absconded and 21 [3.8%] were died. The overall mean survival time was 41.93 [95% CI 40.17-43.68] days. Impaired conscious level [AHR = 6.69, 95% CI 2.43-19.93], development of comorbidity after admission [AHR 12.71, 95% CI 2.79-57.94] and being urban in residence [AHR = 2.73, 95% CI 1.12-6.64] were predictors of mortality. Therefore, interventions to reduce further mortality should focus in children having impaired consciousness level and who developed comorbidity after admission.
| S-EPMC6257969 | biostudies-literature
Project description:IntroductionHead injury is the leading cause of morbidity and mortality throughout the world, especially in resource-limited countries including Ethiopia. However, little is known about the mortality rate and its predictors among these patients in Ethiopia. Thus, the study aims to assess the incidence rate of mortality and its predictors among patients with head injury admitted at Hawassa University Comprehensive Specialized Hospital.MethodsInstitutional based retrospective follow-up study was conducted among 1220 randomly selected head injury patients admitted from July 2017 to July 2019. Bivariable and multivariable Cox regression models were fitted to identify the predictors of mortality. Proportionality assumption was tested by a global test based on the Schoenfeld residuals test.ResultsThe incidence of the mortality rate was 2.26 (95%CI: 1.9-2.6) per 100-person day observation. The independent predictors of time to death were age above 65 years (AHR:3.49, 95%CI:1.63, 7.48), severe TBI (AHR: 8.8, 95%CI:5.13, 15.0), moderate TBI (AHR:3, 95%CI:1.73,5.31), hypotension (AHR:1.72, 95%CI: 1.11,2.66), hypoxia (AHR:1.92, 95%CI: 1.33,2.76), hyperthermia (AHR:1.8, 95%CI: 1.23,2.63) and hypoglycemic (AHR:1.94, 95%CI: 1.34, 2.81) positively associated with mortality, while underwent neurosurgery was negatively associated with mortality (AHR: 0.25, 95% CI: 0.11,0.53).ConclusionThe incidence of mortality rate among head injury patients was high. Older age, moderate and severe TBI, hypotension and hypoxia at admission, neurosurgical procedure, and the episode of hyperthermia and hypoglycemia during hospitalization were the independent predictors of mortality among head injury patients. Therefore, intervention to reduce earlier deaths should focus on the prevention of secondary brain insults.
| S-EPMC8376017 | biostudies-literature
Project description:COVID-19 has caused a major global pandemic and necessitated unprecedented public health restrictions in almost every country. Understanding risk factors for severe disease in hospitalised patients is critical as the pandemic progresses. This observational cohort study aimed to characterise the independent associations between the clinical outcomes of hospitalised patients and their demographics, comorbidities, blood tests and bedside observations. All patients admitted to Northwick Park Hospital, London, UK between 12 March and 15 April 2020 with COVID-19 were retrospectively identified. The primary outcome was death. Associations were explored using Cox proportional hazards modelling. The study included 981 patients. The mortality rate was 36.0%. Age (adjusted hazard ratio (aHR) 1.53), respiratory disease (aHR 1.37), immunosuppression (aHR 2.23), respiratory rate (aHR 1.28), hypoxia (aHR 1.36), Glasgow Coma Scale <15 (aHR 1.92), urea (aHR 2.67), alkaline phosphatase (aHR 2.53), C-reactive protein (aHR 1.15), lactate (aHR 2.67), platelet count (aHR 0.77) and infiltrates on chest radiograph (aHR 1.89) were all associated with mortality. These important data will aid clinical risk stratification and provide direction for further research.
| S-EPMC7591271 | biostudies-literature
Project description:PurposeTo compare sex-specific rates of hospital admission and repeat admission following self-harm between ethnic groups in London and test whether differences persist after adjustment for socio-economic deprivation.MethodsA population-based cohort of all individuals aged over 11 admitted to a general hospital for physical health treatment following self-harm between 2008 and 2018, using administrative Hospital Episode Statistics for all people living in Greater London.ResultsThere were 59,510 individuals admitted to the hospital following self-harm in the 10 year study period, ethnicity data were available for 94% of individuals. The highest rates of self-harm admission and readmission were found in the White Irish group. Rates of admission and readmission were lower in Black and Asian people compared to White people for both sexes at all ages and in all more specific Black and Asian ethnic groups compared to White British. These differences increased with adjustment for socio-economic deprivation. People of Mixed ethnicity had higher rates of readmission. Rates were highest in the 25-49 age group for Black and Mixed ethnicity men, but in under-25 s for all other groups. There were substantial differences in rates within the broader ethnic categories, especially for the Black and White groups.ConclusionIn contrast to earlier UK studies, self-harm rates were not higher in Black or South Asian women, with lower self-harm admission rates seen in almost all ethnic minority groups. Differences in rates by ethnicity were not explained by socio-economic deprivation. Aggregating ethnicity into broad categories masks important differences in self-harm rates between groups.
| S-EPMC8519852 | biostudies-literature
Project description:OBJECTIVES:To identify risk factors for inpatient mortality after patients' emergency admission and to create a novel model predicting inpatient mortality risk. DESIGN:This was a retrospective observational study using data extracted from electronic health records (EHRs). The data were randomly split into a derivation set and a validation set. The stepwise model selection was employed. We compared our model with one of the current clinical scores, Cardiac Arrest Risk Triage (CART) score. SETTING:A single tertiary hospital in Singapore. PARTICIPANTS:All adult hospitalised patients, admitted via emergency department (ED) from 1 January 2008 to 31 October 2017 (n=433 187 by admission episodes). MAIN OUTCOME MEASURE:The primary outcome of interest was inpatient mortality following this admission episode. The area under the curve (AUC) of the receiver operating characteristic curve of the predictive model with sensitivity and specificity for optimised cut-offs. RESULTS:15 758 (3.64%) of the episodes were observed inpatient mortality. 19 variables were observed as significant predictors and were included in our final regression model. Our predictive model outperformed the CART score in terms of predictive power. The AUC of CART score and our final model was 0.705 (95% CI 0.697 to 0.714) and 0.817 (95% CI 0.810 to 0.824), respectively. CONCLUSION:We developed and validated a model for inpatient mortality using EHR data collected in the ED. The performance of our model was more accurate than the CART score. Implementation of our model in the hospital can potentially predict imminent adverse events and institute appropriate clinical management.
| S-EPMC6773418 | biostudies-literature