Hospital Admission Outcomes Research Articles

Long term exposure to ambient air pollution and hospital admission burden in Scotland: 16 year prospective population cohort study

ObjectivesAir pollution is considered a major threat for global health and is associated with various health outcomes. Previous research on long term exposure to ambient air pollution and health placed...

Virtual Medicine Wards and Hospital-at-Home Programs

What Is the Issue? In 2021, the occupancy rate of acute care hospital beds in Canada was 86.7%. High occupancy rates without turnover to accommodate all hospitalization needs is an indicator of potential bed shortages and health system pressure. Patients have historically remained in hospital beds until their treatment or recovery is complete. Some patients may be well enough to continue their treatment or recovery at home sooner if provided with the right supports. What Are the Technologies? Virtual wards, also known as hospital-at-home programs, support the provision of inpatient-level acute medical care in a patient’s home. There are 2 main models of these programs: admission avoidance and supported early discharge. This report focuses on the latter type. Many of these programs are technology-enabled and incorporate remote monitoring devices to record the patient’s vital signs and tablets or web portals to facilitate data sharing. Video calls with the clinical team are also used in combination with in-person visits by health care providers. What Is the Potential Impact? Hospital beds can be freed up more quickly to provide space for newly admitted patients with more acute care needs. The safety and effectiveness of virtual ward programs have been examined in several systematic reviews in the existing clinical literature. Factors evaluated include mortality, length of stay, hospital readmissions, and costs as outcomes. Both admission avoidance and early supported discharge via hospital-at-home programs had lower or similar mortality and hospital admission outcomes as inpatient care after completion of care. Patients, caregivers, and health care providers appear to be generally satisfied with their participation in virtual ward programs. Comfort and satisfaction can be improved by allowing patients to receive treatment in a familiar and comfortable environment without compromising patient outcomes. However, increased caregiver burden, lack of sufficient training for participants and staff, and difficulties recruiting health care providers were identified as challenges associated with virtual ward programs. What Else Do We Need to Know? The level of technological support required by patients, caregivers, and staff participating in these programs should be considered when developing a program. Adequate training about how to use provided equipment and other tasks needed to manage care in the home (e.g., drug administration, symptom monitoring, communication with health care professionals) is required for patients and caregivers. There should also be provision of all necessary equipment with supports to overcome any barriers (e.g., visual impairment, physical limitations) to ensure comfort and proficiency. Care coordination and communication among the multidisciplinary care team, the patient, and their caregivers is important. Canadian cost data were not identified, but it is generally accepted that virtual ward programs are associated with reduced costs when compared with traditional in-hospital care. The inclusion of digital monitoring and record keeping technologies as part of virtual ward programs may disproportionately exclude people from some groups, including older people, people living in social housing or without housing, people with lower incomes, people who are unemployed, people living with disabilities, and people who live in rural areas without access to such programs. Key recommendations for development of virtual ward programs in Canada include using a single remote patient-monitoring platform that connects with the hospital’s electronic health record system, choosing a technology to connect patients and providers that best fits the needs of the virtual ward program, and ensuring data security, confidentiality, and data management protocols are in place.

The effectiveness of eplerenone vs spironolactone on left ventricular systolic function, hospitalization and cardiovascular death in patients with chronic heart failure - HFrEF

Abstract Background Heart failure remains one of the most prevalent clinical syndromes associated with significant morbidity and mortality. According to current guidelines MRA are recommended to reduce the risk of HF hospitalization and death in all patients with symptomatic heart failure. Purpose The aim of our study was to determine the efficacy of eplerenone vs. spironolactone on left ventricular systolic function (LVEF) in patients with chronic heart failure, especially their effect on preventing hospitalization, reducing mortality, and improving clinical status among patients with chronic HF. Methods From June 2021 to June 2022, the study was a randomized, prospective clinical trial single blind study. A total of 142 patients of chronic heart failure with reduced ejection fraction were selected by random sampling. Each patient was randomly allocated into either of the two groups and was continued receiving treatment with either spironolactone (Spiron-HF group) or eplerenone (Epler-HF group). Patients in Epler-HF group were compared with an arm of the same size. Each patient was evaluated clinically and echocardiographically at the beginning of treatment, after 6 months and at the end of 12th month. Results After 12 months of treatment, significant improvement of left ventricular ejection fraction was observed in eplerenone treated arm (37.9 ± 3.8 ± 4.6 in Spiron-HF group versus 40.1 ± 5.7 in Epler-HF group; P < 0.05). A significant reduction in left ventricular end-systolic volume (6.3 ± 2.5ml in Spiron-HF versus 17.8± 4.4ml in Epler-HF group; P < 0.05) and left ventricular systolic diameter volume (2.7 ± 0.5ml in Spiron-HF versus 6.7 ± 0.2ml in Epler-HF group; P < 0.05), occurred after 12 months of treatment. The effects of both MRA agents' spironolactone and eplerenone on the primary composite outcome, each of the individual mortality and hospital admission outcomes are shown in Figure 1 and 2. Patients of the Epler-HF group showed statistically significant lower cardiovascular mortality (HR 0.53; 95% CI 0.34–0.82; p= 0.007) and all-cause mortality (HR 0.64; 95% CI 0.44–0.93; p= 0.022) than patients of the Spiron-HF group. The statistical analysis did not show a statistically significant difference between Epler -HF and Spiron-HF study groups regarding the risk of the primary composite outcome; cardiovascular death or hospitalization due to HF (Hazard Ratio (HR) eplerenone vs. spironolactone = 0.95; 95% Confidence Interval (CI) 0.73– 1.27; p= 0.675). Conclusion Our study has demonstrated favorable effects of eplerenone on cardiac remodeling parameters and reduction of cardiovascular mortality and all-cause mortality compared with spironolactone in the treatment of HFrEF. The ability of eplerenone to effectively block the mineralocorticoid receptor while minimizing side effects and a significant reduction in the risk of hospitalization and cardiovascular death confirms its key role in the treatment of patients with chronic HFrEFCumulative estimates of cardiovascular mCumulative incidence of the primary end-

Abstract 408: Out-of-Hospital Cardiac Arrest in Children: An Epidemiological Study Based on the German Resuscitation Registry Identifying Modifiable Factors for Return of Spontaneous Circulation

Aim: This work provides an epidemiological overview of out-of-hospital cardiac arrest (OHCA) in children in Germany between 2007 and 2021. We wanted to identify modifiable factors associated with survival. Methods: Data from the German Resuscitation Registry (GRR) was used, and we included patients registered between 1 st January 2007 and 31 st December 2021. We included children aged >7 days and <18 years, where cardiopulmonary resuscitation (CPR) was started and treatment was continued by emergency medical services (EMS). Incidences and descriptive analyses are presented for the overall cohort and each age group. Multivariate binary logistic regression was performed on the whole cohort to determine the influence of (1) CPR with/without ventilation started by bystander, (2) OHCA witnessed status, and (3) nighttime on the outcome hospital admission with ROSC. Results: OHCA in children aged <1 year had the highest incidence per 100 000 inhabitants, with 23.42, accounting for 42.0% of all included cases. Overall, hypoxia was the leading presumed cause of OHCA; whereas trauma and drowning accounted for a high proportion in children aged >1 year. Bystander-witnessed OHCA and bystander CPR rate were highest in children aged 1-4 years, with 43.9% and 62.3%, respectively. In reference to EMS-started CPR, bystander CPR with ventilation were associated with an increased odds ratio for ROSC at hospital admission after adjusting for age, sex, year of OHCA and location of OHCA. Conclusion: This study provides an epidemiological overview of OHCA in children in Germany and identifies bystander CPR with ventilation as one primary factor for survival.

Out-of-hospital cardiac arrest in children: an epidemiological study based on the German Resuscitation Registry identifying modifiable factors for return of spontaneous circulation

AimThis work provides an epidemiological overview of out-of-hospital cardiac arrest (OHCA) in children in Germany between 2007 and 2021. We wanted to identify modifiable factors associated with survival.MethodsData from the German Resuscitation Registry (GRR) were used, and we included patients registered between 1st January 2007 and 31st December 2021. We included children aged between > 7 days and 17 years, where cardiopulmonary resuscitation (CPR) was started, and treatment was continued by emergency medical services (EMS). Incidences and descriptive analyses are presented for the overall cohort and each age group. Multivariate binary logistic regression was performed on the whole cohort to determine the influence of (1) CPR with/without ventilation started by bystander, (2) OHCA witnessed status and (3) night-time on the outcome hospital admission with return of spontaneous circulation (ROSC).ResultsOHCA in children aged < 1 year had the highest incidence of the same age group, with 23.42 per 100 000. Overall, hypoxia was the leading presumed cause of OHCA, whereas trauma and drowning accounted for a high proportion in children aged > 1 year. Bystander-witnessed OHCA and bystander CPR rate were highest in children aged 1–4 years, with 43.9% and 62.3%, respectively. In reference to EMS-started CPR, bystander CPR with ventilation were associated with an increased odds ratio for ROSC at hospital admission after adjusting for age, sex, year of OHCA and location of OHCA.ConclusionThis study provides an epidemiological overview of OHCA in children in Germany and identifies bystander CPR with ventilation as one primary factor for survival.Trial registrations German Clinical Trial Register: DRKS00030989, December 28th 2022.Graphical

Cross-sectional study evaluating the impact of SARS-CoV-2 variants on Long COVID outcomes in UK hospital survivors

ObjectivesCOVID-19 studies report on hospital admission outcomes across SARS-CoV-2 waves of infection but knowledge of the impact of SARS-CoV-2 variants on the development of Long COVID in hospital survivors is...

Hospital admission after primary care consultation for community-onset lower urinary tract infection: a cohort study of risks and predictors using linked data.

Urinary tract infections (UTIs) are a common indication for antibiotic prescriptions, reductions in which would reduce antimicrobial resistance (AMR). Risk stratification of patients allows reductions to be made safely. To identify risk factors for hospital admission following UTI, to inform targeted antibiotic stewardship. Retrospective cohort study of East London primary care patients. Hospital admission outcomes following primary care consultation for UTI were analysed using linked data from primary care, secondary care, and microbiology, from 1 April 2012 to 31 March 2017. The outcomes analysed were urinary infection-related hospital admission (UHA) and all-cause hospital admission (AHA) within 30 days of UTI in primary care. Odds ratios between specific variables (demographic characteristics, prior antibiotic exposure, and comorbidities) and the outcomes were predicted using generalised estimating equations, and fitted to a final multivariable model including all variables with a P-value <0.1 on univariable analysis. Of the 169 524 episodes of UTI, UHA occurred in 1336 cases (0.8%, 95% confidence interval [CI] = 0.7 to 0.8) and AHA in 6516 cases (3.8%, 95% CI = 3.8 to 3.9). On multivariable analysis, increased odds of UHA were seen in patients aged 55-74 years (adjusted odds ratio [AOR] 1.49) and ≥75 years (AOR 3.24), relative to adults aged 16-34 years. Increased odds of UHA were also associated with chronic kidney disease (CKD; AOR 1.55), urinary catheters (AOR 2.01), prior antibiotics (AOR 1.38 for ≥3 courses), recurrent UTI (AOR 1.33), faecal incontinence (FI; AOR 1.47), and diabetes mellitus (DM; AOR 1.37). Urinary infection-related hospital admission after primary care consultation for community-onset lower UTI was rare; however, increased odds for UHA were observed for some patient groups. Efforts to reduce antibiotic prescribing for suspected UTI should focus on patients aged <55 years without risk factors for complicated UTI, recurrent UTI, DM, or FI.

Acute heart failure presentation, management and outcomes in cancer patients: a national longitudinal study.

Currently, little evidence exists on survival and quality of care in cancer patients presenting with acute heart failure (HF). To investigate the presentation and outcomes of hospital admission with acute HF in a national cohort of patients with prior cancer. This retrospective, population-based cohort study, identified 221,953 patients admitted to hospital in England for HF during 2012-2018 (12,867 with a breast, prostate, colorectal or lung cancer diagnosis in the previous 10 years). We examined the impact of cancer on 1) HF presentation and in-hospital mortality, 2) place of care, 3) HF medication prescribing, and 4) post-discharge survival, using propensity score weighting and model-based adjustment. HF presentation was similar between cancer and non-cancer patients. A lower percentage of patients with prior cancer were cared for in a cardiology ward (-2.4 percentage point difference [ppd] [95% CI -3.3, -1.6]) or were prescribed ACEi/ARB for HFrEF (-2.1 ppd [-3.3, -0.9]) than non-cancer patients. Survival after HF discharge was poor with median survival of 1.6 years in prior cancer and 2.6 years in non-cancer patients. Mortality in prior cancer patients was driven primarily by non-cancer causes (68% of post-discharge deaths). Survival in prior cancer patients presenting with acute HF was poor, with a significant proportion due to non-cancer causes of death. Despite this, cardiologists were less likely to manage cancer patients with HF. Cancer patients who develop HF were less likely to be prescribed guideline-based HF medications compared with non-cancer patients. This was particularly driven by patients with a poorer cancer prognosis.

COVID-19 in-hospital mortality during the first two pandemic waves, at Helen Joseph Hospital, South Africa.

there has been significant global variation in Coronavirus Disease (COVID-19) mortality at different time points in the pandemic. Contributing factors include population demographics, comorbidities, health system capacity, prior infection with COVID-19, vaccinations, and viral variants. The study aims to describe COVID-19-related mortality of inpatients at Helen Joseph Hospital (HJH), over 12 months, during the first two waves of the COVID-19 pandemic in South Africa. The primary objectives were to describe the socio-demographic details, clinical characteristics, and hospital outcomes during the first and second waves of COVID-19. This included an assessment of the in-hospital case fatality ratio (CFR) of patients admitted with COVID-19. The secondary objectives were to compare the socio-demographic details, clinical characteristics, and outcomes between the two waves, and to determine risk factors associated with COVID-19-related mortality. this is a retrospective cohort study of all inpatient laboratory-confirmed COVID-19 cases at HJH from 1st May 2020 to 31st April 2021. Data were collected by the National Institute for Communicable Diseases (NICD). Bivariate analysis was performed to describe and compare the socio-demographic characteristics, clinical characteristics, and hospital admission outcomes between the two waves. Multivariate logistic regression was used to determine risk factors for COVID-19-related mortality. overall, 1359 patients were admitted, 595 in wave one, and 764 in wave two. Patients were predominantly male (52.4%), of Black African race (75.1%) with a mean age of 54.6 (standard deviation 15.4) years. The median length of stay was 8 days (interquartile range 5-14 days). In total, 73.2% (995) of patients required oxygen, 5.2% (71) of patients received mechanical ventilation, and 7.1% (96) were admitted to the high care and Intensive Care Unit (ICU). The most common comorbid illnesses were hypertension (36.7%, n=499), diabetes mellitus (26.6%, n=362), Human Immunodeficiency Virus (HIV) (10.8%, n=147), and obesity (11.0%, n=149). The in-hospital CFR during the first wave was 30.4% (181/595) and 25.5% (195/764) (p<0.001) in the second wave, and overall, in-hospital CFR was 27.7% (376/1359). The adjusted odds of death were 79% higher among patients admitted during wave one compared to wave two (aOR=1.79; 95% CI: 1.35-2.38). A one-year increase in age increased the odds of death by 4% (aOR=1.04; 95% CI: 1.03-1.05). The need for oxygen (aOR=2.17, 95%CI: 1.56-3.01) and ventilation (aOR=7.23, 95% CI: 4.02-13.01) were significant risk factors for mortality. prior to the availability of vaccines, COVID-19-related mortality was high and risk factors for mortality were consistent with national and international findings. This study reflects the impact of the pandemic on the South African public sector with limited resources and minimal ICU capacity.

Healthcare utilization by children with neurological impairments and disabilities in rural Kenya: a retrospective cohort study combined with secondary analysis of audit data

Background: There is a paucity of data on healthcare utilization by children with neurological impairments (NI) in sub-Saharan Africa. We determined the rate, risk factors, causes, and outcomes of hospital admission and utilization patterns for rehabilitative care among children with NI in a defined rural area in Kenya. Methods: We designed two sub-studies to address the primary objectives. Firstly, we retrospectively observed 251 children aged 6–9 years with NI and 2162 age-matched controls to determine the rate, causes and outcomes of hospitalization in a local referral hospital. The two cohorts were identified from an epidemiological survey conducted in 2015 in a defined geographical area. Secondly, we reviewed hospital records to characterize utilization patterns for rehabilitative care. Results: Thirty-four in-patient admissions occurred in 8503 person-years of observation (PYO), yielding a crude rate of 400 admissions per 100 000 PYO (95% confidence interval (Cl): 286–560). The risk of admission was similar between cases and controls (rate ratio=0.70, 95%CI: 0.10–2.30, p = 0.31). The presence of electricity in the household was associated with reduced odds of admission (odds ratio=0.32, 95% Cl: 0.10–0.90, p &lt; 0.01). Seizures and malaria were the main causes of admission. We confirmed six (0.3%) deaths during the follow-up period. Over 93% of outpatient paediatric visits for rehabilitative care were related to cerebral palsy and intellectual developmental delay. Health education (87%), rehabilitative exercises (79%) and assistive technology (64%) were the most common interventions. Conclusions: Surprisingly, the risk of hospitalization was not different between children with NI and those without, possibly because those with severe NI who died before this follow-up were under seclusion and restraint in the community. Evidence-based and tailored rehabilitative interventions are urgently required based on the existing secondary data.

0699 Predictors of Mortality in Obesity Hypoventilation Syndrome: A National Inpatient Sample Study

Abstract Introduction Obesity Hypoventilation Syndrome (OHS) has been linked to adverse cardiovascular outcomes and mortality in multiple observational studies. Few single-center observational studies have reported poor outcomes of inpatient admissions in OHS. Data regarding nationwide outcomes of hospital admissions in OHS is scarce. We conducted a retrospective study to identify predictors associated with mortality using the National Inpatient Sample (NIS) database. Methods We reviewed the NIS database to assess the outcomes of all weighted hospitalizations with an ICD 9 or ICD 10 code for OHS from 2007 to 2018. Patients with age &amp;lt;18, BMI &amp;lt;35, and ICD 9 and ICD 10 codes for neuromuscular disorders, chest wall disorders, or miscellaneous disorders of hypoventilation during the index hospitalization were excluded. The primary outcome was in-hospital mortality. We applied multivariable Cox regression modeling for the association of inpatient mortality with the diagnosis of OHS adjusted for age, sex, race, smoking history, BMI, GERD, OSA, renal failure, use of non-invasive and invasive MV, bronchoscopy, urban vs. rural hospital location, academic hospital status, COPD, asthma, acute PE, pulmonary hypertension, pneumonia and dependence on long-term oxygen or invasive or non-invasive mechanical ventilation. Hazard ratios (HR) with 95% confidence intervals (CI) were reported. Results A total of 1,115,927 hospitalizations were included in the final analysis. Increasing age, Native American race (compared to White), higher BMI, renal failure, a requirement of invasive and non-invasive mechanical ventilation, acute pulmonary embolism, ILD, and pulmonary hypertension were independently associated with increased risk of mortality during the hospitalization (p-value &amp;lt;0.05). Female sex, academic and urban hospital status, smoking, COPD, asthma, GERD, and OSA were independently associated with reduced risk for inpatient mortality (p-value &amp;lt;0.05). Black, Hispanic, Asian or Pacific Islander races (compared to White) were also associated with decreased risk of mortality (p-value &amp;lt;0.05). Home ventilator dependence, pneumonia, or oxygen dependence were not significantly associated with the risk of death. Conclusion Invasive mechanical ventilation (aHR 3.71, 95%CI 3.62-3.81) acute renal failure (aHR 1.93, 95%CI 1.87-2.00), and BMI &amp;gt; 70 (aHR 1.54, 95%CI 1.46-1.63) were the strongest predictors of inpatient mortality in our review of nationwide hospitalizations in OHS. Support (If Any)

Impact of underlying malignancy on emergency department utilization and outcomes.

PurposeCancer patients frequently utilize the emergency department (ED) for a variety of diagnoses both related to and unrelated to their cancer, yet ED outcomes for cancer patients are not well documented. This study sought to define risks and identify predictors for inpatient admission and hospital mortality among cancer patients presenting to the ED.Patients and MethodsWe utilized the National Emergency Department Sample to identify patients with and without a diagnosis of cancer presenting to the ED between January 2016 and December 2018. We used multivariable mixed‐effects logistic regression models to assess the influence of cancer on outcomes of hospital admission after the ED visit and hospital mortality for the whole patient cohort and individual presenting diagnoses.ResultsThere were 340 million weighted ED visits, of which 8.3 million (2.3%) were associated with a cancer diagnosis. Compared to non‐cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). For each of the top 15 presenting diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0–13.2) or death (OR range 2.1–14.4). Although our dataset does not contain reliable estimation of stage, cancer site was the most robust individual predictor associated with the risk of hospitalization or death compared to other clinical or system‐related factors.ConclusionsCancer patients in the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer‐specific risk stratification or focused interventions to improve outcomes.

The impact of hospital teaching status in atrial fibrillation hospital admission outcomes: a national inpatient analysis in the united states

Abstract Background Teaching hospitals are are usually larger and have a higher level of complexity. Admissions for atrial fibrillation are commonly encountered by residents and fellows and they carry a hight cost, morbidity and mortality. Purpose Our aim is to do a retrospective analysis of the National Impatient Sample (NIS) from 2016 to 2018 and determine the impact of the hospital teaching status and rural Vs urban location in the atrial fibrillation admission outcomes. Methods We combined the NIS from 2016–2018. A primary diagnosis of atrial fibrillation was identified identified. We stratified the admissions based on the hospital teaching status. We defined as primary outcomes the length of stay (LOS), in hospital mortality and total charges/cost per admission. The secondary outcomes were the rates acute kidney injury (AKI), acute blood loss anemia (ABLA) and embolic stroke (ES). We used the Charlson comorbidity index. We used univariate and multivariate linear regressions for the continuous outcomes and logistic regressions for the binary outcomes. Results We identified 981,739 admissions with a primary diagnosis of atrial fibrillation; 513,914 (47%) were female patients, the average age was 70.5 years. In the teaching hospitals, the LOS was 0.3 days longer [95% CI: 0.22–0.37]; p=0.000 and the total hospital charges were higher (8406.32 dollar more per admission [95% CI: 6510.89–10301.76]; p=0.000); there was no difference in mortality compared to the non-teaching institutions (OR 1.03 [95% CI: 0.87–1.21]; p=0.628). In teaching hospitals, the rates of AKI, ABLA and ES were higher (OR 1.2, 95% CI [1.12–1.27]; p=0.000), (OR 1.29, 95% CI [1.09–1.53]; p=0.003) and (OR 1.72, 95% CI [1.11–2.66]; p=0.014)respectively. In a subgroup analysis comparing urban teaching hospitals Vs urban non-teaching Vs rural non-teaching hospitals, we found that the primary outcomes were similar than the above but the results in the secondary outcomes were driven mainly by a marked difference between rural and urban institutions regardless of teaching status, which makes us think that there might be under diagnosis of atrial fibrillation related complications in lower complexity rural hospitals. The difference in costs per admission was not as high when comparing urban teaching with non-teaching hospitals (5103.96 dollar higher, 95% [CI: 3008.70–7199.23]; p=0.000). Conclusion Amongst admissions for atrial fibrillation, the total cost per admission was higher in teaching hospitals which was concordant with a longer LOS. Although our results show higher rates of AKI, ABLA and ES in teaching hospitals, this might be caused by underdiagnosis of such conditions in non-teaching rural institutions compared to large teaching hospital systems and these were not associated with an increase rate of mortality. There is need for more research to determine the factors impacting the higher costs of atrial fibrillation admissions amongst teaching institutions. Funding Acknowledgement Type of funding sources: None.

Neural networks and hospital length of stay: an application to support healthcare management with national benchmarks and thresholds

BackgroundThe problem of correct inpatient scheduling is extremely significant for healthcare management. Extended length of stay can have negative effects on the supply of healthcare treatments, reducing patient accessibility and creating missed opportunities to increase hospital revenues by means of other treatments and additional hospitalizations.MethodsAdopting available national reference values and focusing on a Department of Internal and Emergency Medicine located in the North-West of Italy, this work assesses prediction models of hospitalizations with length of stay longer than the selected benchmarks and thresholds. The prediction models investigated in this case study are based on Artificial Neural Networks and examine risk factors for prolonged hospitalizations in 2018. With respect current alternative approaches (e.g., logistic models), Artificial Neural Networks give the opportunity to identify whether the model will maximize specificity or sensitivity.ResultsOur sample includes administrative data extracted from the hospital database, collecting information on more than 16,000 hospitalizations between January 2018 and December 2019. Considering the overall department in 2018, 40% of the hospitalizations lasted more than the national average, and almost 3.74% were outliers (i.e., they lasted more than the threshold). According to our results, the adoption of the prediction models in 2019 could reduce the average length of stay by up to 2 days, guaranteeing more than 2000 additional hospitalizations in a year.ConclusionsThe proposed models might represent an effective tool for administrators and medical professionals to predict the outcome of hospital admission and design interventions to improve hospital efficiency and effectiveness.

Impact of socio-economic status and race on emergency hospital admission outcomes: Analysis from hospital admissions between 2001 and 2012.

Socio-economic and racial/ethnic disparities in healthcare quality have been the point of huge discussion and debate. There is currently a public debate over healthcare legislation in the United States to eliminate the disparities in healthcare. We reviewed the literature and critically examined standard socio-economic and racial/ethnic measurement approaches. As a result of the literature review, we identified and discussed the limitations in existing quality assessment for identifying and addressing these disparities. The aim of this research was to investigate the difference between health outcomes based on patients' ability to pay and ethnic status during a single emergency admission. We conducted a multifactorial analysis using the 11-year admissions data from a single hospital to test the bias in short-term health outcomes for length of stay and death rate, based on 'payment type' and 'race', for emergency hospital admissions. Inconclusive findings for racial bias in outcomes may be influenced by different insurance and demographic profiles by race. As a result, we found that the Self-Pay (no insurance) category has the shortest statistically significant length of stay. While the differences between Medicare, Private and Government are not significant, Self-Pay was significantly shorter. That 'Whites' have more Medicare (older) patients than 'Blacks' might possibly lead to a longer length of stay and higher death rate for the group.

The effect of air-pollution and weather exposure on mortality and hospital admission and implications for further research: A systematic scoping review.

Air-pollution and weather exposure beyond certain thresholds have serious effects on public health. Yet, there is lack of information on wider aspects including the role of some effect modifiers and the interaction between air-pollution and weather. This article aims at a comprehensive review and narrative summary of literature on the association of air-pollution and weather with mortality and hospital admissions; and to highlight literature gaps that require further research. We conducted a scoping literature review. The search on two databases (PubMed and Web-of-Science) from 2012 to 2020 using three conceptual categories of "environmental factors", "health outcomes", and "Geographical region" revealed a total of 951 records. The narrative synthesis included all original studies with time-series, cohort, or case cross-over design; with ambient air-pollution and/or weather exposure; and mortality and/or hospital admission outcomes. The final review included 112 articles from which 70 involved mortality, 30 hospital admission, and 12 studies included both outcomes. Air-pollution was shown to act consistently as risk factor for all-causes, cardiovascular, respiratory, cerebrovascular and cancer mortality and hospital admissions. Hot and cold temperature was a risk factor for wide range of cardiovascular, respiratory, and psychiatric illness; yet, in few studies, the increase in temperature reduced the risk of hospital admissions for pulmonary embolism, angina pectoris, chest, and ischemic heart diseases. The role of effect modification in the included studies was investigated in terms of gender, age, and season but not in terms of ethnicity. Air-pollution and weather exposure beyond certain thresholds affect human health negatively. Effect modification of important socio-demographics such as ethnicity and the interaction between air-pollution and weather is often missed in the literature. Our findings highlight the need of further research in the area of health behaviour and mortality in relation to air-pollution and weather, to guide effective environmental health precautionary measures planning.

Heart rate variability parameters among acute heart failure patients in a tertiary center in Nigeria

The morbidity and mortality associated with heart failure remain high despite advancement in its management hence underscoring the need for further detection of factors contributing to poor outcome. Heart rate variability (HRV) has been shown to predict outcomes in various cardiovascular disease and sudden cardiac death (SCD). This study therefore, was designed to define the relationship between 24-hour Holter electrocardiographic parameters at admission and the outcome of hospital admission among acute heart failure patients. The study was a hospital-based prospective cohort study. One hundred and fifty subjects with acute heart failure and same control subjects were recruited. All participants had clinical evaluation with 24 hours Holter ECG and Echocardiographic studies. Recruited subjects were closely monitored throughout the hospital admission period for clinical events. The outcomes of hospital admission were determined and documented accordingly. One hundred and forty cases and one hundred and forty controls were eventually analyzed. The mean ages of both cases and controls were similar, likewise their sex distribution and other anthropometric parameters. Heart rate variability analysis showed that proportion of R-R interval that differs by more than 50msec (pNN50) was significantly lower among in-hospital deaths compared to survivors. Also, at 30-days post discharge, both pNN50 and standard deviation of normal to normal R-R intervals (SDNN) were significantly lower among patients that died than in those that survived. There was weak positive correlation between Heart rate variability and myocardial systolic functions, while there was stronger negative correlation with diastolic functions.

Role of Inhaled Corticosteroids for Asthma Exacerbation in Children: An Updated Meta-Analysis.

Background:Several studies showed that inhaled corticosteroids (ICS) may be a potential treatment in acute asthma exacerbation in children. This study was an update meta-analysis on the roles of ICS in the management of acute asthma exacerbation in children presenting to the hospital.Materials and Methods:Published articles with key words of ICS for asthma exacerbation, asthma attacks, and acute asthma in children aged under 18 years in the hospital setting with outcome of hospital admission between 2009 and 2018 were enrolled. The databases used in this study were Medline, Scopus, and Web of Science. Odds ratio of comparison between ICS and other treatments on hospital admissions was calculated.Results:There were 311 eligible studies met the searching criteria; seven eligible studies for the analysis; comprised of three meta-analysis and four added studies. The ICS had a significant reduction in hospital admission compared with placebo in overall with odds ratio of 0.63 (95% confidence interval [CI]: 0.41–0.96) and in moderate-to-severe group with odds ratio of 0.17 (95% CI: 0.05–0.51). Comparing with systemic corticosteroid (SC), ICS had significantly lower hospital admissions overall and in mild-to-moderate group with odds ratios of 0.63 and 0.26, respectively. The combination of ICS and SC had odds ratio of 0.75 (95% CI: 0.57–0.99) over SC in moderate-to-severe asthma exacerbation.Conclusions:ICS significantly reduced hospital admission in asthma exacerbation in children. It may be used alone for mild-to-moderate asthma exacerbation and combination with SC for moderate-to-severe asthma exacerbation.

Outcomes of hospital admissions among frail older people: a 2-year cohort study.

Background‘Frailty crises’ are a common cause of hospital admission among older people and there is significant focus on admission avoidance. However, identifying frailty before a crisis occurs is challenging, making it difficult to effectively target community services. Better longer-term outcome data are needed if services are to reflect the needs of the growing population of older people with frailty.AimTo determine long-term outcomes of older people discharged from hospital following short (<72 hours) and longer hospital admissions compared by frailty status.Design and settingTwo populations aged ≥70 years discharged from hospital units: those following short ‘ambulatory’ admissions (<72 hours) and those following longer inpatient stays.MethodData for 2-year mortality and hospital use were compared using frailty measures derived from clinical and hospital data.ResultsMortality after 2 years was increased for frail compared with non-frail individuals in both cohorts. Patients in the ambulatory cohort classified as frail had increased mortality (Rockwood hazard ratio 2.3 [95% confidence interval {CI} = 1.5 to 3.4]) and hospital use (Rockwood rate ratio 2.1 [95% CI = 1.7 to 2.6]) compared with those patients classified as non-frail.ConclusionIndividuals with frailty who are discharged from hospital experience increased mortality and resource use, even after short ‘ambulatory’ admissions. This is an easily identifiable group that is at increased risk of poor outcomes. Health and social care systems might wish to examine their current care response for frail older people discharged from hospital. There may be value in a ‘secondary prevention’ approach to frailty crises targeting individuals who are discharged from hospital.

External validation of prediction models for mortality in an incident dialysis population .

Different prediction models have been established to estimate mortality in the dialysis population. This study aims to externally validate the different available mortality prediction models in an incident dialysis population. This was a retrospective cohort study of incident hemodialysis and peritoneal dialysis patients at two academic tertiary care centers. Three previously published prediction models were used: the Liu index, the Urea5 score, and a predictive model estimating the survival probability by Hemke et al. [6]. Models were compared using the C-statistic, net reclassification index, and integrated discrimination improvement. Only the subgroup of 193 patients with enough data to be included in all models was used. 377 patients were started on dialysis in both institutions between 2006 and 2011. Median follow-up was 787 days. 104 patients (27.6%) died during follow-up and 181 were admitted to the hospital (48.0%). All three models were predictive of mortality and hospital admissions. The survival probability model by Hemke et al. [6] performed better than the other two models for mortality (C-statistic 0.72). The Liu index had the highest performance for hospital admissions (C-statistic 0.65). Using reclassification statistics (reference = Urea5), the only model to improve discriminatory ability was the Liu index for the outcome of hospital admission. The survival probability model by Hemke et al. [6] may be preferred for mortality prediction in incident dialysis patients. The Liu index could be used to predict hospital admissions in the same population. Available models demonstrated only modest performance in predicting either outcome. Therefore, alternative models need to be developed. .