scholarly journals Changing patterns of hospital admission for asthma, 1981–97

Thorax ◽  
2001 ◽  
Vol 56 (9) ◽  
pp. 687-690
Author(s):  
D S Morrison ◽  
P McLoone
Keyword(s):  
Hospital Admission ◽  
Hospital Admissions ◽  
Admission Rate ◽  
Hospital Admission Rate ◽  
Admission Rates ◽  
Lengths Of Stay ◽  
Icd 10 ◽  
Changing Patterns ◽  
Bed Days ◽  
Age And Sex

BACKGROUNDHospital admission rates for asthma have stopped rising in several countries. The aim of this study was to use linked hospital admission data to explore recent trends in asthma admissions in Scotland.METHODSLinked Scottish Morbidity Records (SMR1) for asthma (ICD-9 493 and ICD-10 J45–6) from 1981 to 1997 were used to describe rates of first admissions and readmissions by age and sex. As a measure of resource use, annual trends in bed days used were also explored by age and sex.RESULTSThere were 160 039 hospital admissions for asthma by 82 421 individuals in Scotland during the study period. The overall hospital admission rate increased by 122% (from 106.7 to 236.7 per 100 000 population) but this varied by sex, age, and admission type. First admissions rose by 70% from 73.2 per 100 000 in 1986 to 124.8 per 100 000 in 1997 while readmissions fell. Children (<15 years) experienced a decline in overall admissions after 1992 due to falls in both new admissions and readmissions. By 1997 the ratio of female to male admissions was 0.57 in children, but 1.50 above 14 years of age. Mean lengths of stay fell from 10.7 days to 3.7 days between 1981 and 1997 and bed days used showed little change except for a decline after 1992 in children.CONCLUSIONSAfter a period of increasing hospitalisation for asthma in Scotland, rates of admission among children have begun to fall but among adults admissions continue to rise.

Schizophrenia and Social Class

1963 ◽  
Vol 109 (463) ◽  
pp. 785-802 ◽  
Author(s):  
E. M. Goldberg ◽  
S. L. Morrison
Keyword(s):  
Hospital Admission ◽  
Mental Hospital ◽  
Ecological Study ◽  
Admission Rate ◽  
Social Classes ◽  
Class V ◽  
Hospital Admission Rate ◽  
Admission Rates ◽  
Poor Individual ◽  
The City

Since Faris and Dunham (1939) found that the mental hospital admission rate for schizophrenia was higher in the central slum districts of Chicago than in the rest of the city, many studies have been carried out on the association between low social status and hospital admission with a diagnosis of schizophrenia. With few exceptions (for example, Clausen and Kohn, 1959; Jaco, 1954) these studies have confirmed that those in the lowest social group (in this country class V in the Registrar-General's scheme) have the highest admission rates. Some of these investigations have been “ecological” or “indirect”; i.e., admission rates have been calculated for areas of a city defined, for example, as slum, working, or middle class areas, and the rates for these areas compared; other studies have been “individual” or “direct”, where admission rates have been calculated for aggregates of individuals, defined as belonging to particular social classes, and the rates for the classes compared. An ecological study, like that of Faris and Dunham, may show that rates are higher in poor districts, but it does not necessarily follow that the patients admitted are themselves poor. Individual studies, however, do show that men in unskilled jobs have the highest admission rates.

Previous Comorbidity and Lack of Patient Free Choice of Technique Predict Early Mortality in Peritoneal Dialysis

2009 ◽  
Vol 29 (2) ◽  
pp. 150-157 ◽  
Author(s):  
José Portolés ◽  
Gloria del Peso ◽  
M. José Fernández-Reyes ◽  
M. Auxiliadora Bajo ◽  
Paula López-Sánchez
Keyword(s):  
Peritoneal Dialysis ◽  
Prognostic Factors ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Risk Estimation ◽  
Admission Rate ◽  
Individual Characteristics ◽  
Hospital Admission Rate ◽  
Predialysis Patient ◽  
Choice Of Technique

Objective To study the prognostic factors for mortality and hospital admission for patients on peritoneal dialysis (PD). Method Biannual data on individual characteristics, clinical and analytical progress, treatment, and events were studied for a cohort of incident patients undergoing PD (2003-2006) in a reference area of 8.8 million people. Results 489 patients (age 53.58 years, 61.6% male) with 3-year follow-up were included. They presented at inclusion with Charlson Comorbidity Index (CCI) of 5.25; previous cardiovascular (CV) event, 23.7%; diabetes mellitus (DM), 19.1%; and hypertension (HT), 89.9%. Annual hospitalization rate per patient-year at risk was 0.6. The variables that predicted admission were CCI [odds ratio (OR) 1.14 per point], DM (OR 1.66), and previous CV event (OR 1.90). Anemia maintained significance when corrected for CCI: hemoglobin, 0.79 per 1 g/dL Hb; CCI, 1.15 per point. Annual mortality rate was 5.4%. Those that died were older (67.47 vs 52.78 years) and had a higher CCI (8.35 vs 5.0), a lower initial Hb (11.5 vs 12.2 g/dL), a higher hospital admission rate, a higher annual rate of peritonitis, more previous CV events (50.0% vs 22.1%), and higher prevalence of DM (38.5% vs 17.9%). Survival analysis identified the following prognostic factors: CCI [hazard ratio (HR) 1.51 per point], CV event (HR 2.85), DM (HR 2.52), age (HR 1.06 per year), and mandatory referral to PD (HR 6.54). The effect of CV events and DM persisted after correction for age, and that of choice of technique after correcting for CCI and/or age. Conclusions The CCI is useful for risk estimation in PD patients. Previous CV event, DM, and age are the most relevant risk factors. Control of anemia has prognostic value for hospital admissions. Mandatory referral to PD is associated with higher mortality. The prognosis in PD depends on predialysis patient management.

Future projections of child oral-related hospital admission rates in Western Australia

2016 ◽  
Vol 22 (6) ◽  
pp. 491 ◽  
Author(s):  
Alla Alsharif ◽  
Estie Kruger ◽  
Marc Tennant
Keyword(s):  
Dental Caries ◽  
Hospital Admission ◽  
Hospital Admissions ◽  
Admission Rate ◽  
Projection Data ◽  
Impacted Teeth ◽  
Admission Rates ◽  
The Future ◽  
Hospital Morbidity ◽  
Western Australian

This study aimed to project the hospital admission rates of Western Australian children for oral conditions, with a particular focus on dental caries, embedded and impacted teeth, and pulp and periapical conditions through to the year 2026. Two methods were used to generate projection data through to the year 2026, using the Western Australian Hospital Morbidity Dataset for the period 1999–2000 to 2008–2009. The projected admission rate increase in those children aged 14 years and younger from 2000 to 2026 was 43%. The admission rates are expected to more than double over time (7317 cases in 2026 compared to only 3008 cases in 2000) for those children living in metropolitan areas. Dental caries, embedded and impacted teeth, and pulp and periapical conditions will remain the top (mostly) preventable causes of admission throughout this time. Anticipating the future burden of oral-related hospital admissions in children, in terms of expected numbers of cases, is vital for optimising the resource allocation for early diagnosis, prevention and treatment. A concerted effort will be required by policymakers and oral healthcare communities to effect substantial change for the future.

scholarly journals Assessing the causal impact of adiposity variation on rates of hospital admission: Application of Mendelian randomization

2020 ◽  
Author(s):  
Audinga-Dea Hazewinkel ◽  
Padraig Dixon ◽  
Rebecca Richmond ◽  
Kaitlin H Wade
Keyword(s):  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Hospital Admissions ◽  
Mendelian Randomization ◽  
Causal Role ◽  
Hospital Admission Rate ◽  
Admission Rates ◽  
Waist Hip Ratio

Background Body mass index (BMI) and waist-hip-ratio (WHR) are measures of adiposity, the former being a good marker for overall total body fat, the latter describing regional adiposity. Higher adiposity has been associated with the increased prevalence of many chronic diseases and a positive association between BMI and increased hospital admissions has previously been established. The aim of this study was to estimate the causal relationship between BMI, WHR and WHR adjusted for BMI (WHRadjBMI) and yearly hospital admission rates. Methods and Findings Mendelian randomization (MR) approaches were used to test the causal effect of BMI, WHR and WHRadjBMI on yearly hospital admission rates. Using data on 310,471 participants of White-British ancestry from the UK Biobank, we performed one-sample and two-sample MR analyses on the exposures individually and in a multivariable setting. MR analyses supported a causal role of adiposity on hospital admissions, with consistency across one- and two-sample MR methods. Primarily, one-sample MR analyses estimated fold-increases in yearly hospital admission rates of 1.13 (95% CI: 1.02, 1.27), 1.26 (95% CI: 1.00, 1.58) and 1.22 (95% CI: 1.01, 1.47) per SD for BMI, WHR and WHRadjBMI, respectively. A multivariable approach yielded estimates of 1.04 (95% CI: 0.99, 1.03) for BMI and 1.31 (95% CI: 1.04, 1.67) for WHR, while adjusting for WHR and BMI, respectively. Conclusions The results support a causal role of higher BMI and WHR in increasing the yearly hospital admission rate. The attenuation of the BMI effect, when adjusting for WHR in the multivariable MR analyses, suggested that an adverse fat distribution, rather than a higher BMI itself, may drive the relationship between adiposity and increased risk of hospital admission. Keywords: Body mass index (BMI), waist-hip-ratio (WHR), hospital admission, Mendelian randomization

RCVS: Symptoms, Incidence, and Resource Utilization in a Population-Based US Cohort

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012223
Author(s):  
Jessica Magid-Bernstein ◽  
Setareh Salehi Omran ◽  
Neal S. Parikh ◽  
Alexander E. Merkler ◽  
Babak Navi ◽  
...  
Keyword(s):  
Hospital Admission ◽  
Administrative Data ◽  
Census Data ◽  
Hospital Admissions ◽  
Population Based ◽  
Cerebrovascular Diseases ◽  
Cerebral Vasoconstriction ◽  
Icd 10 ◽  
Incidence Of Hospitalization ◽  
Age And Sex

Objective:To estimate the incidence of hospitalization for reversible cerebral vasoconstriction syndrome (RCVS), we identified RCVS-related hospital admissions across 11 U.S. states in 2016.Methods:We tested the validity of ICD-10 code I67.841 in 79 patients with hospital admissions for RCVS or other cerebrovascular diseases at one academic and one community hospital. After determining that this code had a sensitivity of 100% (95% CI, 82-100%) and a specificity of 90% (95% CI, 79-96%), we applied it to administrative data from the Healthcare Cost and Utilization Project on all ED visits and hospital admissions. Age- and sex-standardized RCVS incidence was calculated using census data. Descriptive statistics were used to analyze associated diagnoses.Results:Across 5,067,250 hospital admissions in our administrative data, we identified 222 patients with a discharge diagnosis of RCVS in 2016. The estimated annual age- and sex-standardized incidence of RCVS hospitalization was 2.7 (95% CI, 2.4-3.1) cases per million adults. Many patients had concomitant neurologic diagnoses, including subarachnoid hemorrhage (37%), ischemic stroke (16%), and intracerebral hemorrhage (10%). In the 90 days before the index admission, 97 patients had an ED visit and 34 patients a hospital admission, most commonly for neurologic, psychiatric, and pregnancy-related diagnoses. Following discharge from the RCVS hospital admission, 58 patients had an ED visit and 31 had a hospital admission, most commonly for neurologic diagnoses.Conclusions:Using population-wide data, we estimated the age- and sex-standardized incidence of hospitalization for RCVS in U.S. adults as approximately 3 per million per year.

scholarly journals Global and Regional Burden of Hospital Admissions for Pneumonia in Older Adults: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 222 (Supplement_7) ◽  
pp. S570-S576 ◽  
Author(s):  
Ting Shi ◽  
Angeline Denouel ◽  
Anna K Tietjen ◽  
Jen Wei Lee ◽  
Ann R Falsey ◽  
...  
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Hospital Admission ◽  
Disease Burden ◽  
Hospital Admissions ◽  
Case Fatality ◽  
Admission Rate ◽  
Case Definition ◽  
Hospital Admission Rate ◽  
Hospital Deaths

AbstractPneumonia constitutes a substantial disease burden among adults overall and those who are elderly. We aimed to identify all studies investigating the disease burden among older adults (age, ≥65 years) admitted to the hospital with pneumonia. We estimated the hospital admission rate and in-hospital case-fatality ratio (CFR) of pneumonia in older adults, stratified by age and economic status (industrialized vs developing), with data from a systematic review of studies published from 1996 through 2017 and from 8 unpublished population-based studies. We applied these rate estimates to population estimates for 2015 to calculate the global and regional burden in older adults who would have been admitted to the hospital with pneumonia that year. We estimated the number of in-hospital pneumonia deaths by combining in-hospital CFRs with hospital admission estimates from hospital-based studies. We identified 109 eligible studies; 73 used clinical pneumonia as the case definition, and 36 used radiologically confirmed pneumonia as the case definition. We estimated that, in 2015, 6.8 million episodes (uncertainty range [UR], 5.8–8.0 episodes) of clinical pneumonia resulted in hospital admissions of older adults worldwide. The hospital admission rate increased with advancing age and was higher in men. The total disease burden was likely underestimated when using the definition of radiologically confirmed pneumonia. Based on data from 52 hospital studies reporting data on pneumonia mortality, we estimated that about 1.1 million in-hospital deaths (UR, 0.9–1.4 in-hospital deaths) occurred among older adults. The burden of pneumonia requiring hospitalization among older adults is substantial. Appropriate prevention and management strategies should be developed to reduce its impact.

scholarly journals Hospital admission and mortality rates for non-covid diseases in Denmark during covid-19 pandemic: nationwide population based cohort study

BMJ ◽  
2021 ◽  
pp. n1135
Author(s):  
Jacob Bodilsen ◽  
Peter Brønnum Nielsen ◽  
Mette Søgaard ◽  
Michael Dalager-Pedersen ◽  
Lasse Ole Zacho Speiser ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Hospital Admission ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Admission Rate ◽  
Mortality Rates ◽  
Baseline Period ◽  
Population Based ◽  
Hospital Admission Rate ◽  
Rate Ratios

AbstractObjectiveTo determine the incidence of hospital admissions and associated mortality rates for non-covid medical conditions during the covid-19 pandemic.DesignNationwide, population based cohort study.SettingDenmark from 13 March 2019 to 27 January 2021.ParticipantsAll Danish residents >1 year of age.Main outcomes measuresPopulation based healthcare registries that encompass the entire Danish population were used to compare hospital admission and mortality rates during the covid-19 pandemic (from 11 March 2020 to 27 January 2021) with the prepandemic baseline data (from 13 March 2019 to 10 March 2020). Hospital admissions were categorised as covid-19 when patients were assigned a diagnosis code for covid-19 within five days of admission. All patients were followed until migration, death, or end of follow-up, whichever came first. Rate ratios for hospital admissions were computed using Poisson regression and were directly standardised using the Danish population on 1 January 2019 as reference. 30 day mortality rate ratios were examined by Cox regression, adjusted for age and sex, and covid-19 diagnosis was used as a competing risk.Results5 753 179 residents were identified during 567.8 million person weeks of observation, with 1 113 705 hospital admissions among 675 447 people. Compared with the prepandemic baseline period (mean hospital admission rate 204.1 per 100 000/week), the overall hospital admission rate for non-covid-19 conditions decreased to 142.8 per 100 000/week (rate ratio 0.70, 95% confidence interval 0.66 to 0.74) after the first national lockdown, followed by a gradual return to baseline levels until the second national lockdown when it decreased to 158.3 per 100 000/week (0.78, 0.73 to 0.82). This pattern was mirrored for most major diagnosis groups except for non-covid-19 respiratory diseases, nervous system diseases, cancer, heart failure, sepsis, and non-covid-19 respiratory infections, which remained lower throughout the study period. Overall 30 day mortality rates were higher during the first national lockdown (mortality rate ratio 1.28, 95% confidence interval 1.23 to 1.32) and the second national lockdown (1.20, 1.16 to 1.24), and these results were similar across most major diagnosis groups. For non-covid-19 respiratory diseases, cancer, pneumonia, and sepsis, the 30 day mortality rate ratios were also higher between lockdown periods.ConclusionsHospital admissions for all major non-covid-19 disease groups decreased during national lockdowns compared with the prepandemic baseline period. Additionally, mortality rates were higher overall and for patients admitted to hospital with conditions such as respiratory diseases, cancer, pneumonia, and sepsis. Increased attention towards management of serious non-covid-19 medical conditions is warranted.

scholarly journals Trends of Hospital Admissions Due to Congenital Anomalies in England and Wales between 1999 and 2019: An Ecological Study

2021 ◽  
Vol 18 (22) ◽  
pp. 11808
Author(s):  
Abeer F. R. Alanazi ◽  
Abdallah Y. Naser ◽  
Prisca Pakan ◽  
Atheer F. Alanazi ◽  
Alyamama Abdulaziz A. Alanazi ◽  
...  
Keyword(s):  
Hospital Admission ◽  
Congenital Anomalies ◽  
Congenital Malformations ◽  
Ecological Study ◽  
Hospital Admissions ◽  
Chromosomal Abnormalities ◽  
Admission Rate ◽  
Trend Test ◽  
Hospital Admission Rate ◽  
England And Wales

Objectives: To investigate the trends in congenital anomalies-related hospital admissions in England and Wales. Methods: This was an ecological study that was conducted using hospital admission data taken from the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. Congenital malformations, deformations and chromosomal abnormalities hospital admissions data were extracted for the period between April 1999 and March 2019. Results: Hospital admission rate increased by 4.9% [from 198.74 (95% CI 197.53–199.94) in 1999 to 208.55 (95% CI 207.39–209.71) in 2019 per 100,000 persons, trend test, p < 0.01]. The most common hospital admissions causes were congenital malformations of the circulatory system, the musculoskeletal system, genital organs, and the digestive system. The most notable increase in hospital admissions rate was observed in congenital malformations of the respiratory system (1.01-fold). The age group below 15 years accounted for 75.1% of the total number of hospital admissions. Males contributed to 57.5% of the whole number of hospital admission. Hospital admission rate between females was increased by 6.4% [from 162.63 (95% CI 161.10–164.16) in 1999 to 173.05 (95% CI 171.57–174.54) in 2019 per 100,000 persons]. Hospital admission rate between males was increased by 3.4% [from 236.61 (95% CI 234.72–238.50) in 1999 to 244.70 (95% CI 242.92–246.49) in 2019 per 100,000 persons]. Conclusions: Males had a higher percentage of hospitalisation compared to females. Further studies to investigate the factors associated with higher hospitalisation rate among males are needed.

scholarly journals Hospital Admission Trends due to Viral Infections Characterised by Skin and Mucous Membrane Lesions in the Past Two Decades in England and Wales: An Ecological Study

2021 ◽  
Vol 18 (21) ◽  
pp. 11649 ◽  
Author(s):  
Abdallah Y. Naser ◽  
Hamzeh Mohammad Alrawashdeh ◽  
Hassan Alwafi ◽  
Amal Khaleel AbuAlhommos ◽  
Zahraa Jalal ◽  
...  
Keyword(s):  
Hospital Admission ◽  
Mucous Membrane ◽  
Ecological Study ◽  
Hospital Admissions ◽  
Viral Infections ◽  
Admission Rate ◽  
Risk Groups ◽  
Trend Test ◽  
Hospital Admission Rate ◽  
England And Wales

Objectives: This study aimed to investigate the trends in hospital admissions due to viral infections characterized by skin and mucous membrane lesions in England and Wales between 1999 and 2019. Methods: This is an ecological study using publicly available databases in England and Wales; the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. Hospital admissions data were collected for the period between April 1999 and March 2019. Hospital admissions due to viral infections characterized by skin and mucous membrane lesions were identified using the tenth version of the International Statistical Classification of Diseases system, diagnostic codes B00–B09. The trend in hospital admissions was assessed using a Poisson model. Results: Hospital admissions for different causes increased by 51.9% (from 25.67 (95% CI 25.23–26.10) in 1999 to 38.98 (95% CI 38.48–39.48) in 2019 per 100,000 persons, trend test, p < 0.01). The most prevalent viral infections characterized by skin and mucous membrane lesions hospital admissions causes were zoster (herpes zoster), varicella (chickenpox), herpesviral (herpes simplex) infections, and viral warts, which accounted for 26.9%, 23.4%, 18.7%, and 17.6%, respectively. The age group below 15 years accounted for 43.2% of the total number of admissions. Females contributed to 50.5% of the total number of admissions. Hospital admission rate in males increased by 61.1% (from 25.21 (95% CI 24.59–25.82) in 1999 to 40.60 (95% CI 39.87–41.32) in 2019 per 100,000 persons). The increase in females was 43.2% (from 26.11 (95% CI 25.49–26.72) in 1999 to 37.40 (95% CI 36.70–38.09) in 2019 per 100,000 persons). Conclusion: Our study demonstrates an evident variation in hospital admission of viral infections characterized by skin and mucous membrane lesions based on age and gender. Efforts should be directed towards vaccinating high-risk groups, particularly the elderly and females. Moreover, efforts should be focused on vaccinating the young population against varicella, particularly females who are more susceptible to acquiring the infection. Further observational and epidemiological studies are needed to identify other factors associated with increased hospital admission rates.

scholarly journals The bimodal rise and fall acute coronary syndromes curves paralleling COVID-19 outbreaks

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
D Trabattoni ◽  
G Teruzzi ◽  
P M Ravagnani ◽  
G Santagostino Baldi ◽  
P Montorsi ◽  
...  
Keyword(s):  
Cardiogenic Shock ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Acute Coronary Syndromes ◽  
Hospital Admissions ◽  
Admission Rate ◽  
Nasopharyngeal Swab ◽  
Admission Rates ◽  
Coronary Syndromes ◽  
The Impact

Abstract Introduction Preliminary reports from the early phase of COVID-19 epidemic in Italy reported a dramatic reduction in hospital admission rates for acute coronary syndromes (ACS) coupled with longer times from symptoms onset to hospital presentation. Purpose To assess the impact of COVID-19 on hospital admission rates and ACS patterns, as well as time to presentation and clinical outcomes, following the acute pandemic phase in 2020 compared to previous year. Methods We conducted a single institution retrospective analysis conducted in a cardiovascular hub serving a large metropolitan area in Italy. Number and monthly distribution of hospital admissions for ACS from January 1 to December 31, 2020 were compared to the respective figures in 2019. Baseline clinical features, time from symptoms onset to hospital admission and main clinical outcomes were collected. Results A total of 599 ACS cases were recorded in 2020 vs. 386 cases in 2019, with a net 55% increase. ACS presentation rate in 2020 showed a bimodal pattern, paralleling the most contagious outbreak periods (Figure 1). SARS-CoB-2 nasopharyngeal swab or specific antibody tests were positive in 34 (5.7%) patients. Time from symptoms onset to hospital presentation tended to be longer in 2020 than in 2019, being two-fold longer during the peak epidemic phase (February 21-May 3, 2020; median time 2.0 vs. 5.0 hours, p=0.030). The proportion of late-presenting STEMI (&gt;8 hrs from symptoms onset) was higher in 2020 compared to 2019 (30% vs. 18%, p=0.003),as well as higher was in-hospital mortality (15% in 2020 vs 6% in 2019, p=0.001), partly due to a three-fold increase in cardiogenic shock on ACS presentation. Conclusions ACS admission rate significantly increased during the 2020 COVID-19 epidemic outbreak for several reasons only partially explained by a SARS-CoV-2 infection trigger effect on ACS. Longer presentation times and higher rates of cardiogenic shock and mortality were observed, urging the need health-care systems to keep a high priority on cardiovascular emergencies response networks. FUNDunding Acknowledgement Type of funding sources: None. Figure 1

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