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  1. Soyiri IN, Reidpath DD, Sarran C
    Chron Respir Dis, 2013 May;10(2):85-94.
    PMID: 23620439 DOI: 10.1177/1479972313482847
    Health forecasting can improve health service provision and individual patient outcomes. Environmental factors are known to impact chronic respiratory conditions such as asthma, but little is known about the extent to which these factors can be used for forecasting. Using weather, air quality and hospital asthma admissions, in London (2005-2006), two related negative binomial models were developed and compared with a naive seasonal model. In the first approach, predictive forecasting models were fitted with 7-day averages of each potential predictor, and then a subsequent multivariable model is constructed. In the second strategy, an exhaustive search of the best fitting models between possible combinations of lags (0-14 days) of all the environmental effects on asthma admission was conducted. Three models were considered: a base model (seasonal effects), contrasted with a 7-day average model and a selected lags model (weather and air quality effects). Season is the best predictor of asthma admissions. The 7-day average and seasonal models were trivial to implement. The selected lags model was computationally intensive, but of no real value over much more easily implemented models. Seasonal factors can predict daily hospital asthma admissions in London, and there is a little evidence that additional weather and air quality information would add to forecast accuracy.
    Matched MeSH terms: Hospitalization/trends*
  2. Ng TP, Niti M
    Heart, 2003 Aug;89(8):865-70.
    PMID: 12860859
    To describe trends in hospital admissions and mortality from congestive heart failure in the elderly population aged 65 years and over in Singapore, 1991 to 1998.
    Matched MeSH terms: Hospitalization/trends*
  3. Yong EL, Ganesan G, Kramer MS, Logan S, Lau TC, Cauley JA, et al.
    Osteoporos Int, 2019 Apr;30(4):879-886.
    PMID: 30671610 DOI: 10.1007/s00198-019-04839-5
    Despite an increase in absolute numbers, the age-standardized incidence of hip fractures in Singapore declined in the period 2000 to 2017. Among the three major ethnic groups, Chinese women had the highest fracture rates but were the only group to show a temporal decline.

    INTRODUCTION: A study published in 2001 predicted a 30-50% increase in Singapore hip fracture incidence rates over the ensuing 30 years. To test that prediction, we examined the incidence of hip fracture in Singapore from 2000 to 2017.

    METHODS: We carried out a population-based study of hip fractures among Singapore residents aged ≥ 50 years. National medical insurance claims data were used to identify admissions with a primary discharge diagnosis of hip fracture. Age-adjusted rates, based on the age distribution of the Singapore population of 2000, were analyzed separately by sex and ethnicity (Chinese, Malay, or Indian).

    RESULTS: Over the 18-year study period, 36,082 first hip fractures were recorded. Total hip fracture admissions increased from 1487 to 2729 fractures/year in the years 2000 to 2017. Despite this absolute increase, age-adjusted fracture rates declined, with an average annual change of - 4.3 (95% CI - 5.0, - 3.5) and - 1.1 (95% CI - 1.7, - 0.5) fractures/100,000/year for women and men respectively. Chinese women had 1.4- and 1.9-fold higher age-adjusted rates than Malay and Indian women: 264 (95% CI 260, 267) versus 185 (95% CI 176, 193) and 141 (95% CI 132, 150) fractures/100,000/year, respectively. Despite their higher fracture rates, Chinese women were the only ethnic group exhibiting a decline, most evident in those ≥ 85 years, in age-adjusted fracture rate of - 5.3 (95% CI - 6.0, - 4.5) fractures/100,000/year.

    CONCLUSION: Although the absolute number of fractures increased, steep drops in elderly Chinese women drove a reduction in overall age-adjusted hip fracture rates. Increases in the older population will lead to a rise in total number of hip fractures, requiring budgetary planning and new preventive strategies.

    Matched MeSH terms: Hospitalization/trends
  4. Lu HT, Nordin RB
    BMC Cardiovasc Disord, 2013 Nov 06;13:97.
    PMID: 24195639 DOI: 10.1186/1471-2261-13-97
    BACKGROUND: The National Cardiovascular Disease (NCVD) Database Registry represents one of the first prospective, multi-center registries to treat and prevent coronary artery disease (CAD) in Malaysia. Since ethnicity is an important consideration in the occurrence of acute coronary syndrome (ACS) globally, therefore, we aimed to identify the role of ethnicity in the occurrence of ACS among high-risk groups in the Malaysian population.

    METHODS: The NCVD involves more than 15 Ministry of Health (MOH) hospitals nationwide, universities and the National Heart Institute and enrolls patients presenting with ACS [ST-elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI) and unstable angina (UA)]. We analyzed ethnic differences across socio-demographic characteristics, hospital medications and invasive therapeutic procedures, treatment of STEMI and in-hospital clinical outcomes.

    RESULTS: We enrolled 13,591 patients. The distribution of the NCVD population was as follows: 49.0% Malays, 22.5% Chinese, 23.1% Indians and 5.3% Others (representing other indigenous groups and non-Malaysian nationals). The mean age (SD) of ACS patients at presentation was 59.1 (12.0) years. More than 70% were males. A higher proportion of patients within each ethnic group had more than two coronary risk factors. Malays had higher body mass index (BMI). Chinese had highest rate of hypertension and hyperlipidemia. Indians had higher rate of diabetes mellitus (DM) and family history of premature CAD. Overall, more patients had STEMI than NSTEMI or UA among all ethnic groups. The use of aspirin was more than 94% among all ethnic groups. Utilization rates for elective and emergency percutaneous coronary intervention (PCI) and coronary artery bypass graft (CABG) were low among all ethnic groups. In STEMI, fibrinolysis (streptokinase) appeared to be the dominant treatment options (>70%) for all ethnic groups. In-hospital mortality rates for STEMI across ethnicity ranges from 8.1% to 10.1% (p = 0.35). Among NSTEMI/UA patients, the rate of in-hospital mortality ranges from 3.7% to 6.5% and Malays recorded the highest in-hospital mortality rate compared to other ethnic groups (p = 0.000). In binary multiple logistic regression analysis, differences across ethnicity in the age and sex-adjusted ORs for in-hospital mortality among STEMI patients was not significant; for NSTEMI/UA patients, Chinese [OR 0.71 (95% CI 0.55, 0.91)] and Indians [OR 0.57 (95% CI 0.43, 0.76)] showed significantly lower risk of in-hospital mortality compared to Malays (reference group).

    CONCLUSIONS: Risk factor profiles and ACS stratum were significantly different across ethnicity. Despite disparities in risk factors, clinical presentation, medical treatment and invasive management, ethnic differences in the risk of in-hospital mortality was not significant among STEMI patients. However, Chinese and Indians showed significantly lower risk of in-hospital mortality compared to Malays among NSTEMI and UA patients.

    Matched MeSH terms: Hospitalization/trends*
  5. Al Aqqad SMH, Tangiisuran B, Hyder Ali IA, Md Kassim RMN, Wong JL, Tengku Saifudin TI
    Clin Respir J, 2017 Nov;11(6):960-967.
    PMID: 26763195 DOI: 10.1111/crj.12448
    INTRODUCTION: The elderly, with chronic obstructive pulmonary disease (COPD), are at a higher risk of hospitalisation due to acute exacerbation of COPD (AECOPD). They also often encounter multiple co-morbidities.

    OBJECTIVES: This study was aimed to explore the occurrence of anxiety, depression and to identify the factors associated with hospital readmission among older patients after AECOPD discharge.

    METHODS: A multicentre prospective study was conducted in Malaysia (from 1st September 2012 till 31st September 2013) among older patients (≥60 years) hospitalised for AECOPD. Anxiety and depression were assessed on discharge using previously validated questionnaires, Generalized Anxiety Disorder-7 (GAD-7 and Geriatric Depression Scale (GDS-15), respectively. Patients were followed up for a period of 3 months after discharge.

    RESULTS: A total of 81 patients with a median age of 72 years (IQR 66.40-78.00) were recruited. Anxiety was observed in 34.57% while 38.27% had depression. Both anxiety and depression were detected in 25.93% of the patients. A history of frequent AECOPD admissions was found to be associated with developing depressive symptoms, while anxiety scores were associated with severe dyspnoea. Severe depression was more commonly identified among patients aged 60-75 and in those with a history of tuberculosis. A high readmission rate (40.74%) during the 3-month period was noticed. History of frequent AECOPD admissions (OR = 2.87; 95% CI 1.05-7.85, P = 0.040) and ischemic heart disease (IHD) (OR = 4.04; 95% CI 1.1-14.6, P = 0.032) were identified as the factors associated with the risk of hospital readmission.

    CONCLUSIONS: Anxiety and depression were found to be relatively common among older patients with AECOPD. IHD and history of frequent COPD hospitalisation were associated with short-term readmission among the elderly.

    Matched MeSH terms: Hospitalization/trends
  6. Niti M, Ng TP
    J Epidemiol Community Health, 2003 Jan;57(1):17-22.
    PMID: 12490643
    STUDY OBJECTIVES: To assess avoidable hospitalisation as an indicator of quality of primary care by examining trends and gender and ethnic variations.
    DESIGN AND SETTING: Aggregated nationwide data in Singapore from 1991 to1998 were analysed for hospitalisations for chronic diseases that are avoidable by timely, appropriate, and effective primary care: asthma, congestive heart failure, chronic obstructive pulmonary disease, diabetes mellitus, and hypertension (avoidable hospitalisations).
    MAIN RESULTS: Of a total of 1 479 494 hospitalisations, 6.7% were for ambulatory care sensitive conditions (ACSC). The annual rate of avoidable hospitalisation was 29.4 per 10 000 population. Women had lower rates of avoidable hospitalisations than men (22.4 versus 29.5 per 10 000), as well as for total hospitalisations (496.2 versus 515.5 per 10 000). Adjusted for total hospitalisation, men were 1.3 times more likely than women to be hospitalised for ACSC. With similar adjustments for baseline utilisation, Indian and Malays had 1.7 and 1.8 times higher rates of avoidable hospitalisations than Chinese. Avoidable hospitalisation decline was -9.1% overall; greater in men (-11.8%) than in women (-5.3%); greater for Chinese (-15.8%), than Malays (-1.1%) and Indians (increase of +4.3%).
    CONCLUSION: Gender and ethnic differences and declining trends in avoidable hospitalisation demonstrated in this study suggest that avoidable hospitalisation rates are a sensitive indicator for assessing quality of primary ambulatory care.
    Matched MeSH terms: Hospitalization/trends
  7. Abootalebi S, Aertker BM, Andalibi MS, Asdaghi N, Aykac O, Azarpazhooh MR, et al.
    J Stroke Cerebrovasc Dis, 2020 Sep;29(9):104938.
    PMID: 32807412 DOI: 10.1016/j.jstrokecerebrovasdis.2020.104938
    BACKGROUND AND PURPOSE: The novel severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), now named coronavirus disease 2019 (COVID-19), may change the risk of stroke through an enhanced systemic inflammatory response, hypercoagulable state, and endothelial damage in the cerebrovascular system. Moreover, due to the current pandemic, some countries have prioritized health resources towards COVID-19 management, making it more challenging to appropriately care for other potentially disabling and fatal diseases such as stroke. The aim of this study is to identify and describe changes in stroke epidemiological trends before, during, and after the COVID-19 pandemic.

    METHODS: This is an international, multicenter, hospital-based study on stroke incidence and outcomes during the COVID-19 pandemic. We will describe patterns in stroke management, stroke hospitalization rate, and stroke severity, subtype (ischemic/hemorrhagic), and outcomes (including in-hospital mortality) in 2020 during COVID-19 pandemic, comparing them with the corresponding data from 2018 and 2019, and subsequently 2021. We will also use an interrupted time series (ITS) analysis to assess the change in stroke hospitalization rates before, during, and after COVID-19, in each participating center.

    CONCLUSION: The proposed study will potentially enable us to better understand the changes in stroke care protocols, differential hospitalization rate, and severity of stroke, as it pertains to the COVID-19 pandemic. Ultimately, this will help guide clinical-based policies surrounding COVID-19 and other similar global pandemics to ensure that management of cerebrovascular comorbidity is appropriately prioritized during the global crisis. It will also guide public health guidelines for at-risk populations to reduce risks of complications from such comorbidities.

    Matched MeSH terms: Hospitalization/trends*
  8. Wilairat P, Kengkla K, Thayawiwat C, Phlaisaithong P, Somboonmee S, Saokaew S
    Chron Respir Dis, 2018 12 19;16:1479973118815694.
    PMID: 30558448 DOI: 10.1177/1479973118815694
    To examine clinical outcomes of theophylline use in patients with chronic obstructive pulmonary disease (COPD) receiving inhaled corticosteroids (ICS) and long-acting beta-2 agonists (LABA). Electronic data from five hospitals located in Northern Thailand between January 2011 and December 2015 were retrospectively collected. Propensity score (PS) matching (2:1 ratio) technique was used to minimize confounding factors. The primary outcome was overall exacerbations. Secondary outcomes were exacerbation not leading to hospital admission, hospitalization for exacerbation, hospitalization for pneumonia, and all-cause hospitalizations. Cox's proportional hazards models were used to estimate adjusted hazard ratio (aHR) and 95% confidence interval (CI). After PS matching, of 711 patients with COPD (mean age: 70.1 years; 74.4% male; 60.8% severe airflow obstruction), 474 theophylline users and 237 non-theophylline users were included. Mean follow-up time was 2.26 years. Theophylline significantly increased the risk of overall exacerbation (aHR: 1.48, 95% CI: 1.11-1.96; p = 0.008) and exacerbation not leading to hospital admission (aHR: 1.47, 95% CI: 1.06-2.03; p = 0.020). Theophylline use did not significantly increase the risk of hospitalization for exacerbation (aHR: 1.11, 95% CI: 0.79-1.58; p = 0.548), hospitalization for pneumonia (aHR: 1.28, 95% CI: 0.89-1.84; p = 0.185), and all-cause hospitalizations (aHR: 1.03, 95% CI: 0.80-1.33; p = 0.795). Theophylline use as add-on therapy to ICS and LABA might be associated with an increased risk for overall exacerbation in patients with COPD. A large-scale prospective study of theophylline use investigating both safety and efficacy is warranted.
    Matched MeSH terms: Hospitalization/trends
  9. Tang RY, Lim SH, Lam JE, Nurasykin S, Eileen T, Chan YW
    Med J Malaysia, 2019 12;74(6):472-476.
    PMID: 31929471
    INTRODUCTION: Melioidosis is caused by Burkholderia pseudomallei, a gram-negative aerobic bacillus, found in the soil and surface water. Treating melioidosis has been a challenge in district hospitals due to high usage of broad spectrum antibiotics and prolonged hospitalisation. This study is to review the patients' demography, clinical presentations and microbiological data.

    METHODS: A 5-year retrospective study was carried out on patients admitted with culture positive for melioidosis from year 2013 to 2017 in Hospital Teluk Intan, Perak.

    RESULTS: There were a total of 46 confirmed cases of melioidosis. Majority of the patients were working in the agricultural and farming (28.6%), and factories (25.7%). Thirty-one patients had diabetes mellitus (71.1%). Presentations of patients with melioidosis included pneumonia (54.3%), skin and soft tissue infection (19.6%), deep abscesses (15.2%) and bone and joint infections (13%). An average of 5.8 days was needed to confirm the diagnosis of melioidosis via positive culture. However, only 39.4% of these patients were started on ceftazidime or carbapenem as the empirical therapy. The intensive care unit (ICU) admission rate for melioidosis was 46% and the mortality rate was 52%. Our microbial cultures showed good sensitivity towards cotrimoxazole (97.1%), ceftazidime (100%) and carbapenem (100%).

    CONCLUSION: Melioidosis carries high mortality rate, especially with lung involvement and bacteremia. Physicians should have high clinical suspicion for melioidosis cases to give appropriate antimelioidosis therapy early.

    Matched MeSH terms: Hospitalization/trends
  10. Kuan WS, Craig S, Kelly AM, Keijzers G, Klim S, Graham CA, et al.
    Clin Respir J, 2018 Jun;12(6):2117-2125.
    PMID: 29469993 DOI: 10.1111/crj.12782
    INTRODUCTION: Shortness of breath is a common presenting symptom to the emergency department (ED) that can arise from a myriad of possible diagnoses. Asthma is one of the major causes.

    OBJECTIVE: The aim of this study was to describe the demographic features, clinical characteristics, management and outcomes of adults with an ED diagnosis of asthma who presented to an ED in the Asia Pacific region with a principal symptom of dyspnea.

    METHODS: Planned sub-study of patients with an ED diagnosis of asthma identified in the Asia, Australia and New Zealand Dyspnoea in Emergency Departments (AANZDEM) study. AANZDEM was a prospective cohort study conducted in 46 EDs in Australia, New Zealand, Singapore, Hong Kong and Malaysia over three 72 hour periods in May, August and October 2014. Primary outcomes were patient epidemiology, clinical features, treatment and outcomes (hospital length of stay (LOS) and mortality).

    RESULTS: Of the 3044 patients with dyspnea, 387 (12.7%) patients had an ED diagnosis of asthma. The median age was 45 years, 60.1% were female, 16.1% were active or recent smokers and 30.4% arrived by ambulance. Inhaled bronchodilator therapy was initiated in 88.1% of patients, and 66.9% received both inhaled bronchodilators and systemic corticosteroids. After treatment in the ED, 65.4% were discharged. No death was reported.

    CONCLUSION: Asthma is common among patients presenting with a principal symptom of dyspnea in the ED of the Asia Pacific region. There was a suboptimal adherence to international guidelines on investigations and treatments of acute asthma exacerbations presenting an opportunity to improve the efficiency of care.

    Matched MeSH terms: Hospitalization/trends
  11. Saheb Sharif-Askari N, Syed Sulaiman SA, Saheb Sharif-Askari F, Hussain AA
    Int J Clin Pharm, 2015 Feb;37(1):105-12.
    PMID: 25488317 DOI: 10.1007/s11096-014-0046-3
    BACKGROUND: Little is known about the adverse drug reaction (ADR) related admissions among heart failure (HF) patients.

    OBJECTIVE: The aim of this study was to determine the rate, factors, and medications associated with ADR-related hospitalisations among HF patients.

    SETTING: Two government hospitals in Dubai, United Arab Emirates.

    METHODS: This was a prospective, observational study. Consecutive adult HF patients who were admitted between December 2011 and November 2012 to the cardiology units were included in this study. The circumstances of their admission were analysed.

    MAIN OUTCOME MEASURES: ADRs-related admissions of HF patients to cardiology units were identified and further assessed for their nature, causality, and preventability.

    RESULTS: Of 511 admissions, 34 were due to ADR-related hospitalisation (6.65, 95 % confidence interval 4.8-8.5 %). Number of medications taken by HF patients was the only predictors of ADR-related hospitalisations, where higher number of medications was associated with the odd ratio of 1.11 (95 % CI, 1.03-1.20, P = 0.005). More than one-third of ADR-related hospitalisations (35 %) were preventable The most frequent drugs causing ADR-related hospitalisation were diuretics (32 %), followed by non-steroidal anti-inflammatory drugs (15 %), thiazolidinediones (9 %), anticoagulants (9 %), antiplatelets (6 %), and aldosterone blockers (6 %).

    CONCLUSION: ADR-related hospitalisations account for 6.7 % of admissions of HF patients to cardiac units, one-third of which are preventable. Number of medications taken by HF patients is the only predictors of ADR-related hospitalisations. Diuretic induced volume depletion, and sodium and water retention caused by thiazolidinediones and NSAIDs medications are the major causes of ADR-related hospitalisations of HF patients.

    Matched MeSH terms: Hospitalization/trends*
  12. Ghoreishi A, Arsang-Jang S, Sabaa-Ayoun Z, Yassi N, Sylaja PN, Akbari Y, et al.
    J Stroke Cerebrovasc Dis, 2020 Dec;29(12):105321.
    PMID: 33069086 DOI: 10.1016/j.jstrokecerebrovasdis.2020.105321
    BACKGROUND: The emergence of the COVID-19 pandemic has significantly impacted global healthcare systems and this may affect stroke care and outcomes. This study examines the changes in stroke epidemiology and care during the COVID-19 pandemic in Zanjan Province, Iran.

    METHODS: This study is part of the CASCADE international initiative. From February 18, 2019, to July 18, 2020, we followed ischemic and hemorrhagic stroke hospitalization rates and outcomes in Valiasr Hospital, Zanjan, Iran. We used a Bayesian hierarchical model and an interrupted time series analysis (ITS) to identify changes in stroke hospitalization rate, baseline stroke severity [measured by the National Institutes of Health Stroke Scale (NIHSS)], disability [measured by the modified Rankin Scale (mRS)], presentation time (last seen normal to hospital presentation), thrombolytic therapy rate, median door-to-needle time, length of hospital stay, and in-hospital mortality. We compared in-hospital mortality between study periods using Cox-regression model.

    RESULTS: During the study period, 1,026 stroke patients were hospitalized. Stroke hospitalization rates per 100,000 population decreased from 68.09 before the pandemic to 44.50 during the pandemic, with a significant decline in both Bayesian [Beta: -1.034; Standard Error (SE): 0.22, 95% CrI: -1.48, -0.59] and ITS analysis (estimate: -1.03, SE = 0.24, p 

    Matched MeSH terms: Hospitalization/trends*
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