INTRODUCTION: The 30-day readmission rate for chronic obstructive pulmonary disease (COPD) is a common performance metric but may be confounded by factors unrelated to quality of care. Our aim was to assess how sociodemographic factors, multimorbidity and frailty impact 30-day readmission risk after COPD hospitalisation, and whether risk adjustment alters interpretation of temporal trends. METHOD: This is a retrospective analysis of administra-tive data from October 2017 to June 2023 from Changi General Hospital, Singapore. Multivariable mixed-effects logistic regression models were used to estimate unadjusted and risk-adjusted 30-day readmission odds. Covariates included age, sex, race, Charlson Comorbidity Index (CCI), Hospital Frailty Risk Score (HFRS) and year. Temporal trends in readmission risk were compared across unadjusted and adjusted models. RESULTS: Of the 2774 admissions, 749 (27%) resulted in 30-day readmissions. Higher CCI (CCI≥4 versus [vs] CCI=1: adjusted odds ratio [aOR] 2.00, 95% confidence interval [CI] 1.33-2.99, P=0.003; CCI 2-3 vs CCI=1: aOR 1.50, 95% CI 1.15-1.96, P=0.001) and higher HFRS (≥5 vs <5: aOR 1.29, 95% CI 1.01-1.65, P=0.04) were independently associated with increased readmission risk. While unadjusted analyses showed no significant temporal trends, the risk-adjusted model revealed a 32-35% reduction in readmission odds in 2021-2023 compared to baseline. CONCLUSION Multimorbidity and frailty significantly impact COPD readmissions. Risk adjustment revealed improvements in readmission risk not evident in unadjusted analyses, emphasising the importance of applying risk adjustments to ensure valid performance metrics.
Humans ; Pulmonary Disease, Chronic Obstructive/therapy* ; Patient Readmission/trends* ; Male ; Female ; Retrospective Studies ; Aged ; Singapore/epidemiology* ; Multimorbidity ; Frailty/epidemiology* ; Middle Aged ; Risk Adjustment ; Aged, 80 and over ; Logistic Models ; Risk Factors

This study attempted to calculate and investigate the incidence of hospitalized acute myocardial infarction (AMI) and stroke in Korea. Using the National Health Insurance claim data, we investigated patients whose main diagnostic codes included AMI or stroke during 2006 to 2010. As a result, we found out that the number of AMI hospitalized patients had decreased since 2006 and amounted to 15,893 in 2010; and that the number of those with stroke had decreased since 2006 and amounted to 73,501 in 2010. The age-standardized incidence rate of hospitalized AMI, after adjustment for readmission, was 41.6 cases per 100,000-population in 2006, and had decreased to 29.4 cases in 2010 (for trend P < 0.001). In the case of stroke was estimated at 172.8 cases per 100,000-population in 2006, and had decreased to 135.1 cases in 2010 (for trend P < 0.001). In conclusion, the age-standardized incidence rates of both hospitalized AMI and stroke in Korea had decreased continuously during 2006 to 2010. We consider this decreasing trend due to the active use of pharmaceuticals, early vascular intervention, and the national cardio-cerebrovascular disease care project as the primary and secondary prevention efforts.
Acute Disease ; Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Female ; Hospitalization/*trends ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Myocardial Infarction/*epidemiology ; Patient Readmission ; Republic of Korea/epidemiology ; Sex Factors ; Stroke/*epidemiology ; Young Adult

INTRODUCTIONWhile the readmission rate from community hospitals is known, the factors affecting it are not. Our aim was to determine the factors predicting unplanned readmissions from community hospitals (CHs) to acute hospitals (AHs).

MATERIALS AND METHODSThis was an observational prospective cohort study, involving 842 patients requiring post-acute rehabilitation in 2 CHs admitted from 3 AHs in Singapore. We studied the role of the Cumulative Illness Rating Scale (CIRS) organ impairment scores, the Mini-mental State Examination (MMSE) score, the Shah modified Barthel Index (BI) score, and the triceps skin fold thickness (TSFT) in predicting the rate of unplanned readmissions (UR), early unplanned readmissions (EUPR) and late unplanned readmissions (LUPR). We developed a clinical prediction rule to determine the risk of UR and EUPR.

RESULTSThe rates of EUPR and LUPR were 7.6% and 10.3% respectively. The factors that predicted UR were the CIRS-heart score, the CIRS-haemopoietic score, the CIRS-endocrine / metabolic score and the BI on admission. The MMSE was predictive of EUPR. The TSFT and CIRS-liver score were predictive of LUPR. Upon receiver operator characteristics analysis, the clinical prediction rules for the prediction of EUPR and UR had areas under the curve of 0.745 and 0.733 respectively. The likelihood ratios of the clinical prediction rules for EUPR and UR ranged from 0.42 to 5.69 and 0.34 to 3.16 respectively.

CONCLUSIONSPatients who have UR can be identified by the admission BI, the MMSE, the TSFT and CIRS scores in the cardiac, haemopoietic, liver and endocrine/metabolic systems.

Acute Disease ; therapy ; Aged ; Female ; Follow-Up Studies ; Hospitals, Community ; statistics & numerical data ; Hospitals, Special ; statistics & numerical data ; Humans ; Intensive Care Units ; statistics & numerical data ; Male ; Patient Readmission ; trends ; Prospective Studies ; Risk Factors ; Severity of Illness Index ; Singapore

INTRODUCTIONTotal knee arthroplasty (TKA) is one of the most successful orthopaedic procedures to date. It is estimated that over 130,000 of TKAs are performed in the United States every year. Whilst the procedure is safe, it nevertheless carries a risk of perioperative mortality and morbidity. This study aimed to report the mortality rate within 30 days after a TKA, as well as to assess the incidence of early postoperative morbidities.

MATERIALS AND METHODSWe reviewed a total of 2219 TKAs performed by multiple surgeons in our centre from 1998 to 2001. All mortalities within 30 days of a TKA were recorded. Morbidities such as infection, thromboembolic phenomenon, and any re-admissions within 30 days of operation or 15 days of discharge were recorded.

RESULTSThe mortality rate within 30 days of a TKA was 0.27% (6 of 2219 patients). The incidence of early postoperative infection was 1.8%, of which 1.44% were superficial and 0.36% were deep infections. There were 3 cases (0.13%) of pulmonary embolism and 22 cases (0.99%) of deep vein thrombosis.

CONCLUSIONSThe 30-day mortality rate, and the incidence of infection after TKA performed in our institution is comparable to other centres around the world, and further emphasises that TKA is a safe procedure. However, the small number of mortalities in this study does not allow us to identify a predominant cause of perioperative mortality.

Aged ; Aged, 80 and over ; Arthroplasty, Replacement, Knee ; adverse effects ; mortality ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Mortality ; trends ; Patient Readmission ; Postoperative Complications ; Pulmonary Embolism ; Retrospective Studies ; Thromboembolism ; Treatment Failure ; Venous Thrombosis