Publications by authors named "Thang Sieu Han"

4 Publications

  • Page 1 of 1

Comparison of characteristics and outcomes of patients admitted to hospital with COVID-19 during wave 1 and wave 2 of the current pandemic.

Intern Emerg Med 2021 Oct 12. Epub 2021 Oct 12.

Department of Endocrinology, Ashford and St Peter's Hospitals NHS Foundation Trust, Guildford Road, Chertsey, Surrey, KT16 0PZ, UK.

In this study of patients admitted with COVID-19, we examined differences between the two waves in patient characteristics and outcomes. Data were collected from the first COVID-19 admission to the end of study (01/03/2020-31/03/2021). Data were adjusted for age and sex and presented as odds ratios (OR) with 95% confidence intervals (CI). Among 12,471 admissions, 1452 (11.6%) patients were diagnosed with COVID-19. On admission, the mean (± SD) age of patients with other causes was 68.3 years (± 19.8) and those with COVID-19 in wave 1 was 69.4 years (± 18.0) and wave 2 was 66.2 years (± 18.4). Corresponding ages at discharge were 67.5 years (± 19.7), 63.9 years (± 18.0) and 62.4 years (± 18.0). The highest proportion of total admissions was among the oldest group (≥ 80 years) in wave 1 (35.0%). When compared with patients admitted with other causes, those admitted with COVID-19 in wave 1 and in wave 2 were more frequent in the 40-59 year band: 20.8, 24.6 and 30.0%; consisted of more male patients: 47.5, 57.6 and 58.8%; and a high LACE (Length of stay, Acuity of admission, Comorbidity and Emergency department visits) index (score ≥ 10): 39.4, 61.3 and 50.3%. Compared to wave-2 patients, those admitted in wave 1 had greater risk of death in hospital: OR = 1.58 (1.18-2.12) and within 30 days of discharge: OR = 2.91 (1.40-6.04). Survivors of COVID-19 in wave 1 stayed longer in hospital (median = 6.5 days; interquartile range = 2.9-12.0) as compared to survivors from wave 2 (4.5 days; interquartile range = 1.9-8.7). Patient characteristics differed significantly between the two waves of COVID-19 pandemic. There was an improvement in outcomes in wave 2, including shorter length of stay in hospital and reduction of mortality.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11739-021-02842-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505475PMC
October 2021

Early emergency readmission frequency as an indicator of short-, medium- and long-term mortality post-discharge from hospital.

Intern Emerg Med 2021 09 26;16(6):1497-1505. Epub 2020 Dec 26.

Department of Endocrinology, Ashford and St Peter's Hospitals NHS Foundation Trust, Guildford Road, Chertsey, Surrey, KT16 0PZ, UK.

Frequent emergency readmissions, an indicator of quality of care, has been rising in England but the underlying reasons remain unclear. We examined the association of early readmissions with subsequent mortality in adults, taking into account the underlying presenting diagnoses and hospital length of stay (LOS). Data of alive-discharge episodes were prospectively collected between 01/04/2017 and 31/03/2019 in an National Health Service hospital, comprising 32,270 patients (46.1% men) aged 18-107 years (mean = 64.0, ± SD = 20.5 years). The associations of readmission frequency within 28 days of discharge and mortality within 30 days and 6 months of hospital discharge, and over a 2-year period were evaluated, adjusted for presenting diagnoses, LOS, age and sex during the first admission. Analysis of all patients 18-107 years (reference: no readmission) showed mortality within 30 days was increased for 1 readmission: event rate = 9.2%, odds ratio (OR) = 3.4 (95% confidence interval (CI) = 2.9-4.0), and ≥ 2 readmissions: event rate = 10.0%, OR = 2.6 (95%CI = 2.0-3.3), and within 6 months for 1 readmission: event rate = 19.6%, OR = 3.0 (95%CI = 2.7-3.4), and ≥ 2 readmissions: event rate = 27.4%, OR = 3.4 (95%CI = 2.9-4.0), and over a 2-year period for 1 readmission: event rate = 25.5%, hazard ratio = 2.2 (95%CI = 2.0-2.4), and ≥ 2 readmissions: event rate = 36.1%, hazard ratio = 2.5 (95%CI = 2.2-2.8). Within the age groups 18-49, 50-59, 60-69, 70-79 and ≥ 80 years, readmissions were also associated with increased risk of mortality within 3 months and 6 months of discharge, and over 2-year period. In conclusion, early hospital readmission predicts short-, medium- and long-term mortality post-discharge from hospital in adults aged 18-107 years, independent of underlying presenting conditions, LOS, age and sex. Further research focussing on safe discharge and follow-up patient care may help reduce preventable readmissions and post-discharge mortality.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11739-020-02599-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354916PMC
September 2021

Clinical outcomes in patients admitted to hospital with cervical spine fractures or with hip fractures.

Intern Emerg Med 2021 Aug 26;16(5):1207-1213. Epub 2020 Nov 26.

Institute of Cardiovascular Research, Royal Holloway, University of London, Egham, TW20 0EX, Surrey, UK.

Patients admitted with a cervical fracture are twice as likely to die within 30 days of injury than those with a hip fracture. However, guidelines for the management of cervical fractures are less available than for hip fractures. We hypothesise that outcomes may differ between these types of fractures. We analysed 1359 patients (406 men, 953 women) with mean age of 83.8 years (standard deviation = 8.7) admitted to a National Health Service hospital in 2013-2019 with a cervical (7.5%) or hip fracture (92.5%) of similar age. The association of cervical fracture (hip fracture as reference), hospital length of stay (LOS), co-morbidities, age and sex with outcomes (acute delirium, new pressure ulcer, and discharge to residential/nursing care) was assessed by stepwise multivariate logistic regression. Acute delirium without history of dementia was increased with cervical fractures: odds ratio (OR) = 2.4, 95% confidence interval (CI) = 1.3-4.7, age ≥ 80 years: OR = 3.5 (95% CI = 1.9-6.4), history of stroke: OR = 1.8 (95% CI = 1.0-3.1) and ischaemic heart disease: OR = 1.9 (95% CI = 1.1-3.6); pressure ulcers was increased with cervical fractures: OR = 10.9 (95% CI = 5.3-22.7), LOS of 2-3 weeks: OR = 3.0 (95% CI = 1.2-7.5) and LOS of ≥ 3 weeks: OR = 4.9, 95% CI = 2.2-11.0; and discharge to residential/nursing care was increased with cervical fractures: OR = 3.2 (95% CI = 1.4-7.0), LOS of ≥ 3 weeks: OR = 4.4 (95% CI = 2.5-7.6), dementia: OR = 2.7 (95% CI = 1.6-4.7), Parkinson's disease: OR = 3.4 (95% CI = 1.3-8.8), and age ≥ 80 years: OR = 2.7 (95% CI = 1.3-5.6). In conclusion, compared with hip fracture, cervical fracture is more likely to associate with acute delirium and pressure ulcers, and for discharge to residency of high level of care, independent of established risk factors.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11739-020-02567-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310478PMC
August 2021

Derivation of age-adjusted LACE index thresholds in the prediction of mortality and frequent hospital readmissions in adults.

Intern Emerg Med 2020 10 28;15(7):1319-1325. Epub 2020 Jul 28.

Department of Endocrinology, Ashford and St Peter's NHS Foundation Trust, Guildford Road, Chertsey, Surrey, KT16 0PZ, UK.

The LACE index has been shown to predict hospital readmissions and death with variable accuracy. A LACE index ≥ 10 is considered as high risk in the existing literature. We aimed to derive age-specific LACE index thresholds in the prediction of mortality and frequent readmissions. Analysis of prospectively collected data of consecutive alive-discharge episodes between 01/04/2017 and 31/03/2019 to a single hospital was conducted. The derivation of LACE index thresholds for predicting all-cause mortality within 6 months of hospital discharge or frequent readmissions (≥ 2 times within 28 days) was examined by receiver operating characteristics (ROC) in 32270 patients (14878 men, 17392 women) aged 18-107 year (mean = 64.0 years, SD = 20.5). For all patients with a LACE index ≥ 10, the area under the curve (AUC) for predicting mortality was 80.5% (95% CI 79.7-81.3) and for frequent readmissions was 84.0% (83.0-85.1). Two-graph ROC plots showed that the LACE index threshold where sensitivity equates specificity was 9.5 (95% intermediate range = 5.6-13.5) for predicting mortality and 10.3 (95% intermediate range = 6.6-13.6) for frequent readmissions. These thresholds were lowest among youngest individuals and rose progressively with age for mortality prediction: 18-49 years = 5.0, 50-59 years = 6.5, 60-69 years = 8.0, 70-79 years = 9.8 and ≥ 80 years = 11.6, and similarly for frequent readmissions: 18-49 years = 5.1, 50-59 years = 7.5, 60-69 years = 9.1, 70-79 years = 10.6 and ≥ 80 years = 12.0. Positive and negative likelihood ratios (LRs) ranged 1.5-3.3 and 0.4-0.6 for predicting mortality, and 2.5-4.4 and 0.3-0.6 for frequent readmissions, respectively, with stronger evidence in younger than in older individuals (LRs further from unity). In conclusion, the LACE index predicts mortality and frequent readmissions at lower thresholds and stronger in younger than in older individuals. Age should be taken into account when using the LACE index for identifying patients at high risk.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11739-020-02448-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511461PMC
October 2020
-->