6 results match your criteria: "National University Health Systems Singapore[Affiliation]"
EClinicalMedicine
January 2023
Department of Biomedical Informatics, WiSDM, National University Health Systems Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 8, Singapore 119228.
Background: While acute kidney injury (AKI) is a common complication in COVID-19, data on post-AKI kidney function recovery and the clinical factors associated with poor kidney function recovery is lacking.
Methods: A retrospective multi-centre observational cohort study comprising 12,891 hospitalized patients aged 18 years or older with a diagnosis of SARS-CoV-2 infection confirmed by polymerase chain reaction from 1 January 2020 to 10 September 2020, and with at least one serum creatinine value 1-365 days prior to admission. Mortality and serum creatinine values were obtained up to 10 September 2021.
NPJ Digit Med
June 2022
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patients with COVID-19, 2.3 million control patients without COVID-19 in the inpatient and outpatient settings, and over 221 million diagnosis codes to systematically identify new-onset conditions enriched among patients with COVID-19 during the post-acute period.
View Article and Find Full Text PDFNPJ Digit Med
June 2022
Department of Biomedical Informatics, Harvard Medical School, Boston, USA.
Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mortality using baseline commonly measured laboratory values and standard demographic and clinical covariates across healthcare systems, countries, and continents. Specifically, we trained a Cox regression model with nine measured laboratory test values, standard demographics at admission, and comorbidity burden pre-admission.
View Article and Find Full Text PDFJAMA Netw Open
June 2021
Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts.
Importance: Additional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children and youth and inform infection prevention and clinical treatment of pediatric patients.
Objective: To describe international hospitalization trends and key epidemiological and clinical features of children and youth with COVID-19.
Design, Setting, And Participants: This retrospective cohort study included pediatric patients hospitalized between February 2 and October 10, 2020.
BMC Health Serv Res
April 2021
Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems Singapore, Singapore, Singapore.
Background: This study aimed to evaluate the cost-effectiveness of a breast cancer screening programme that incorporates genetic testing using breast cancer associated single nucleotide polymorphisms (SNPs), against the current biennial mammogram-only screening programme to aid in its implementation into the current programme in Singapore.
Methods: A Markov model was used to compare the costs and health outcomes of the current screening programme, against a polygenic risk-tailored screening programme, which can advise a long-term screening strategy depending on the individual's polygenic risk. The model took the perspective of the healthcare system, with a time horizon of 40 years, following women from the age of 35 to 74.