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1.
Pharmacoepidemiol Drug Saf ; 32(7): 795-811, 2023 Jul.
Article in English | MEDLINE | ID: mdl-36890603

ABSTRACT

PURPOSE: To compile validation findings of diagnosis codes and related algorithms for health outcomes of interest from National Health Insurance (NHI) or electronic medical records in Taiwan. METHODS: We carried out a literature review of English articles in PubMed® and Embase from 2000 through July 2022 with appropriate search terms. Potentially relevant articles were identified through review of article titles and abstracts, full text search of methodology terms "validation", "positive predictive value", and "algorithm" in Subjects & Methods (or Methods) and Results sections of articles, followed by full text review of potentially eligible articles. RESULTS: We identified 50 published reports with validation findings of diagnosis codes and related algorithms for a wide range of health outcomes of interest in Taiwan, including cardiovascular diseases, stroke, renal impairment, malignancy, diabetes, mental health diseases, respiratory diseases, viral (B and C) hepatitis, and tuberculosis. Most of the reported PPVs were in the 80% ~ 99% range. Assessment of algorithms based on ICD-10 systems were reported in 8 articles, all published in 2020 or later. CONCLUSIONS: Investigators have published validation reports that may serve as empirical evidence to evaluate the utility of secondary health data environment in Taiwan for research and regulatory purpose.


Subject(s)
Electronic Health Records , International Classification of Diseases , Humans , Taiwan/epidemiology , Predictive Value of Tests , Databases, Factual , Algorithms
2.
PLoS One ; 15(12): e0243149, 2020.
Article in English | MEDLINE | ID: mdl-33270762

ABSTRACT

BACKGROUND: The effects of intravenous corticosteroids in patients with sepsis remain controversial due to mixed results from randomized trials. Moreover, updated definitions of sepsis, Sepsis-3, were proposed in 2016, and findings related to the effects of corticosteroids in patients defined by the Sepsis-3 criteria are scarce. OBJECTIVE: To investigate the effectiveness of corticosteroids in patients with sepsis or septic shock using real-world data to complement the findings of randomized controlled trials, and to determine whether the treatment effects differ by sepsis definitions. METHODS: We conducted this study by utilizing a large, multi-center healthcare database, eICU, in which we identified patients with sepsis admitted to 208 intensive care units across the US from 2014 to 2015 based on two different definitions: prior explicit definitions (i.e., based on diagnosis codes) and the Sepsis-3 definitions (i.e., based on SOFA score). The association between intravenous corticosteroids and in-hospital survival up to 50 days in patients with sepsis was retrospectively analyzed. A parametric hazard model with stabilized inverse probability of treatment weight adjustment was used to control for baseline confounders. RESULTS: Of the 7,158 patients identified based on the explicit definition, 562 (7.9%) received corticosteroids; of the 5,009 patients identified based on the Sepsis-3 definition, 465 (9.3%) received corticosteroids. In the explicit cohort, adjusted in-hospital survival at day 50 was 0.62 in the treated vs 0.57 in the non-treated, with a survival difference of 0.05 (95%CI: -0.11, 0.17). Similar results were seen in the Sepsis-3 cohort (0.58 vs 0.56 in treated and non-treated, respectively), with a 50-day survival difference of 0.02 (95%CI: -0.19, 0.17). CONCLUSIONS: In patients with sepsis or septic shock, intravenous corticosteroids were not associated with a higher in-hospital survival up to 50 days regardless of the sepsis definitions. Further research may be necessary to definitively confirm effectiveness in real-world practice.


Subject(s)
Adrenal Cortex Hormones/therapeutic use , Sepsis/drug therapy , Shock, Septic/drug therapy , Aged , Aged, 80 and over , Electronic Health Records , Female , Humans , Intensive Care Units , Male , Middle Aged , Retrospective Studies , Survival Analysis , Treatment Outcome
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