Adaptation of risk prediction equations for cardiovascular outcomes among patients with type 2 diabetes in real-world settings: a cross-institutional study using common data model approach.

OBJECTIVE: To adapt risk prediction equations for myocardial infarction (MI), stroke, and heart failure (HF) among patients with type 2 diabetes in real-world settings using cross-institutional electronic health records (EHRs) in Taiwan. METHODS: The EHRs from two medical centers, National Cheng Kung University Hospital (NCKUH; 11,740 patients) and National Taiwan University Hospital (NTUH; 20,313 patients), were analyzed using the common data model approach. Risk equations for MI, stroke, and HF from UKPDS-OM2, RECODe, and CHIME models were adapted for external validation and recalibration. External validation was assessed by (1) discrimination, evaluated by the area under the receiver operating characteristic curve (AUROC) and (2) calibration, evaluated by calibration slopes and intercepts and the Greenwood-Nam-D'Agostino (GND) test. Recalibration was conducted for unsatisfactory calibration (p-value of GND test < 0.05) by adjusting the baseline hazards of original equations to address variations in patients' cardiovascular risks across institutions. RESULTS: The CHIME risk equations had acceptable discrimination (AUROC: 0.71-0.79) and better calibration than that for UKPDS-OM2 and RECODe, although the calibration remained unsatisfactory. After recalibration, the calibration slopes/intercepts of the CHIME-MI, CHIME-stroke, and CHIME-HF risk equations were 0.9848/- 0.0008, 1.1003/- 0.0046, and 0.9436/0.0063 in the NCKUH population and 1.1060/- 0.0011, 0.8714/0.0030, and 1.0476/- 0.0016 in the NTUH population, respectively. All the recalibrated risk equations showed satisfactory calibration (p-values of GND tests ≥ 0.05). CONCLUSIONS: We provide valid risk prediction equations for MI, stroke, and HF outcomes in Taiwanese type 2 diabetes populations. A framework for adapting risk equations across institutions is also proposed.

Longitudinal economic burden of incident complications among metabolic syndrome populations.

BACKGROUND: This study quantifies the longitudinal economic burden for a wide spectrum of incident complications, metabolic syndrome (MS)-related risk factors, and comorbidities in patients with MS. METHODS: This retrospective study utilized linked data from the 2013 National Health Interview Survey and the 2012-2021 National Health Insurance Research Database to identify MS individuals and their characteristics. The incidence rate of each complication was calculated as the number of complication events in the study period divided by the total person-years during follow-up. The healthcare costs of complications were analyzed using a generalized estimating equation model to determine the cost impact of complications after adjustment for patients' characteristics. Sensitivity analyses on variables with high missing rates (i.e., cause of death, body mass index) were performed. RESULTS: Among 837 identified MS individuals over 8.28 (± 1.35) years of follow-up, the most frequent complications were microvascular diseases (incidence rate for nephropathy/retinopathy/neuropathy: 6.49/2.64/2.08 events per 100 person-years), followed by cardiovascular diseases (2.47), peripheral vascular diseases (2.01), and cancers (1.53). Death was the costliest event (event-year cost per person: USD 16,429) and cancers were the most expensive complications (USD 9,127-11,083 for non-MS- and MS-related cancers). Developing non-MS/MS-related cancers, cardiovascular diseases, and obesity-related medical conditions increased annual costs by 273% (95% CI: 181-397%)/175% (105-269%), 159% (118-207%), and 140% (84-214%), respectively. Microvascular diseases had the lowest cost impact on annual costs (i.e., 27% [17-39%]/27% [11-46%]/24% [11-37%] increases for nephropathy/neuropathy/retinopathy, respectively). Having existing comorbidities increased annual costs by 20% (osteoarthritis) to 108% (depression). Having morbid obesity (i.e., body mass index ≥ 35 kg/m2) increased annual costs by 58% (30-91%). CONCLUSIONS: The economic burden from costly incident complications (i.e., cardiovascular diseases, peripheral vascular diseases, cancers), MS-related risk factors (i.e., morbid obesity), and comorbidities (i.e., depression) highlight the urgent need for early intervention to prevent MS and its progression. The comprehensive cost estimates reported in this study can facilitate the parameterization of economic analyses to identify cost-effective interventions for these patients.

Quality of life with pregnancy outcomes: Further evaluating item properties for refined Taiwan's FertiQoL.

PURPOSE: We assessed the reliability and validity of Taiwan's version of FertiQoL, with a focus on the association between quality of life (QoL) and in-vitro-fertilization (IVF) pregnancy. METHODS: 410 women undergoing IVF treatment were included. QoL measured by Taiwan's version of FertiQoL was assessed before embryo transfer. Item properties were examined using corrected item-total correlation, Rasch mean-square (MnSq), and internal consistency. Known-group validity was assessed using IVF pregnancy (i.e., chemical pregnancy, ongoing pregnancy, live birth) as the outcomes of interest. RESULTS: Five FertiQoL items, namely Q4, Q5, Q15, Q21, and T5, had low corrected item-total correlation (i.e., -0.146-0.290) in their embedded domains; three other items, namely Q11, Q14, and T2, did not have acceptable MnSq values in the Rasch analysis (i.e., infit MnSq: 1.31-2.28; outfit MnSq: 1.95-4.57). These items were removed and a refined Taiwan's FertiQoL was generated. The internal consistency for the refined Taiwan's FertiQoL was improved (α = 0.928) with the capability of distinguishing women who had successful live birth from those who had failed live birth (i.e., 72.40 ± 12.71vs. 69.21 ± 13.26; p = 0.019). CONCLUSION: The study results demonstrate that the refined Taiwan's FertiQoL is valid and reliable, suggesting that this FertiQoL should refined to be culturally and language appropriate for Taiwanese population.

Kidney outcomes with SGLT2is for type 2 diabetes patients: does background treatment with metformin or RASis matter?

Introduction: There is a lack of real-world evidence regarding the impact of concomitant metformin and renin-angiotensin system inhibitors (RASis) on sodium-glucose cotransporter-2 inhibitor (SGLT2i)-associated kidney outcomes. This study was aimed to investigate whether SGLT2i-associated kidney outcomes were modified by the concomitant use of metformin or RASis in patients with type 2 diabetes. Methods: SGLT2i users were identified from three electronic health record databases during May 2016 and December 2017 and categorized into those with and without concomitant use of metformin or RASis. Propensity score matching was performed to minimize baseline differences between groups. Study outcomes were mean estimated glomerular filtration rate (eGFR) change and time to 30%, 40%, and 50% eGFR reductions. A meta-analysis was performed to combine the estimates across databases. Results: After matching, there were 6,625 and 3,260 SGLT2i users with and without metformin, and 6,654 and 2,746 SGLT2i users with and without RASis, respectively. The eGFR dip was similar in SGLT2i users with and without metformin therapy, but was greater in SGLT2i users with RASis compared to those without RASis. Neither metformin nor RASi use had a significant effect on SGLT2i-associated eGFR reductions, as evidenced by the hazard ratios (95% CIs) of 30% eGFR reductions for SGLT2is with versus without metformin/RASis, namely 1.02 (0.87-1.20)/1.09 (0.92-1.31). Such findings were also observed in the outcomes of 40% and 50% eGFR reductions. Conclusion: Using metformin or RASis did not modify SGLT2i-associated kidney outcomes in type 2 diabetes.