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Background: Biomedical data warehouses (BDWs) have become an essential tool to facilitate the reuse of health data for both research and decisional applications. Beyond technical issues, the implementation of BDWs requires strong institutional data governance and operational knowledge of the European and national legal framework for the management of research data access and use., Objective: In this paper, we describe the compound process of implementation and the contents of a regional university hospital BDW., Methods: We present the actions and challenges regarding organizational changes, technical architecture, and shared governance that took place to develop the Nantes BDW. We describe the process to access clinical contents, give details about patient data protection, and use examples to illustrate merging clinical insights., Unlabelled: More than 68 million textual documents and 543 million pieces of coded information concerning approximately 1.5 million patients admitted to CHUN between 2002 and 2022 can be queried and transformed to be made available to investigators. Since its creation in 2018, 269 projects have benefited from the Nantes BDW. Access to data is organized according to data use and regulatory requirements., Conclusions: Data use is entirely determined by the scientific question posed. It is the vector of legitimacy of data access for secondary use. Enabling access to a BDW is a game changer for research and all operational situations in need of data. Finally, data governance must prevail over technical issues in institution data strategy vis-à-vis care professionals and patients alike., (© Matilde Karakachoff, Thomas Goronflot, Sandrine Coudol, Delphine Toublant, Adrien Bazoge, Pacôme Constant Dit Beaufils, Emilie Varey, Christophe Leux, Nicolas Mauduit, Matthieu Wargny, Pierre-Antoine Gourraud. Originally published in JMIR Medical Informatics (https://medinform.jmir.org).)

Background & Aims: Beyond cardiovascular disease protection, the health consequences of very low concentrations of low-density lipoprotein-cholesterol (LDL-C) remain a matter of debate. In primary hypobetalipoproteinemia (HBL), liver steatosis and cirrhosis have occasionally been reported. Here, we aimed to investigate the association between HBL and the risk of hepatic complications (cirrhosis complications and/or primary liver cancer) in the general population., Methods: A cohort study was conducted in the French population-based cohort CONSTANCES. Participants with primary HBL (LDL-C <5 th percentile for age and sex, [HBL]) were compared with those with normal LDL-C concentrations (40 th -60 th percentile, [Control]). Participants on lipid-lowering therapies were excluded. For hepatic complications, follow-up events were compared by calculating the incidence density ratio (IDR). The same analyses were replicated in the UK Biobank (UKBB) cohort., Results: In the CONSTANCES and UKBB cohorts, 34,653 and 94,666 patients were analyzed, with median ages of 45 and 56 years, mean LDL-C concentrations (HBL vs. control) of 71 vs. 128 mg/dl and 86 vs. 142 mg/dl, and mean follow-up durations of 5.0 and 11.5 years, respectively. The HBL group presented a higher incidence of hepatic complications than the control group: 0.32/ vs. 0.07/1,000 person-years (IDR = 4.50, 95% CI 1.91-10.6) in CONSTANCES, and 0.69/ vs. 0.21/1,000 person-years (IDR = 3.27, 95% CI 2.63-4.06) in the UKBB. This risk proved to be independent of classic risk factors for liver disease (obesity, alcohol consumption, diabetes, viral hepatitis), including in a 5-year landmark analysis excluding early events. Sensitivity analyses based on apoliprotein-B levels (instead of LDL-C levels) or genetically defined HBL showed similar results., Conclusions: HBL is associated with a markedly increased risk of hepatic complications. HBL must be considered as a substantial independent risk factor for liver diseases which justifies specific prevention and screening., Impact and Implications: Hypobetalipoproteinemia (HBL) is a lipid disorder characterized by permanent, inherited low levels (below the 5 th percentile) of low-density lipoprotein-cholesterol. While HBL is associated with a lower risk of cardiovascular events, some studies suggest that it may be associated with a potential risk of hepatic steatosis and hepatic complications. Here, we studied the association between HBL and hepatic complications (defined as cirrhosis complications and/or primary liver cancer) in two populations of several hundred thousand people, both in France (CONSTANCES cohort) and the United Kingdom (UKBB). The results show that HBL is associated with a significant and independent excess risk of hepatic complications, including primary liver cancer. Thus, in people with HBL, the value of regular liver monitoring must be studied., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Context: Osteoporosis and/or bone fractures are indications of parathyroidectomy in primary hyperparathyroidism (PHPT), especially in women. However, the benefit of surgery in patients with osteopenia remains unclear., Objective: To evaluate bone mineral density (BMD) and bone remodeling biomarkers changes 1 year after parathyroidectomy in women with PHPT., Design: In the prospective, monocentric, observational prospective cohort with primary hyperparathyroidism patients (CoHPT) cohort, women operated for sporadic PHPT since 2016 with ≥1 year follow-up were included. BMD (dual-X ray absorptiometry) and bone remodeling biomarkers [cross-linked C-telopeptide (CTX), procollagen type 1 N-terminal propeptide (P1NP), and bone-specific alkaline phosphatases] were assessed before and 1 year after parathyroidectomy., Setting: Referral center., Patients: A total of 177 women with PHPT (62.5 ± 13.3 years, 83.1% menopausal, 43.9% osteopenic, and 45.1% osteoporotic) were included., Intervention: Parathyroidectomy., Main Outcome Measure: BMD change between before and 1 year after parathyroidectomy., Results: Parathyroidectomy resulted in significant increase in BMD and decrease in serum bone remodeling biomarker concentrations. In the 72 patients with baseline osteopenia, mean BMD significantly increased at the lumbar spine [+0.05 g/cm2 (95% confidence interval [CI], 0.03-0.07)], the femoral neck [+0.02 g/cm2 (95% CI 0.00-0.04)], the total hip [+0.02 g/cm2 (95% CI 0.01-0.02)], and the forearm [+0.01 (95% CI 0.00-0.02)], comparable to osteoporotic patients. Among osteopenic patients, those with individual BMD gain (>0.03 g/cm2) at ≥1 site had higher preoperative serum CTX, P1NP, and urine calcium concentrations than those without improvement., Conclusion: Parathyroidectomy significantly improved BMD and remodeling biomarkers in women with osteopenia, thereby supporting the benefit of parathyroidectomy in these patients. Preoperative serum CTX and P1NP concentrations could be useful to predict expected BMD gain., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: According to a meta-analysis of randomized clinical trials, paclitaxel-coated devices (PCDs) for lower limb endovascular revascularization may be associated with increased risk of late mortality., Objectives: The purpose of this study was to determine whether PCDs are associated with all-cause mortality in a real-world setting., Methods: DETECT is a nationwide, exhaustive retrospective cohort study using medico-administrative data from the French National Healthcare System representing >99% of the population. The main selection criterion was the first procedure of interest: endovascular revascularization for lower limb peripheral artery disease involving ≥1 balloon and/or stent performed between October 1, 2011, and December 31, 2019. Patients with or without PCDs were compared for all-cause mortality until December 31, 2021., Results: A total of 259,137 patients were analyzed, with 20,083 (7.7%) treated with ≥1 PCD. After a median follow-up of 4.1 years (Q1-Q3: 2.3-6.4 years), a total of 5,385 deaths/73,923 person-years (PY) (7.3/100 PY) and 109,844 deaths/1,060,513 PY (10.4/100 PY) were observed in the PCD and control groups, respectively. After adjustment for confounding factors, PCD treatment was associated with a lower risk of mortality in multivariable Cox analyses (HR: 0.86; 95% CI: 0.84-0.89; P < 0.001). Similar results were observed using propensity score matching approaches based on either nearest-neighbor or exact matching., Conclusions: In a nationwide analysis based on large-scale real-world data, exposure to PCDs was not associated with a higher risk of mortality in patients undergoing endovascular revascularization for lower limb peripheral artery disease. (The DETECT Project; NCT05254106)., Competing Interests: Funding Support and Author Disclosures This study was funded by Boston Scientific and Nantes University Hospital. The original statistical analyses plan was proposed by Nantes University Hospital and discussed between the 2 parts. Data access was only provided to the personnel of Nantes University Hospital, who performed all data management and analyses, and wrote the first draft of the manuscript. Results were shared with Boston Scientific prior to journal submission, with no right to object to publication’s content. Dr Wargny has received personal fees from Boston Scientific. Dr Gourraud is the founder of Methodomics (2008) and the cofounder of Big data Santé (2018); consults for major pharmaceutical companies and start-ups, all of which are handled through academic pipelines (AstraZeneca, Biogen, Boston Scientific, Cook, Docaposte, Edimark, Ellipses, Elsevier, Janssen, Lek, Methodomics, Merck, Mérieux, Octopize, and Sanofi-Genzyme); and is a volunteer board member at AXA not-for-profit mutual insurance company (2021), but has no prescription activity with either drugs or devices. Dr Gouëffic has received research funding from Boston Scientific, Cook, General Electric, Veryan, and WL Gore; and has received personal fees and grants from Abbott, Bard, Biotronik, Boston Scientific, Cook, General Electric, Medtronic, Penumbra, Terumo, Veryan, and WL Gore (medical advisory board, educational course, speaking). All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background: The impact of parathyroidectomy on bone mineral density in men with primary hyperparathyroidism is poorly known. This study aimed to evaluate the bone mineral density and bone remodeling biomarker changes in men with primary hyperparathyroidism 1 year after parathyroidectomy., Methods: Men operated for sporadic primary hyperparathyroidism between 2016 and 2022, enrolled in a monocentric prospective cohort, were analyzed. Patients with follow-up <1 year or missing data were excluded. Bone mineral density (dual X-ray absorptiometry) was measured before and 12 months after parathyroidectomy. Bone mineral density change ≥0.03g/cm 2 was deemed significant. Bone remodeling biomarkers were serum cross-linked C-telopeptide, procollagen type 1 N-terminal propeptide, and bone-specific alkaline phosphatases., Results: Forty-five men were included (mean age 58.8 ± 13.1 years). Before surgery, 49% had osteopenia, and 11% had osteoporosis. Mean serum calcium and median serum parathyroid hormone levels decreased significantly after surgery (P < .0001). One year after parathyroidectomy, the mean bone mineral density increased significantly at the lumbar spine (+0.04g/cm 2 [0.01;0.70], P = .0054), femoral neck (+0.04g/cm 2 [0.03;0.05], P < .0001) and total hip (+0.02g/cm 2 [0.01;0.03], P = .0002). Considering significant bone mineral density gain (+1 point) and loss (-1 point) at each site, 29/45 patients (64% [95% CI 49;78]) improved. Bone remodeling biomarker concentrations significantly decreased (P < .001)., Conclusion: Parathyroidectomy positively affects bone mineral density in men with primary hyperparathyroidism, supporting osteopenia as a surgical indication in these patients., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: There is a lack of real-life data regarding the frequency and predictive factors of hypoglycemia in older patients with type 2 diabetes (T2D). This study aimed to determine the frequency and predictors of hypoglycemia in older patients with insulin-treated T2D., Methods: This prospective multicenter study included 155 insulin-treated T2D patients aged 75 years and older with ≥2 self-monitoring of blood glucose (SMBG) daily controls. Participants underwent a geriatric and diabetic assessment and received ambulatory blinded continuous glucose monitoring (CGM) for 28 consecutive days with FreeStyle Libre Pro® sensor. Study population (n = 141) has >70% CGM active time. Multivariable logistic regressions were used to identify factors associated with SMBG confirmed hypoglycemia (≥70 mg/dL) and with nocturnal level 2 time below range (glucose concentration <54 mg/dL during ≥15 consecutive min between 0.00 and 6.00 am)., Results: The mean age of the 141 analyzed patients was 81.5 ± 5.3 years and 56.7% were male. The mean baseline HbA 1c was 7.9% ± 1.0%. After geriatric assessment, 102 participants (72.3%) were considered as complex and 39 (27.7%) as healthy. The primary endpoint (confirmed SMBG <70 mg/dL) occurred in 37.6% patients. In multivariable analysis, the risk of SMBG-confirmed hypoglycemia was positively associated with a longer duration of diabetes (OR (+1 year) =1.04, (1.00-1.08), p = 0.04) and glycemic variability assessed by CGM (CV %) (OR (+1%) = 1.12, [1.05-1.19], p = <0.001). Nighty-two patients (65.2%) experienced nocturnal time in hypoglycemia (i.e., <54 mg/dL during ≥15 consecutive min between midnight and 6 a.m.). In multivariable analyses, cognitive impairment (OR: 9.31 [2.59-33.4]), heart failure (OR: 4.81 [1;48-15.6]), and depressive disorder (OR: 0.19 [0.06-0.53]) were associated with nocturnal time in hypoglycemia., Conclusion: Nocturnal hypoglycemia is very common and largely underdiagnosed in older patients with insulin-treated T2D. CGM is a promising tool to better identify hypoglycemia and adapt diabetes management in this population., (© 2023 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society.)

Genetic diagnosis of familial hypercholesterolemia (FH) remains unexplained in 30 to 70% of patients after exclusion of monogenic disease. There is now a growing evidence that a polygenic burden significantly modulates LDL-cholesterol (LDL-c) concentrations. Several LDL-c polygenic risk scores (PRS) have been set up. However, the balance between their diagnosis performance and their practical use in routine practice is not clearly established. Consequently, we set up new PRS based on our routine panel for sequencing and compared their diagnostic performance with previously-published PRS. After a meta-analysis, four new PRS including 165 to 1633 SNP were setup using different softwares. They were established using two French control cohorts (MONA LISA n=1082 and FranceGenRef n=856). Then the explained LDL-c variance and the ability of each PRS to discriminate monogenic negative FH patients (M-) versus healthy controls were compared with 4 previously-described PRS in 785 unrelated FH patients. Between all PRS, the 165-SNP PRS developed with PLINK showed the best LDL-c explained variance (adjusted R²=0.19) and the best diagnosis abilities (AUROC=0.77, 95%CI=0.74-0.79): it significantly outperformed all the previously-published PRS (p<1 × 10 -4 ). By using a cut-off at the 75th percentile, 61% of M- patients exhibited a polygenic hypercholesterolemia with the 165-SNP PRS versus 48% with the previously published 12-SNP PRS (p =3.3 × 10 -6 ). These results were replicated using the UK biobank. This new 165-SNP PRS, usable in routine diagnosis, exhibits better diagnosis abilities for a polygenic hypercholesterolemia diagnosis. It would be a valuable tool to optimize referral for whole genome sequencing., (Copyright © 2022 Elsevier Inc. All rights reserved.)

While nearly all computational methods operate on pseudonymized personal data, re-identification remains a risk. With personal health data, this re-identification risk may be considered a double-crossing of patients' trust. Herein, we present a new method to generate synthetic data of individual granularity while holding on to patients' privacy. Developed for sensitive biomedical data, the method is patient-centric as it uses a local model to generate random new synthetic data, called an "avatar data", for each initial sensitive individual. This method, compared with 2 other synthetic data generation techniques (Synthpop, CT-GAN), is applied to real health data with a clinical trial and a cancer observational study to evaluate the protection it provides while retaining the original statistical information. Compared to Synthpop and CT-GAN, the Avatar method shows a similar level of signal maintenance while allowing to compute additional privacy metrics. In the light of distance-based privacy metrics, each individual produces an avatar simulation that is on average indistinguishable from 12 other generated avatar simulations for the clinical trial and 24 for the observational study. Data transformation using the Avatar method both preserves, the evaluation of the treatment's effectiveness with similar hazard ratios for the clinical trial (original HR = 0.49 [95% CI, 0.39-0.63] vs. avatar HR = 0.40 [95% CI, 0.31-0.52]) and the classification properties for the observational study (original AUC = 99.46 (s.e. 0.25) vs. avatar AUC = 99.84 (s.e. 0.12)). Once validated by privacy metrics, anonymous synthetic data enable the creation of value from sensitive pseudonymized data analyses by tackling the risk of a privacy breach., (© 2023. The Author(s).)