Cost-effectiveness analysis of direct admission to acute geriatric unit versus admission after an emergency department visit for elderly patients.

BACKGROUND: Elderly individuals represent an increasing proportion of emergency department (ED) users. In the Greater Paris University Hospitals (APHP) direct-admission study, direct admission (DA) to an acute geriatric unit (AGU) was associated with a shorter hospital length of stay (LOS), lower post-acute care transfers, and lower risk of an ED return visit in the month following the AGU hospitalization compared with admission after an ED visit. Until now, no economic evaluation of DA has been available. METHODS: We aimed to evaluate the cost-effectiveness of DA to an AGU versus admission after an ED visit in elderly patients. This was conducted alongside the APHP direct-admission study which used electronic medical records and administrative claims data from the Greater Paris University Hospitals (APHP) Health Data Warehouse and involved 19 different AGUs. We included all patients ≥ 75 years old who were admitted to an AGU for more than 24 h between January 1, 2013 and December 31, 2018. The effectiveness criterion was the occurrence of ED return visit in the month following AGU hospitalization. We compared the costs of an AGU stay in the DA versus the ED visit group. The perspective was that of the payer. To characterise and summarize uncertainty, we used a non-parametric bootstrap resampling and constructed cost-effectiveness accessibility curves. RESULTS: At baseline, mean costs per patient were €5113 and €5131 in the DA and ED visit groups, respectively. ED return visit rates were 3.3% (n = 81) in the DA group and 3.9% (n = 160) in the ED group (p = 0.21). After bootstrap, the incremental cost-effectiveness ratio was €-4249 (95%CI= -66,001; +45,547) per ED return visit averted. Acceptability curves showed that DA could be considered a cost-effective intervention at a threshold of €-2405 per ED return visit avoided. CONCLUSION: The results of this cost-effectiveness analysis of DA to an AGU versus admission after an ED visit for elderly patients argues in favor of DA, which could help provide support for public decision making.

Performance of algorithms for identifying patients with chronic hepatitis B or C infection in the french health insurance claims databases using the ANRS CO22 HEPATHER cohort.

The validity of algorithms for identifying patients with chronic hepatitis B or C virus (HBV or HCV) infection in claims databases has been little explored. The performance of 15 algorithms was evaluated. Data from HBV- or HCV-infected patients enrolled between August 2012 and December 2015 in French hepatology centres (ANRS CO22 HEPATHER cohort) were individually linked to the French national health insurance system (SNDS). The SNDS covers 99% of the French population and contains healthcare reimbursement data. Performance metrics were calculated by comparing the viral status established by clinicians with those obtained with the algorithms identifying chronic HBV- and HCV-infected patients. A total of 14 751 patients (29% with chronic HBV and 63% with chronic HCV infection) followed-up until December 2018 were selected. Despite good specificity, the algorithms relying on ICD-10 codes performed poorly. By contrast, the multi-criteria algorithms combining ICD-10 codes, antiviral dispensing, laboratory diagnostic tests (HBV DNA or HCV RNA detection and quantification, HCV genotyping), examinations for the assessment of liver fibrosis and long-term disease registrations were the most effective (sensitivity 0.92, 95% CI, 0.91-0.93 and specificity 0.96, 95% CI, 0.95-0.96 for identifying chronic HBV-infected patients; sensitivity 0.94, 95% CI, 0.94-0.94 and specificity 0.85, 95% CI, 0.84-0.86 for identifying chronic HCV-infected patients). In conclusion, the multi-criteria algorithms perform well in identifying patients with chronic hepatitis B or C infection and can be used to estimate the magnitude of the public health burden associated with hepatitis B and C in France.

Plant and Animal Protein Intakes Largely Explain the Nutritional Quality and Health Value of Diets Higher in Plants: A Path Analysis in French Adults.

Diets higher in plants are associated with lower risks of chronic diseases. However, animal foods, which are rich in protein, are also rich in some important minerals and vitamins. Using data from a representative survey in France (INCA3, n = 1,125), we used path analyses as a mediation-like approach to decipher the importance of plant and animal proteins in the relationship between the plant-based diet index (PDI) and diet quality. We used three types of diet quality scores, namely, nutrient security, positive nutrient adequacy, and long-term mortality risk of four diet-related diseases (i.e., coronary heart disease, stroke, type 2 diabetes, and colorectal cancer). We identified positive and negative mediations, i.e., changes in plant/animal protein intake that are associated with changes in PDI, and favor or limit the association with the diet quality score. The PDI was positively associated with the risk of long-term mortality but not significantly with nutrient adequacy or nutrient security. A positive mediation by plant protein was found for all diet quality scores (specific indirect effects (SIEs) ranging from 0.04 to 0.10 SD). Conversely, the association between PDI and nutrient adequacy (but not nutrient security) was negatively mediated by animal protein intake (SIE: -0.06 SD). In further detailed models, the association between PDI and diet quality was mainly positively mediated by protein foods from the fruit-vegetables-legumes group (0.01 SD for the nutrient security and 0.02 SD for the nutrient adequacy) and whole grains (0.02 SD for the nutrient adequacy). Our data suggest that the positive impact of plant-based diets on diet quality is largely driven by higher intakes of plant protein foods, especially from fruits-vegetables-legumes and whole grains. Conversely, lower animal protein intake tends to limit the positive impact of plant-based diets on overall positive nutrient adequacy but not security. Protein sources appear critical to healthy plant-based diets.

Prediction of drainage effectiveness during endoscopic stenting of malignant hilar strictures: the role of liver volume assessment.

BACKGROUND: The optimal endoscopic approach to the drainage of malignant hilar strictures remains controversial, especially with regard to the extent of desirable drainage and unilateral or bilateral stenting. OBJECTIVE: To identify useful criteria for predicting successful endoscopic drainage. DESIGN AND SETTING: Retrospective 2-center study in the greater Paris area in France. PATIENTS: A total of 107 patients who had undergone endoscopic stenting for hilar tumors Bismuth type II, III, or IV and a set of contemporaneous cross-sectional imaging data available. INTERVENTIONS: The relative volumetry of the 3 main hepatic sectors (left, right anterior, and right posterior) was assessed on CT scans. The liver volume drained was estimated and classified into 1 of 3 classes: less than 30%, 30% to 50%, and more than 50% of the total liver volume. MAIN OUTCOME MEASUREMENTS: The primary outcome was effective drainage, defined as a decrease in the bilirubin level of more than 50% at 30 days after drainage. Secondary outcomes were early cholangitis rate and survival. RESULTS: The main factor associated with drainage effectiveness was a liver volume drained of more than 50% (odds ratio 4.5, P = .001), especially in Bismuth III strictures. Intubating an atrophic sector (<30%) was useless and increased the risk of cholangitis (odds ratio 3.04, P = .01). A drainage > 50% was associated with a longer median survival (119 vs 59 days, P = .005). LIMITATIONS: Heterogeneous population and volume assessment methodology to improve in further prospective studies. CONCLUSION: Draining more than 50% of the liver volume, which frequently requires bilateral stent placement, seems to be an important predictor of drainage effectiveness in malignant, especially Bismuth III, hilar strictures. A pre-ERCP assessment of hepatic volume distribution on cross-sectional imaging may optimize endoscopic procedures.