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Objectives: This study aimed to investigate a potential daily-life concern for patients with diabetes hypoglycemia while driving by (1) estimating their incidence in insulin-treated drivers, (2) determining factors associated with their occurrence, and (3) analyzing patients' behavior regarding prevention of hypoglycemia., Methods: We conducted an observational study from November 2013 to May 2018 in the endocrinology-diabetology-nutrition department of our university hospital. All patients treated for diabetes older than 18 years admitted in the department were eligible. A specific questionnaire assessing attitudes, knowledge, and consequences of hypoglycemia was provided. In this study, only insulin-treated patients who regularly drive were analyzed., Results: On the 233 insulin-treated drivers included, 45 (19%) self-reported at least 1 hypoglycemia while driving in the preceding year. Two factors were significantly associated with their occurrence: type 1 diabetes (odds ratio [OR] = 3.19; 95% confidence interval [CI] = 1.55-6.57) and experiences of asymptomatic hypoglycemia (OR = 2.20; 95% CI = 1.05-4.63). Awareness of the treatment hypoglycemia risk because of information provided by a medical specialist was also but nonsignificantly associated with hypoglycemia while driving (OR = 2.61; 95% CI = 0.86-7.92). Forty-one patients (18%) combined those 3 variables, 20 (49%) of them self-reported hypoglycemia while driving. Thirty-four percent of the patients never carried carbohydrates for hypoglycemia correction. Seventy-six percent do not monitor blood glucose level before driving., Conclusions: Our questionnaire allowed us to highlight that 19% our cohort of insulin-treated drivers declared experiencing hypoglycemia while driving. Risk factors identified and prevention data collected should help us better target patient education., Competing Interests: The authors disclose no conflict of interest., (Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.)

Background and Purpose- We aimed to further investigate the long-term outcomes after reversible cerebral vasoconstriction syndrome (RCVS). Methods- A longitudinal follow-up study was conducted in 173 RCVS patients. Results- Of the 172 patients who completed a mean follow-up of 9.2±3.3 years, 10 had a recurrent RCVS that was benign in all. Independent predictors of relapse were having a history of migraine and having exercise as a trigger for thunderclap headache during initial RCVS. After new delivery, the rate of postpartum RCVS was 9%. Conclusions- Overall, long-term outcome after RCVS is excellent.

Three clinical scales (the Nociception Coma Scale adapted for Intubated patients [NCS-I], its Revised version [NCS-R-I], and the Behavioral Pain Scale [BPS]) and videopupillometry were compared for measuring pain in intubated, noncommunicating, critically ill, brain-injured patients. Pain assessment was performed before, during, just after, and 5 minutes after 3 procedures: the reference non-nociceptive procedure (assessment of the Richmond Agitation Sedation Scale) and 2 nociceptive procedures (turning and tracheal suctioning). The primary endpoint was construct validity (discriminant and criterion validation), determined by comparing pain measurements between different times/procedures. Secondary endpoints were internal consistency, inter-rater reliability, and feasibility. Fifty patients (54% women, median age 63 years [56-68]) were included 13 [7-24] days after brain injury (76% hemorrhagic or ischemic strokes). All tools increased significantly more (P < 0.001) during the nociceptive procedures vs the non-nociceptive procedure. The BPS was the only pain tool that did not increase significantly during the non-nociceptive procedure (P = 0.41), suggesting that it was the most discriminant tool. The BPS, NCS-I, and NCS-R-I were good predictors of nociception with areas under the curves ≥0.96, contrary to videopupillometry (area under the curve = 0.67). The BPS, NCS-I, and NCS-I-R had high inter-rater reliabilities (weighted kappa = 0.86, 0.82 and 0.84, respectively). Internal consistency was moderate (>0.60) for all pain scales. Factor analysis represented a majority of information on a first dimension, with motor domains represented on a second dimension. Scale feasibility was better for the NCS-I and NCS-R-I than for the BPS. In conclusion, the BPS, NCS-I, and NCS-R-I are valid, reliable, and acceptable pain scales for use in intubated critically ill, brain-injured patients, unlike videopupillometry. Future research requires tool design centered on domains of observation adapted to this very specific population.

Geographic variation in admission to the intensive cardiac care unit (ICCU) might question about the efficiency and the equity of the healthcare system. The aim was to explain geographic variation in the rate of admission to ICCU for coronary artery disease (CAD) or heart failure (HF) in France.We conducted a retrospective study based on the French national hospital discharge database. All inpatient stays for CAD or HF with an admission to an ICCU in 2014 were included. We estimated population-based age and sex-standardized ICCU admission rates at the department level. We separately modeled the department-level admission rates for HF and CAD using generalized linear models.In all, 61,010 stays for CAD and 27,828 stays for HF had at least 1 ICCU admission. The ICCU admission rates were explained by the admission rate for CAD, by the diabetes prevalence, by the proportion of the population >75 years, and by the drive time to the ICCU.This work sheds light on the finding of substantial geographic variation in the ICCU admission rates for CAD and HF in France. This variation is explained by both the age and the health status of the population and also by the drive time to the closest ICCU for HF. Moreover, ICCU admission for HF might be more prone to unwarranted variations due to medical practice patterns.