Cycling injuries and alcohol

Background: Most of the cycling accidents that occur in Finland do not end up in the official traffic accident statistics. Thus, there is minimal information on these accidents and their consequences, particularly in cases in which alcohol was involved. The focus of the present study is on cycling accidents and injuries involving alcohol in particular. Methods: Data on patients visiting the emergency department at North Kymi Hospital because of a cycling accident was prospectively collected for two years, from June 1, 2004 to May 31, 2006. Blood alcohol concentration (BAC) was measured on admission with a breath analyser. The severity of the cycling injuries was classified according to the Abbreviated Injury Scale (AIS). Results: A total of 217 cycling accidents occurred. One third of the injured cyclists were involved with alcohol at the time of visiting the hospital. Of these, 85% were males. A blood alcohol concentration of Conclusions: Cyclists involved with alcohol were, in most cases, heavily intoxicated and were not wearing a bicycle helmet. Head injuries were more common among these cyclists than among sober cyclists. As cycling continues to increase, it is important to monitor cycling accidents, improve the accident statistics and heighten awareness of the risks of head injuries when cycling under the influence of alcohol. (c) 2018 Elsevier Ltd. All rights reserved.Peer reviewe

Clinical Prediction of High-Turnover Bone Disease After Kidney Transplantation

Publisher Copyright: © 2021, The Author(s).Bone histomorphometric analysis is the most accurate method for the evaluation of bone turnover, but non-invasive tools are also required. We studied whether bone biomarkers can predict high bone turnover determined by bone histomorphometry after kidney transplantation. We retrospectively evaluated the results of bone biopsy specimens obtained from kidney transplant recipients due to the clinical suspicion of high bone turnover between 2000 and 2015. Bone biomarkers were acquired concurrently. Of 813 kidney transplant recipients, 154 (19%) biopsies were taken at a median of 28 (interquartile range, 18–70) months after engraftment. Of 114 patients included in the statistical analysis, 80 (70%) presented with high bone turnover. Normal or low bone turnover was detected in 34 patients (30%). For discriminating high bone turnover from non-high, alkaline phosphatase, parathyroid hormone, and ionized calcium had the areas under the receiver operating characteristic curve (AUCs) of 0.704, 0.661, and 0.619, respectively. The combination of these markers performed better with an AUC of 0.775. The positive predictive value for high turnover at a predicted probability cutoff of 90% was 95% while the negative predictive value was 35%. This study concurs with previous observations that hyperparathyroidism with or without hypercalcemia does not necessarily imply high bone turnover in kidney transplant recipients. The prediction of high bone turnover can be improved by considering alkaline phosphatase levels, as presented in the logistic regression model. If bone biopsy is not readily available, this model may serve as clinically available tool in recognizing high turnover after engraftment.Peer reviewe

A meta-analysis of previous falls and subsequent fracture risk in cohort studies

NC Harvey acknowledges funding from the UK Medical Research Council (MC_PC_21003; MC_PC_21001). The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services through 75N92021D00001, 75N92021D00002, 75N92021D00003, 75N92021D00004, and 75N92021D00005. Funding for the MrOS USA study comes from the National Institute on Aging (NIA), the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Center for Advancing Translational Sciences (NCATS), and NIH Roadmap for Medical Research under the following grant numbers: U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, and UL1 TR000128. Funding for the SOF study comes from the National Institute on Aging (NIA), and the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), supported by grants (AG05407, AR35582, AG05394, AR35584, and AR35583). Funding for the Health ABC study was from the Intramural research program at the National Institute on Aging under the following contract numbers: NO1-AG-6–2101, NO1-AG-6–2103, and NO1-AG-6–2106.Peer reviewedPostprin

Effects of antidepressants on postmenopausal bone loss - a 5-year longitudinal study from the OSTPRE cohort

BACKGROUND: Osteoporosis and depression are major health problems worldwide. The association between antidepressants, a treatment for depression, and bone health needs more detailed exploration. OBJECTIVE: The present study investigates antidepressant medication use and postmenopausal bone loss over time. METHODS: A total of 1988 women (aged 57-67) participating in the Kuopio Osteoporosis Risk Factor and Prevention Study (OSTPRE) cohort responded to a postal enquiry and had their femoral neck bone mineral density (BMD) measured in 1999 and again in 2004. Data on antidepressant use was obtained from the National Prescription Register. Multiple regression techniques were used to test the associations, before and after adjustment for anthropometric, medical, physical and lifestyle factors. RESULTS: Over the five years of follow-up, 319 (16.0%) women purchased antidepressants. Mean baseline femoral neck BMD for the entire study group was 881mg/cm(2) (SD 123) and mean 5-year bone loss was 6.0mg/cm(2) (SD 4.7). After adjustments, users of tricyclic antidepressants (TCA) had greater annual BMD loss than non-users (-3.6mg/cm(2) vs. -1.1mg/cm(2); P=0.031). Accelerated bone loss was also associated with selective serotonin reuptake inhibitor\u27s (SSRI) use (P=0.001) and use of other antidepressants in a dose-response way, with the latter only among women of low-weight and normal-weight women who had lost weight over the study period. CONCLUSIONS: In conclusion, the use of SSRIs seems to accelerate postmenopausal bone loss in a dose-response manner. Associations between TCA and other antidepressant use and bone loss may also exist. Thus, the possibility of increased risk of osteoporosis should be considered when prescribing antidepressants for postmenopausal women

Near-infrared spectroscopy for mapping of human meniscus biochemical constituents

Abstract Degenerative changes in meniscus are diagnosed during surgery by means of mechanical testing and visual evaluation. This method is qualitative and highly subjective, providing very little information on the internal state of the meniscus. Thus, there is need for novel quantitative methods that can support decision-making during arthroscopic surgery. In this study, we investigate the potential of near-infrared spectroscopy (NIRS) for mapping the biochemical constituents of human meniscus, including water, uronic acid, and hydroxyproline contents. Partial least squares regression models were developed using data from 115 measurement locations of menisci samples extracted from 7 cadavers and 11 surgery patient donors. Model performance was evaluated using an independent test set consisting of 55 measurement locations within a meniscus sample obtained from a separate cadaver. The correlation coefficient of calibration (ρtraining), test set (ρtest), and root-mean-squared error of test set (RMSEP) were as follows: water (ρtraining = 0.61, ρtest = 0.39, and RMSEP = 2.27 percentage points), uronic acid (ρtraining = 0.68, ρtest = 0.69, and RMSEP = 6.09 basis points), and hydroxyproline (ρtraining = 0.84, ρtest = 0.58, and error = 0.54 percentage points). In conclusion, the results suggest that NIRS could enable rapid arthroscopic mapping of changes in meniscus biochemical constituents, thus providing means for quantitative assessment of meniscus degeneration