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Background: Annexin A1 (AnxA1) is an important endogenous glucocoticoid protein that contributes to the suppression of inflammation by limiting the production of neutrophil and pro-inflammatory cytokines. This study aims to determine the clinical predictivity value of blood AnxA1 levels in patients with mild and severe–critical pneumonia induced by COVID-19. Methods: This study employed a prospective, case–control study design and was conducted at Ankara Training and Research hospital between 10 February 2021 and 15 March 2021. A total of 74 patients (42 of whom had moderate and 32 of whom had severe/critical cases of COVID-19 disease according to World Health Organization guidelines) and 50 nonsymptomatic healthy volunteers participated in the study. Blood samples were taken from patients at the time of hospital admission, after which serum was isolated. Following the isolation of serum, AnxA1 levels were evaluated using the enzyme-linked immunosorbent assay method. Results: The serum AnxA1 levels were measured as 25.5 (18.6-38.6) ng/ml in the control group, 21.2 (14.7-32) ng/ml in the moderate disease group, and 14.8 (9.7-26.8) ng/ml in the severe/critical disease group. Serum AnxA1 levels were significantly lower in the severe/critical disease group compared with the control and moderate disease groups (P =.01 and P =.0001, respectively). Using receiver operating characteristic analysis, a larger area under the curve (AUC) for the serum AnxA1 levels of the control group (AUC = 0.715, 95% CI = 0.626-0.803; P =.0001) was calculated compared with the COVID-19 patient group for the diagnosis of COVID-19 disease. The AnxA1 level was found to be 80% sensitive and 54.1% specific at a cut-off level of 18.5 ng/ml for the diagnosis of COVID-19 disease. Moreover, the AnxA1 level was found to be 69.8% sensitive and 58.1% specific at a cut-off level of 17.2 ng/ml in predicting the need for intensive care unit (ICU) treatment. Conclusion: AnxA1 levels may be a beneficial biomarker in the diagnosis of COVID-19 pneumonia and in predicting the need for ICU treatment in patients with COVID-19 pneumonia at the time of admission to the emergency department. © 2021 John Wiley & Sons Ltd

Background Telephones, internet-connected devices (phablets, personal computers), chat platforms, and mobile apps (eg, Skype, Facebook Messenger, WhatsApp) can be exploited for telemedicine applications. WhatsApp and similar apps are also widely used to facilitate clinical communication between physicians. Moreover, WhatsApp is used by emergency department (ED) physicians and consulting physicians to exchange medical information during ED consultations. This platform is regarded as a useful app in the consultation of dermatological and orthopedic cases. Preventing overcrowding in the ED is key to reducing the risk of disease transmission, and teleconsulting practice is thought to be effective in the diagnosis, treatment, and reduction of transmission risk of disease, most notably during the COVID-19 pandemic. Video consultation is highly recommended in some countries on the grounds that it is likely to reduce the risk of transmission. WhatsApp-like apps are among the video consultation platforms that are assumed to reduce the risk of contamination by minimizing patient-physician contact. Objective The aim of this study was to investigate the effects of WhatsApp video consultation on patient admission and discharge times in comparison to bedside consultation in the evaluation of potential patients with COVID-19 visiting a COVID-19 outpatient clinic during the pandemic. Methods Patients who presented to the ED COVID-19 outpatient clinic between March 11 and May 31, 2020, and for whom an infectious disease specialist was consulted (via WhatsApp or at bedside) were included in the study in accordance with the inclusion and exclusion criteria. Eventually, 54 patients whose consultations were performed via WhatsApp and 90 patients whose consultations were performed at bedside were included in our study. Results The median length of stay in the ED of discharged patients amounted to 103 minutes (IQR 85-147.75) in the WhatsApp group and 196 minutes (IQR 141-215) in the bedside group. In this regard, the length of stay in the ED was found to be significantly shorter in the WhatsApp group than in the bedside group (P Conclusions Consultation via WhatsApp reduces both contact time with patients with COVID-19 and the number of medical staff contacting the patients, which contributes greatly to reducing the risk of COVID-19 transmission. WhatsApp consultation may prove useful in clinical decision making as well as in shortening process times. Moreover, it does not result in a decreased accuracy rate. The shortened discharge and hospitalization timespans also decreased the length of stay in the ED, which can have an impact on minimizing ED crowding. Trial Registration ClinicalTrials.gov NCT04645563; https://clinicaltrials.gov/ct2/show/NCT04645563.

Objectives: Although road bicycle races have been held for more than a century, injury and illness patterns during multi-day bicycle events have not been widely studied. The aim of this study was to determine the incidence of injury and illness among riders and describe the medical care interventions provided to participants of cycling road races. Methods: A prospective observational study was conducted on the Presidential Cycling Tour of Turkey, which was held between April 26 and May 3, 2015. The race lasted 8days and covered 1258km of road. There were 166 elite cycling athletes representing 21 teams from various countries. Data collected pertaining to incidents involving injury or illness included the following: type of injury; anatomical location of injury; details of the medical encounter; location of the intervention; treatment provided; medication administered and disposition of the rider. An injury was defined as a physical complaint or observable damage to the body produced by the transfer of energy of the rider. An illness was defined as a physical complaint or presentation not related to injury. Results: The overall incidence (injury and illness) was 5.83 per 1000 cycling hours. (Injury incidence was 2.82 vs illness incidence of 3.01 per 1000hours cycling). A total of 31 incidents occurred. Of these, 15 were injuries, while 16 were complaints of a non-traumatic nature. A total of 43 interventions were made in the 15 cases of injury. The most commonly injured body regions were limbs; the majority of injuries involved the skin and soft tissue. The most common medical intervention was wound care (64% of all interventions). Two riders had to withdraw from the race, and one was hospitalized due to a traumatic pneumothorax. None of the non-traumatic cases resulted in withdrawal from the race. Conclusions: A broad spectrum of illness and injury occurs during elite multi-day road races, ranging from simple skin injuries to serious injuries requiring hospital admission. Most injuries and illnesses are minor; however, medical teams must be prepared to treat life-threatening trauma.