Serum myeloperoxidase, paraoxonase, and plasma asprosin concentrations in patients with acute myocardial infarction.

Introduction: The objective of this study was to evaluate the usefulness of the serum biomarkers myeloperoxidase (MPO), paraoxonase (PON), and plasma asprosin in acute myocardial infarction (AMI) diagnosis and assess their compatibility with routinely screened cardiac biomarkers. Methods: This study was conducted using a prospective cross-sectional design and included 90 patients, consisting of 60 patients diagnosed with AMI (30 with ST-segment elevation and 30 with non-ST-segment elevation on ECG) and 30 controls (without a diagnosis of AMI). Changes in the levels of cardiac biomarkers (Hs-cTnI, CK, CK-MB), lipid profile (TC, TG, LDL, HDL), MPO, PON, asprosin, and routine biochemical parameters of patients were evaluated. Furthermore, receiver operating characteristic curve analysis revealed the diagnostic value of Hs-cTnI, MPO, PON, and asprosin in predicting AMI. Binary logistic regression analysis of cardiac marker concentrations was used to predict the presence of AMI. In contrast, multinomial logistic regression analysis was conducted to predict the type of AMI and the control group. Results: The median levels of MPO and plasma asprosin were found to be higher in the patient group (3.22 [interquartile range {IQR}: 2.4-4.4] ng/ml and 10.84 [IQR: 8.8-17.8] ng/ml, respectively) than in the control group (2.49 [IQR: 1.9-2.9] ng/ml and 4.82 [IQR: 4.6-8.0] ng/ml, respectively) (p = 0.001 and p < 0.001, respectively). The median levels of PON were 8.94 (IQR: 7.6-10.4) ng/ml in the patient group and 10.44 (IQR: 9.1-20.0) ng/ml in the control group (p < 0.001). In the binary logistic regression model, compared with the control group, a 1 ng/ml increase in MPO level increased the odds of having AMI by 3.61 (p = 0.041, 95% CI: 1.055-12.397), whereas a 1 ng/ml increase in asprosin level increased the odds of having AMI by 2.33 (p < 0.001, 95% CI: 1.479-3.683). In the multinominal logistic regression model, compared with the control group, a 1 ng/ml increase in the MPO level increased the odds of having NSTEMI by 4.14 (p = 0.025, 95% CI: 1.195-14.350), whereas a 1 ng/ml increase in asprosin concentrations increased the odds of having NSTEMI by 2.35 (p < 0.001, 95% CI: 1.494-3.721). Conclusion: Herein, MPO and asprosin concentrations increased with Hs-cTnI, and a decrease in PON concentration indicated that oxidant-antioxidant parameters and adipokines were related to AMI pathogenesis.

The effect of N95 respirators on vital parameters, PETCO2, among healthcare providers at the pandemic clinics.

BACKGROUND: Wearing face shields and masks, which used to have very limited public use before the COVID-19 outbreak, has been highly recommended by organizations, such as CDC and WHO, during this pandemic period. AIMS: The aim of this prospective study is to scrutinize the dynamic changes in vital parameters, change in end tidal CO2 (PETCO2) levels, the relationship of these changes with taking a break, and the subjective complaints caused by respiratory protection, while healthcare providers are performing their duties with the N95 mask. METHODS: The prospective cohort included 54 healthcare workers (doctors, nurses, paramedics) who worked in the respiratory unit of the emergency department (ED) and performed their duties by wearing valved N95 masks and face shields. The vital parameters and PETCO2 levels were measured at 0-4th-5th and 9th hours of the work-shift. RESULTS: Only the decrease in diastolic BP between 0 and 9 h was statistically significant (p = 0.038). Besides, mean arterial pressure (MAP) values indicated a significant decrease between 0-9 h and 5-9 h (p = 0.024 and p = 0.049, respectively). In terms of the vital parameters of the subjects working with and without breaks, only PETCO2 levels of those working uninterruptedly increased significantly at the 4th hour in comparison to the beginning-of-shift baseline levels (p = 0.003). CONCLUSION: Although the decrease in systolic blood pressure (SBP) and MAP values is assumed to be caused by increased fatigue due to workload and work pace as well as increase in muscle activity, the increase in PETCO2 levels in the ED healthcare staff working with no breaks between 0 and 4 h should be noted in terms of PPE-induced hypoventilation.

Galectin-3 as a Potential Prognostic Biomarker for COVID-19 Disease: A Case-Control Study.

Background Recent studies have investigated the importance of Galetin-3 in inflammation, fibrosis, cell proliferation, cardiac disease, diabetes, and tumor formation. Aims This study aims to investigate the role of the Galectin-3 level in the diagnosis of COVID-19 pneumonia and the value of the Galectin-3 level in predicting the clinical course of the patient. Methods This study employed a prospective, case-control study design and was conducted at Bakircay University Cigli Training and Research Hospital. A total of 100 patients (40 had moderate and 60 had severe/critical COVID-19 disease according to World Health Organisation guidelines) and 50 non-symptomatic 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, Galectin-3 levels were evaluated using the enzyme-linked immunosorbent assay (ELISA) method.  Results The serum Galectin-3 level was measured as 13.57 (10.9-16.4) ng/mL in the control group, 13.52 (10.69-16.6) ng/mL in the moderate disease group, and 11.65 (6.09-14.33) ng/mL in the severe/critical disease group. Serum Galectin-3 levels were significantly lower in the severe/critical disease group compared to the control and moderate disease groups (p=0.001 and p=0.019, respectively). Using ROC analysis, a larger area under the curve (AUC) for the serum Galectin-3 levels of the control group (AUC=0.622, 95% CI =0.529-0.714; p=0.015) was calculated compared to the COVID-19 patient group for the diagnosis of COVID-19 disease. The Galectin-3 level was found to be 75% sensitive and 50% specific at a cut-off level of 11.3 ng/mL in predicting the need for ICU treatment. Conclusion Galectin-3 levels may be a beneficial biomarker in predicting the clinical severity of COVID-19 disease when used in conjunction with other known biomarkers, at the time of admission to the emergency department (ED).

Annexin A1 as a potential prognostic biomarker for COVID-19 disease: Case-control study.

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.

Soluble P-selectin as a potential diagnostic and prognostic biomarker for COVID-19 disease: A case-control study.

INTRODUCTION: To our knowledge, the diagnostic value of the sP-Selectin level in the diagnosis of COVID-19 disease has not yet been investigated. In this study, we aimed to assess this by evaluating the relationship between sP-Selectin level and the clinical severity of COVID-19 infections. METHODS: A total of 80 patients (50 with mild to moderate and 30 with severe COVID-19 pneumonia), and 60 non-symptomatic healthy volunteers participated in the study. Following serum isolation, sP-Selectin levels were assessed by Enzyme-Linked Immunosorbent Assay (ELISA) method. RESULTS: The serum sP-Selectin level was 1.7 ng/ml in the control group (1-3.78); 6.24 ng/ml (5.14-7.23) in mild-to-moderate pneumonia group; and 6.72 ng/ml (5.36-8.03) in the severe pneumonia group. Serum sP-Selectin levels in both mild-to-moderate pneumonia and severe pneumonia groups were found to be higher than the control group, with statistical significance (p = 0.0001 and p = 0.0001, respectively). Receiver operating characteristic analysis (ROC) showed greater area under the curve (AUC) for the serum sP-Selectin levels of the COVID-19 patients (AUC = 0.913, 95% CI = 0.857-0.969; p = 0.0001). The serum sP-Selectin level was found to be 97.5% sensitive and 80% specific at 4.125 ng/ml level for diagnosis (p = 0.0001). The serum sP-Selectin level was found to be 76.9% sensitive and 51.9% specific at the level of 6.12 ng/ml (p = 0.005) to predict the need for intensive care treatment. CONCLUSION: This study showed that sP-Selectin can be used as a valuable biomarker in both diagnosing and predicting the need for intensive care treatment of COVID-19 infection.

Use of WhatsApp for Polyclinic Consultation of Suspected Patients With COVID-19: Retrospective Case Control Study.

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<.001). Among the consulted and discharged patients, 1 patient in each group tested positive for SARS-CoV-2 by polymerase chain reaction test and thus was readmitted and hospitalized (P=.62). The median length of stay of the inpatients in the ED was found to be 116.5 minutes (IQR 85.5-145.5) in the WhatsApp group and 132 minutes (IQR 102-168) in the bedside group. The statistical analysis of this time difference revealed that the length of stay in the ED was significantly shorter for patients in the WhatsApp group than in the bedside group (P=.04). 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.

Injury and illness among athletes during a multi-day elite cycling road race.

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 8 days and covered 1258 km 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 1000 hours 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.