The Prognostic Value of Echocardiographic Findings in Prediction of In-Hospital Mortality of COVID-19 Patients

Introduction: The correlation between echocardiographic findings and the outcome of COVID-19 patients is still under debate. Objective: In the present study it has been endeavored to evaluate the cardiovascular condition of COVID-19 patients using echocardiography and to assess the association of these findings with in-hospital mortality. Methods: In this retrospective cohort study, hospitalized COVID-19 patients from February to July 2020 with at least one echocardiogram were included. Data were extracted from patients’ medical records and the association between echocardiographic findings and in-hospital mortality was assessed using a multivariate model. The findings were reported as relative risk (RR) and 95% confidence interval (95% CI). Results: Data from 102 COVID-19 hospitalized patients were encompassed in the present study (63.7±15.7 mean age; 60.8% male). Thirty patients (29.4%) died during hospitalization. Tricuspid regurgitation (89.2%), mitral valve regurgitation (89.2%), left ventricular (LV) diastolic dysfunction (67.6%), pulmonary valve insufficiency (PI) (45.1%) and LV systolic dysfunction (41.2%) were the most common findings on patients’ echocardiogram. The analyses of data showed that LV systolic (p=0.242) and diastolic (p=0.085) dysfunction was not associated with in-hospital mortality of COVID-19 patients, while the presence of PI (RR=1.85; 95% CI: 1.02 to 3.33; p=0.042) and patients’ age (RR=1.03; 95% CI: 1.01 to 1.08; p=0.009) were the two independent prognostic factors of in-hospital mortality. Conclusions: It seems that LV systolic and diastolic dysfunction was not associated with in-hospital mortality of COVID-19 patients. However, presence and PI and old age are possible prognostic factors of COVID-19 in-hospital mortality. Therefore, using echocardiography might be useful in management of COVID-19

COVID-19 related hospitalization costs; assessment of influencing factors

Objective: Our aim is to assess the effective factors on hospitalization costs of COVID-19 patients. Methods: Data related to clinical characteristics and cost of hospitalized COVID-19 patients from February 2020 until July 2020, in a public teaching hospital in Tehran, Iran was gathered in a retrospective cohort study. The corresponding factors influencing the diagnostic and therapeutic costs were evaluated, using a generalized linear model. Results: The median COVID-19 related diagnostic and therapeutic costs in a public teaching hospital in Iran, for one hospitalized COVID-19 patient was equal to 271.1 US dollars (USD). In patients who were discharged alive from the hospital, the costs increased with patients’ pregnancy (P<0.001), loss of consciousness during hospitalization (P<0.001), a history of drug abuse (P=0.006), history of chronic renal disease (P<0.001), end stage renal disease (P=0.002), history of brain surgery (P=0.001), history of migraine (P=0.001), cardiomegaly (P=0.033) and occurrence of myocardial infarction during hospitalization (P<0.001). In deceased patients, low age P<0.001), history of congenital disease (P=0.024) and development of cardiac dysrhythmias during hospitalization (P=0.044) were related to increase in therapeutic costs. Conclusion: Median diagnostic and therapeutic costs in COVID-19 patients, hospitalized in a public teaching hospital in Iran were 271.1 USD. Hoteling and medications made upmost of the costs. History of cardiovascular disease and new onset episodes of such complications during hospitalization were the most important factors contributing to the increase of therapeutic costs. Moreover, pregnancy, loss of consciousness, and renal diseases are of other independent factors affecting hospitalization costs in COVID-19 patients

The Role of Exercise in the Alleviation of Neuropathic Pain Following Traumatic Spinal Cord Injuries: A Systematic Review and Meta-analysis

OBJECTIVE: The objective of this systematic review and meta-analysis was to assess the efficacy of exercise in neuropathic pain following traumatic spinal cord injuries. METHODS: The search was conducted in MEDLINE, Embase, Scopus, and Web of Science by the end of 2022. Two independent researchers included the articles based on the inclusion and exclusion criteria. A standardized mean difference was calculated for each data and they were pooled to calculate an overall effect size. To assess the heterogeneity between studies, I2 and chi-square tests were utilized. In the case of heterogeneity, meta-regression was performed to identify the potential source. RESULTS: Fifteen preclinical studies were included. Meta-analysis demonstrated that exercise significantly improves mechanical allodynia (standardized mean difference [SMD], -1.59; 95% confidence interval [CI], -2.16 to -1.02; p \u3c 0.001; I2 = 90.37%), thermal hyperalgesia (SMD, 1.95; 95% CI, 0.96-2.94; p \u3c 0.001), and cold allodynia (SMD, -2.92; 95% CI, -4.4 to -1.43; p \u3c 0.001). The improvement in mechanical allodynia is significantly more in animals with a compression model of SCI (meta-regression coefficient, -1.33; 95% CI, -1.84 to -0.57; p \u3c 0.001) and in mild SCI (p \u3c 0.001). Additionally, the improvement was more prominent if the training was started 7 to 8 days postinjury (coefficient, -2.54; 95% CI, -3.85 to -1.23; p \u3c 0.001) and was continued every day (coefficient, -1.99; 95% CI, -3.07 to -0.9; p \u3c 0.001). Likewise, voluntary exercise demonstrated a significantly more effect size (coefficient, -1.45; 95% CI, -2.67 to -0.23; p = 0.02). CONCLUSION: Exercise is effective in the amelioration of neuropathic pain. This effect in mechanical allodynia is more prominent if voluntary, continuous training is initiated in the subacute phase of mild SCI

Electrocardiographic Findings and In-Hospital Mortality of COVID-19 Patients; a Retrospective Cohort Study

Background: Although current evidence points to the possible prognostic value of electrocardiographic (ECG) findings for in-hospital mortality of COVID-19 patients, most of these studies have been performed on a small sample size. In this study, our aim was to investigate the ECG changes as prognostic indicators of in-hospital mortality. Methods: In a retrospective cohort study, the findings of the first and the second ECGs of COVID-19 patients were extracted and changes in the ECGs were examined. Any abnormal finding in the second ECG that wasn’t present in the initial ECG at the time of admission was defined as an ECG change. ECGs were interpreted by a cardiologist and the prognostic value of abnormal ECG findings for in-hospital mortality of COVID-19 patients was evaluated using multivariate analysis and the report of the relative risk (RR). Results: Data of the ECGs recorded at the time of admission were extracted from the files of 893 patients; likewise, the second ECGs could be extracted from the records of 328 patients who had an initial ECG. The presence of sinus tachycardia (RR = 2.342; p <0.001), supraventricular arrhythmia (RR = 1.688; p = 0.001), ventricular arrhythmia (RR = 1.854; p = 0.011), interventricular conduction delays (RR = 1.608; p = 0.009), and abnormal R wave progression (RR = 1.766; p = 0.001) at the time of admission were independent prognostic factors for in-hospital mortality. In the second ECG, sinus tachycardia (RR = 2.222; p <0.001), supraventricular arrhythmia (RR = 1.632; p <0.001), abnormal R wave progression (RR = 2.151; p = 0.009), and abnormal T wave (RR = 1.590; p = 0.001) were also independent prognostic factors of in-hospital mortality. Moreover, by comparing the first and the second ECGs, it was found that the incidence of supraventricular arrhythmia (RR = 1.973; p = 0.005) and ST segment elevation/depression (RR = 2.296; p <0.001) during hospitalization (ECG novel changes) are two independent prognostic factors of in-hospital mortality in COVID-19 patients. Conclusion: Due to the fact that using electrocardiographic data is easy and accessible and it is easy to continuously monitor patients with this tool, ECGs can be useful in identifying high-risk COVID-19 patients for mortality

Efficacy of Irisin on neurological and tissue-related outcomes in ischemic brain injuries; a scoping review

Background: Evidence indicates the protective role of Irisin on nervous tissue following ischemic events, by preventing the cascades of secondary damage. We conducted this scoping review to summarize what has been discovered so far on the neuroprotective effects of Irisin, with a focus on ischemic stroke. Methods: Search strategies were designed based on the keywords related to ischemic stroke and Irisin. Next, an extensive search in Medline, Embase, Scopus, and Web of Science was conducted by the end of April 2022. Two researchers independently reviewed the articles and performed the screening of the selected papers according to the inclusion criteria. Finally, the required data were extracted to a checklist designed based on the PRISMA guideline. The “meta” package was used for the meta-analysis, and heterogeneity between studies was assessed using the I2 test. Results: Pooled data analysis showed that the Irisin administration significantly improved the neurological function following cerebral ischemia / reperfusion injuries (SMD = 3.08; 95% CI: 1.10, 5.06; p<0.0001). Additionally, meta-regression demonstrated that the improvement in neurological function was directly related to the dose of administered Irisin (meta-regression coefficient = 0.03; p = 0.02). Moreover, Irisin administration significantly reduced the volume of infarcted lesions (SMD= -3.14; 95% CI: -4.23, -2.04; p<0.0001), the amount of edema in the brain (SMD= -2.30; 95% CI: -4.07, -0.53; p<0.0001), and the extend of neuronal-cell apoptosis rate (SMD= -4.67; 95% CI: -8.15, -1.19; p<0.0001). Conclusion: The present study demonstrates that the administration of Irisin in animal models of cerebral ischemia / reperfusion injuries is associated with a significant dose-dependent improvement in neurological function. Due to the limited number of articles, more research on the aim of finding the optimum Irisin dosage is in high demand

Efficacy of polyarginine peptides in the treatment of stroke: A systematic review and meta‐analysis

Abstract Background Disparities exist regarding an efficient treatment for stroke. Polyarginines have shown promising neuroprotective properties based on available published studies. Thus, the present study aims to systemically review and analyze existing evidence regarding polyarginine's administration efficacy in animal stroke models. Method Medline, Scopus, Embase, and Web of Science were systematically searched, in addition to manual search. Inclusion criteria were administrating polyarginine peptides in stroke animal models. Exclusion criteria were previous polyarginine administration, lacking a control group, review articles, and case reports. Data were collected and analyzed using STATA 17.0; a pooled standardized mean difference (SMD) with a 95% confidence interval (CI), meta‐regression, and subgroup analyses were presented. Risk of bias, publication bias, and level of evidence were assessed using SYRCLE's tool, Egger's analysis, and Grading of Recommendations Assessment, Development and Evaluation framework, respectively. Results From the 468 searched articles, 11 articles were included. Analyses showed that R18 significantly decreases infarct size (SMD = –0.65; 95% CI: –1.01, –0.29) and brain edema (SMD = –1.90; 95% CI: –3.28, –0.51) and improves neurological outcome (SMD = 0.67; 95% CI: 0.44, 0.91) and functional status (SMD = 0.55; 95% CI: 0.26, 0.85) in stroke animal models. Moreover, R18D significantly decreases infarct size (SMD = –0.75; 95% CI: –1.17, –0.33) and improves neurological outcome (SMD = 0.46; 95% CI: 0.06, 0.86) and functional status (SMD = 0.35; 95% CI: 0.16, 0.54) in stroke models. Conclusion Moderate level of evidence demonstrated that both R18 and R18D administration can significantly improve stroke outcomes in animal stroke models. However, considering the limitations, further pre‐clinical and clinical studies are warranted to substantiate the neuroprotective efficacy of polyarginines for stroke

The Role of Exercise in the Alleviation of Neuropathic Pain Following Traumatic Spinal Cord Injuries: A Systematic Review and Meta-analysis

Objective The objective of this systematic review and meta-analysis was to assess the efficacy of exercise in neuropathic pain following traumatic spinal cord injuries. Methods The search was conducted in MEDLINE, Embase, Scopus, and Web of Science by the end of 2022. Two independent researchers included the articles based on the inclusion and exclusion criteria. A standardized mean difference was calculated for each data and they were pooled to calculate an overall effect size. To assess the heterogeneity between studies, I2 and chi-square tests were utilized. In the case of heterogeneity, meta-regression was performed to identify the potential source. Results Fifteen preclinical studies were included. Meta-analysis demonstrated that exercise significantly improves mechanical allodynia (standardized mean difference [SMD], -1.59; 95% confidence interval [CI], -2.16 to -1.02; p < 0.001; I2 = 90.37%), thermal hyperalgesia (SMD, 1.95; 95% CI, 0.96–2.94; p < 0.001), and cold allodynia (SMD, -2.92; 95% CI, -4.4 to -1.43; p < 0.001). The improvement in mechanical allodynia is significantly more in animals with a compression model of SCI (meta-regression coefficient, -1.33; 95% CI, -1.84 to -0.57; p < 0.001) and in mild SCI (p < 0.001). Additionally, the improvement was more prominent if the training was started 7 to 8 days postinjury (coefficient, -2.54; 95% CI, -3.85 to -1.23; p < 0.001) and was continued every day (coefficient, -1.99; 95% CI, -3.07 to -0.9; p < 0.001). Likewise, voluntary exercise demonstrated a significantly more effect size (coefficient, -1.45; 95% CI, -2.67 to -0.23; p = 0.02). Conclusion Exercise is effective in the amelioration of neuropathic pain. This effect in mechanical allodynia is more prominent if voluntary, continuous training is initiated in the subacute phase of mild SCI