A novel scoring system for early assessment of the risk of the COVID-19-associated mortality in hospitalized patients: COVID-19 BURDEN.

BACKGROUND: Corona Virus Disease 2019 (COVID-19) presentations range from those similar to the common flu to severe pneumonia resulting in hospitalization with significant morbidity and/or mortality. In this study, we made an attempt to develop a predictive scoring model to improve the early detection of high risk COVID-19 patients by analyzing the clinical features and laboratory data available on admission. METHODS: We retrospectively included 480 consecutive adult patients, aged 21-95, who were admitted to Faghihi Teaching Hospital. Clinical and laboratory features were collected from the medical records and analyzed using multiple logistic regression analysis. The final data analysis was utilized to develop a simple scoring model for the early prediction of mortality in COVID-19 patients. The score given to each associated factor was based on the coefficients of the regression analyses. RESULTS: A novel mortality risk score (COVID-19 BURDEN) was derived, incorporating risk factors identified in this cohort. CRP (> 73.1 mg/L), O2 saturation variation (greater than 90%, 84-90%, and less than 84%), increased PT (> 16.2 s), diastolic blood pressure (≤ 75 mmHg), BUN (> 23 mg/dL), and raised LDH (> 731 U/L) were the features constituting the scoring system. The patients are triaged to the groups of low- (score < 4) and high-risk (score ≥ 4) groups. The area under the curve, sensitivity, and specificity for predicting mortality in patients with a score of ≥ 4 were 0.831, 78.12%, and 70.95%, respectively. CONCLUSIONS: Using this scoring system in COVID-19 patients, the patients with a higher risk of mortality can be identified which will help to reduce hospital care costs and improve its quality and outcome.

Prevalence of Fungal Drug Resistance in COVID-19 Infection: a Global Meta-analysis.

Purpose: Secondary bacterial or fungal infections are one of the most important medical complications among patients with Coronavirus Disease 2019 (COVID-19). The emergence of multidrug-resistant (MDR) candida can cause many problems such as treatment failure, adverse clinical outcomes, and even disease outbreaks. This systematic review and meta-analysis aims to investigate the prevalence and outcomes of fungal drug-resistant in COVID-19 patients. Methods: PubMed, Embase, Scopus, Cochrane Library, and Web of Science databases were searched for peer reviewed-articles published in English up to May 20, 2021. Heterogeneity across studies was evaluated using Cochrane's Q test and the I2 index. The pooled point prevalence and their corresponding 95% confidence intervals (CIs) were considered to estimate the prevalence of fungal drug resistance infection in COVID-19 patients. Results: Eight eligible articles were included in our meta-analysis. The number of COVID-19 patients with fungal co-infection varied from 5 to 35 among selected studies. The overall pooled prevalence of fungal drug resistance among patients with co-infections of fungal and COVID-19 was 69% (95% CI: 37%, 94%) by using a random-effects model. In terms of specific species, the pooled meta-analysis for Candida Auris was estimated to be 100% (95%CI: 98%, 100%; I2 = 0%), for Multi-Candida 59% (95%CI: 38%, 79%; I2 = 12.5%), and for Aspergillus 15% (95%CI: 0%, 42%; I2 = 0%). Conclusion: Our study shows the high prevalence of fungal drug resistance in COVID-19 patients and emphasizes the need to strengthen antimicrobial stewardship programs, close monitoring for treatment failure, and the emergence of resistance upon treatment. Supplementary Information: The online version contains supplementary material available at 10.1007/s12281-022-00439-9.

Prevalence of HBV and HCV Infections in Iranian Blood Donors; An Updated Systematic Review and Meta-Analysis.

BACKGROUND Awareness of the prevalence of hepatitis B (HBV) and hepatitis C virus (HCV) infections, as blood transmitted infections, among blood donors can help policymakers improve the guidelines, share experiences, and estimate the blood safety over the country and in the region. We aimed to determine the prevalence of HBV and HCV infection in Iranian blood donors based on the present published literature. METHODS A meta-analysis was carried out based on the results of an electronic literature search in the international and national databases for all articles published until October 2020. We selected studies that had appropriate sampling and valid statistical analysis as well as proper measurement methods. The heterogenic indices of the studies were determined using Cochran's (Q) and I-square (I2) tests. According to the heterogeneity results, a fixed or random-effects model was implemented to estimate the pooled prevalence of HBV and HCV. Meta-regression was conducted to explore the suspected sources of heterogeneity. RESULTS We included 61 and 58 eligible studies related to HBV and HCV, respectively. The pooled prevalence of HBV was 0.57% (95% confidence interval (CI): 0.47 - 0.67, I2: 99.9%) among the blood donors. The range of prevalence rates of HBV was between 0.10% and 2.34% in different areas of Iran. The pooled prevalence of HCV was 0.22% (95% CI: 0.20 - 0.24, I2: 98.64%) in blood donors, which varied between 0.02% and 1.09% in separate locations. Subgroup and meta-regression analyses revealed that the year of publication, geographical location, and quality of the studies probably generated the heterogeneity. CONCLUSION The prevalence of HBV and HCV decreased steadily in Iranian blood donors during the past two decades. It should be asserted that most of the health policies and safety measures taken in recent years in Iran have been effective and promising.

Predictive Factors in the Incidence of Cirrhosis in Chronic Hepatitis B Virus Infections.

BACKGROUND: Hepatitis B virus (HBV) is among the leading causes of liver cirrhosis worldwide. Predictors of cirrhosis in Iranian chronic hepatitis B (CHB) patients are yet to be clearly identified. OBJECTIVES: Evaluating the predictive factors of liver cirrhosis in CHB. PATIENTS AND METHODS: A longitudinal study was conducted during 1995 - 2014 on all CHB patients who were referred to Tehran hepatitis center, Tehran, Iran. The patients were assessed during periodic visits through medical history and laboratory data. Logistic regression analyses were used to determine predictors of cirrhosis. RESULTS: Two hundred thirty-seven CHB patients were followed for an average duration of 10.6 years, and 41 of these patients developed cirrhosis. The incidence rate of cirrhosis was 2.82/100 person-years. Univariate analyses determined 9 out of 17 factors as significant predictors of outcome in CHB patients. Age of ≥ 45 years, positive hepatitis D virus (HDV), negative HBeAg, platelet count of < 150 (× 10(9))/L, and HBV DNA level of ≥ 2,000 IU/mL were identified as significant independent predictors of liver cirrhosis in multiple logistic analyses. CONCLUSIONS: Five predictive factors that are simple and easy to measure may be used as parameters for the prediction of liver cirrhosis in CHB patients.

Spatial modeling of colonic lesions with geographic information systems.

BACKGROUND: Geographic information system (GIS) software has been used in health care systems to display and analyze spatial pattern of diseases and health services. OBJECTIVES: This study was performed to assess spatial patterns of colon's pathologic lesions based on the pathologic reports and assess whether it is possible to use GIS software in health services. PATIENTS AND METHODS: Archives of pathology of Namazi and Faghihi hospitals, two main referral centers of south-west of Iran, were obtained and reviewed between January 2009 and September 2011 for biopsy reports of patients who underwent colonoscopy. Abnormal biopsies were categorized into five different subgroups according to the type of pathologic specimens. By GIS, spatial patterns of colon biopsies were plotted in different maps and spatial auto-correlation of colon biopsies was calculated using the Moran's Index. RESULTS: A total of 4815 biopsies from 2663 different patients were reviewed, 53.8% of which were men. Abnormal biopsies were 2781 of all specimens (57.8%). Neoplastic lesions, inflammatory bowel diseases and polyps were 9.3%, 19.3% and 29.2% of total biopsies, respectively. Pathologic biopsies were more common in the distal colon. Maps of all biopsies and maps of specific pathologies were manifested in GIS. CONCLUSIONS: Our study showed that left-sided lesions are still more common in the Iranian population. On the other hand, surveying the right side of colon is as important as the distal part, which necessitates total colonoscopy.

Oxytocin has therapeutic effects on cancer, a hypothesis.

Oxytocin (OT) is the first peptide hormone structurally assessed and chemically synthesized in biologically active form. This hormone acts as an important factor in a human reproductive system particularly during pregnancy and lactation in women. So far, different therapeutic roles for OT have been identified as a spectrum from central and peripheral actions on male and female reproductive systems, circulatory system, musculoskeletal system, etc. Some in vitro and in vivo studies also revealed that OT is responsible for bivariate biological functions involved in cancer as following. By activating OT receptor in tumoral cells, OT enacts as a growth regulator, whether activator or inhibitor. Regarding the increase of OT in some conditions such as breastfeeding, exercise, and multiparity, we can relate the effect of these conditions on cancer with OT effects. Based on this hypothesis, we present a review on the effects of this neuropeptide on various types of cancer and also the influence of these conditions on the same cancer.