Proposing the potential of utilizing the CAT score for early detection of COPD in asymptomatic patients, shifting towards a patient-centered approach: A review.

Chronic obstructive pulmonary disease (COPD) constitutes a significant public health challenge, with delayed diagnosis and underdiagnosis being pervasive issues. The United States Preventive Service Task Force recommends restricting COPD screening to symptomatic smokers, a focus that has exhibited limitations, leading to delayed diagnoses, and imposing a substantial burden on patients, their families, and the healthcare system. This paper explores an alternative approach, highlighting the potential utility of the COPD assessment test (CAT) score as a prescreening tool. A CAT score of 10 or higher could serve as an appropriate threshold for further diagnostic procedures, given its robust correlation with pulmonary function test parameters and is valuable capacity to quantify patients' symptoms. The utilization of CAT as a prescreening tool in primary care signifies a transition towards a more patient-centered and comprehensive approach to COPD diagnosis and care.

A qualitative report on experiences of participants in the young innovative leadership program.

BACKGROUND: Leadership in health system is a universal challenge. The Young Innovative Leadership Program (YILP) designed for undergraduate and postgraduate medical sciences students, implemented at the Isfahan University of Medical Sciences, aimed to cultivate leadership capacities through a 16-week training program. This program comprises ten modules covering innovation, change leadership, and management skills, with mentor-facilitated group discussions. This study aimed to provide a qualitative report of the experiences of participants in the YILP. METHODS: A qualitative study was conducted in 2022, three months after the end of the training program, to investigate the participants' perspectives. Data was extracted through in-depth, semi-structured interviews with 14 participants. RESULTS: In this study 14 undergraduate and postgraduate medical sciences students who had participated in the YILP the previous year were included. Four main categories emerged from the interviews: "emergence of new horizons", "values as beacon", "an expanded toolbox", and "program's structure: a learning atmosphere". CONCLUSIONS: The results of our study indicated that medical science students would benefit from leadership development programs. In this regard, the framework utilized to implement YILP could serve as a role model.

Risk of 30-Day All-Cause Readmission in Interstitial Lung Disease Patients after COVID-19: National-Level Data.

Rationale: Hospital readmission within 30 days poses challenges for healthcare providers, policymakers, and patients because of its impact on care quality, costs, and outcomes. Patients with interstitial lung disease (ILD) are particularly affected by readmission, which is associated with increased morbidity and mortality and reduced quality of life. Because small sample sizes have hindered previous studies, this study seeks to address this gap in knowledge by examining a large-scale dataset. Objective: To determine the rate and probability of 30-day all-cause readmission and secondary outcomes in patients with coronavirus disease (COVID-19) or ILD admitted to the hospital. Methods: This study is a nested cohort study that used the PearlDiver patient records database. Adult patients (age ⩾18 yr) who were admitted to hospitals in 28 states in the United States with COVID-19 or ILD diagnoses were included. We defined and analyzed two separate cohorts in this study. The first cohort consisted of patients with COVID-19 and was later divided into two groups with or without a history of ILD. The second cohort consisted of patients with ILD and was later divided into groups with COVID-19 or with a non-COVID-19 pneumonia diagnosis at admission. We also studied two other subcohorts of patients with and without idiopathic pulmonary fibrosis within the second cohort. Propensity score matching was employed to match confounders between groups. The Kaplan-Meier log rank test was applied to compare the probabilities of outcomes. Results: We assessed the data of 2,286,775 patients with COVID-19 and 118,892 patients with ILD. We found that patients with COVID-19 with preexisting ILD had an odds ratio of 1.6 for 30-day all-cause readmission. Similarly, an odds ratio of 2.42 in readmission rates was observed among hospitalized individuals with ILD who contracted COVID-19 compared with those who were hospitalized for non-COVID-19 pneumonia. Our study also found a significantly higher probability of intensive care admission among patients in both cohorts. Conclusions: Patients with ILD face heightened rates of hospital readmissions, particularly when ILD is combined with COVID-19, resulting in adverse outcomes such as decreased quality of life and increased healthcare expenses. It is imperative to prioritize preventive measures against COVID-19 and establish effective postdischarge care strategies for patients with ILD.

Remdesivir Prescription in Pregnant Women Infected with COVID-19: A Report of Compassionate Use.

Background: Coronavirus disease 2019 (COVID-19) is an infectious disease that the physiological changes in pregnancy can make pregnant patients more susceptible to more severe forms of this infection. Hence, the treatment of COVID-19 in pregnant women can be challenging. This study was designed to evaluate the safety and efficacy of Remdesivir in pregnant women with COVID-19. Materials and Methods: This study was conducted on 150 pregnant women with moderate to severe COVID-19 infection. Remdesivir was prescribed and continued for 5 or 10 days according to the patient's condition. Maternal and pregnancy outcomes and also recovery rates were evaluated. Moreover, additional variables were examined: age, gestational age, symptoms, O2 saturation and laboratory tests at admission, the interval between symptom initiation and admission to hospital and Remdesivir prescription, hospitalization days, and ICU admission. Results: The mean age was 32.37 years. Cough and dyspnea were the most prevalent symptoms (74% and 68.7%, respectively). At the time of admission, 79 (52.7%) women needed low-flow oxygen support, 67 (44.7%) needed high-flow oxygen support, and 4 (2.7%) were intubated. Fifty-four (36%) patients required ICU care. In patients who died (12 women), Remdesivir was prescribed later than those discharged (P value, 0.04). Patients with favorable pregnancy outcomes received Remdesivir earlier than those with unfavorable pregnancy outcomes (P value: 0.008). The recovery rate was 70% (89.9% in the low-flow oxygen, 50.7% in the NIPPV/high flow oxygen, and 0% in the intubated women). Conclusion: The results suggest that the early prescription of Remdesivir in pregnant women with moderate COVID-19 can improve the outcomes.

Steroid in the Treatment of Outpatient COVID-19: A Multicenter Randomized Controlled Trial.

Background: Early treatment of COVID-19 patients could reduce hospitalization and death. The effect of corticosteroids in the outpatient setting is still unknown. This study aimed to determine the effect of corticosteroids in the prevention of hospitalization of nonsevere cases. Materials and Methods: This study is a multicenter randomized controlled trial. Seventy five nonsevere COVID-19 patients presented between days 7 and 14 of their symptoms received either prednisolone or placebo. The primary outcome was hospitalization. The study protocol was registered in the Iranian Registry of Clinical Trials on December 2, 2020 (IRCT20171219037964N2). Results: Although the rate of hospitalization in the prednisolone group was higher than the placebo group (10.8% vs. 7.9%, respectively), it was not statistically significant (P value.,6). One patient in each group reported an adverse event and withdrew the medication. Conclusion: Considering the null effect of corticosteroids in the prevention of hospitalization in outpatient settings, it is suggested not to consider corticosteroids for outpatient treatment.

Favipiravir in the Treatment of Outpatient COVID-19: A Multicenter, Randomized, Triple-Blind, Placebo-Controlled Clinical Trial.

BACKGROUND: Finding effective outpatient treatments to prevent COVID-19 progression and hospitalization is necessary and is helpful in managing limited hospital resources. Repurposing previously existing treatments is highly desirable. In this study, we evaluate the efficacy of Favipiravir in the prevention of hospitalization in symptomatic COVID-19 patients who were not eligible for hospitalization. METHODS: This study was a triple-blind randomized controlled trial conducted between 5 December 2020 and 31 March 2021 in three outpatient centers in Isfahan, Iran. Patients in the intervention group received Favipiravir 1600 mg daily for five days, and the control group received a placebo. Our primary outcome was the proportion of hospitalized participants from day 0 to day 28. The outcome was assessed on days 3, 7, 14, 21, and 28 through phone calls. RESULTS: Seventy-seven patients were randomly allocated to Favipiravir and placebo groups. There was no significant difference between groups considering baseline characteristics. During the study period, 10.5% of patients in the Favipiravir group and 5.1% of patients in the placebo group were hospitalized, but there was no significant difference between them (p-value = 0.3). No adverse event was reported in the treatment group. CONCLUSIONS: Our study shows that Favipiravir did not reduce the hospitalization rate of mild to moderate COVID-19 patients in outpatient settings.

Effect of one-shot cognitive behavioral therapy on insomnia and heart rate variability of health care workers at the time of COVID-19 pandemic: a randomized controlled trial.

OBJECTIVES: The emergence of sleep disturbances in response to major stressful events has been previously documented. Heart rate variability (HRV) is an objective marker that provides insight into autonomic nervous system dynamics. The aim of the present study was to examine the preliminary effectiveness of a one-shot session of cognitive behavioral therapy for insomnia (CBT-I) for frontline healthcare providers with acute insomnia. METHODS: This study was conducted from 2020 to 2021 on healthcare workers with insomnia. The healthcare workers were randomly allocated to receive either one-shot cognitive behavioral therapy or routine care. Insomnia severity index (ISI) and heart rate variability were assessed before and 1 month after the interventions. RESULTS: Among 57 patients (n = 31 in the intervention group and n = 26 in the control group), mean (± SD) age of both groups were 34.6 (± 9.5) and 36.6 (± 6.9), respectively. Most participants in both groups were female (81% and 65% in the intervention and control groups, respectively; p-value = 0.10). Insomnia severity index score decreased in the intervention group from 13.3 to 6.7 (p < 0.001). The change before and after the intervention was significant between the two groups for HF-normalized unit (high-frequency power band [0.15-0.40 Hz] in the normalized unit) and LF/HF (the ratio of low frequency to high frequency). HF-normalized unit increased in the intervention group (35.8 ± 21.5 vs. 45.6 ± 19.8 before and after the intervention, respectively), and decreased in the control group (43.9 ± 16.5 vs. 39.8 ± 18.5, before and after the intervention, respectively). CONCLUSION: The findings suggest that a single-shot session of cognitive behavioral therapy for insomnia is effective in managing acute insomnia symptoms in healthcare workers.

Mental Health of Healthcare Workers During the Third Wave of the COVID-19 Pandemic: Did We Forget them after the First Wave?

Background: Since December 2019, countries experienced different numbers of COVID-19 pandemic waves. The COVID-19 pandemic led to adverse psychologic problems in the communities and among healthcare workers (HCWs), but the dynamic of these problems through different waves needs to be established more. Materials and Methods: This cross-sectional study was conducted in October 2020, through the third wave of the COVID-19 pandemic, in Isfahan, Iran. We studied HCWs' depression, anxiety, and stress using Depression, Anxiety, Stress Scale-21 (DASS-21) and insomnia using Insomnia Severity Index (ISI) questionnaires. Multiple linear regression was used to evaluate the association of some characteristic factors with different psychologic symptoms. Results: Our results showed that about 80% of HCWs had one or more psychological problems. The prevalence of depression, anxiety, stress, and insomnia was 46.0%, 50.2%, 44.6%, and 66.5%, respectively. Female sex, working in ICU, and having a history of chronic disease were predictors of psychological symptoms in our participants. Conclusion: HCWs' mental health state could be underestimated or neglected. The third pandemic wave negatively affected the mental health of the HCWs. Since mental health problems of HCWs may reduce the quality of care, the potential impact of not addressing this issue should be highlighted.

The Iranian Corona Stress Study: Psychological Impacts of COVID-19 Pandemic in an Iranian Population.

Background: To assess the psychological consequences of changes during the coronavirus 2019 (COVID-19) pandemic in the Iranian population. Methods: We performed an anonymous online survey in the first 3 weeks of March 2020. Individuals older than 14 who could read Persian, and lived in Iran, were eligible for the study. The participants had to rate their stress levels and depressive symptoms (using a nine-item Patient Health Questionnaire PHQ-9) during the last 2 weeks and before the pandemic retrospectively. The changes in the psychological measurements and their association with the sociodemographic factors and burdens due to confinement were assessed. Results: Overall, among the 3,210 subjects who participated in our study, both the stress levels and average depression scores increased. However, about 23% of the subjects reported a decrease in their stress levels. The burden of childcare, restrictions in private life, and thoughts about the future were positively correlated with the changes in the stress levels and depression scores (|r| > 0.15). However, feeling relieved in the pandemic condition, and enjoying more family time were associated with less change in the stress and depression scores. Being religious (odds ratio [OR] [CI]: 1.5 [1.3-1-8]) and older age (OR [CI]: 2.9 [1.8-4.6] for >55 years old) were identified as the resilience factors, whereas being a student (OR [CI]: 2.1 [1.6;2.7]), seeking a job (OR [CI]: 2.6 [1.8;3.9]), and history of a psychiatric disorder (OR [CI]: 3.2 [2.6;4]) were identified as the risk factors for depression. Conclusions: The stress levels and depressive symptoms have increased during the COVID-19 pandemic and this increase is related to different social and personal burdens due to the confinement conditions.

Importance of the COVID-19 Vaccine Booster Dose in Protection and Immunity.

BACKGROUND: There is debate on the necessity of booster doses of COVID-19 vaccination, especially in countries with limited resources. METHODS: This cross-sectional study was conducted in a referral laboratory in Tehran, Iran. The level of COVID-19 antibodies was measured and compared between individuals regarding the number of COVID-19 vaccine shots. RESULTS: In this study, 176 individuals with a mean age of 36.3 (±11.7) years participated. A total of 112 individuals received two doses of the COVID-19 vaccine, and 64 individuals received three doses. Level of all antibodies was higher in those who received three doses than in those who received two doses of the COVID-19 vaccine. Considering the SARS-CoV-2 Spike IgG, the difference was not statistically significant but for the SARS-CoV-2 RBD IgG and SARS-CoV-2 NAB the difference was statistically significant. Regarding to the background variables, receiving influenza vaccine in the past year, history of autoimmune diseases and past medical history of chicken pox showed a significant association with the number of vaccine doses received. Their effects on the outcome variables assessed with multivariate logistic regression analysis. CONCLUSION: The results of our study show that a booster dose of the COVID-19 vaccine enhances the antibody response.

The Seroprevalence and Seropositivity of SARS-CoV-2 among Healthcare Workers during the Third Pandemic Wave.

BACKGROUND: Due to the unclear protective role of produced antibodies and the need for seroepidemiologic studies, we surveyed the COVID-19 seroprevalence among healthcare professionals who had direct or indirect contact with COVID-19 patients. METHODS: From 19 October 2020 to 17 February 2021, 300 healthcare workers were enrolled and tested for serum antibodies in this prospective cohort study. Demographic information, risk factors, and infection history were collected. Anti- SARS-CoV-2 IgG and IgM antibody titers were determined to estimate the seroconversion rate. RESULTS: During the first and second phases of the study, the positive seroconversion rates were 31.7 and 26.6%, respectively. In seronegative individuals, sixteen (10.6%) new cases of COVID-19 and five (6.3%) reinfections were identified. Among those with a positive antibody level, forty-one (36.9%) healthcare workers reported no symptoms in the preceding months. There was no association between occupational exposure and an increased probability of seroconversion. CONCLUSIONS: The seropositivity rate and the rate of asymptomatic individuals with seroconversion was remarkable and could be an indicator of a high infection rate among healthcare workers.

Red Blood Cell Distribution Width (RDW) as a Predictor of In-Hospital Mortality in COVID-19 Patients; a Cross Sectional Study.

INTRODUCTION: Red blood cell distribution width (RDW) has been introduced as a predictive factor for mortality in several critical illnesses and infectious diseases. This study aimed to assess the possible relationship between RDW on admission and COVID-19 in-hospital mortality. METHOD: This cross-sectional study was performed using the Isfahan COVID-19 registry. Adult confirmed cases of COVID-19 admitted to four hospitals affiliated with Isfahan University of Medical Sciences in Iran were included. Age, sex, O2 saturation, RDW on admission, Intensive Care Unit admission, laboratory data, history of comorbidities, and hospital outcome were extracted from the registry. Cox proportional hazard regression was used to study the independent association of RDW with mortality. RESULTS: 4152 patients with the mean age of 61.1 ± 16.97 years were included (56.2% male). 597 (14.4%) cases were admitted to intensive care unit (ICU) and 477 (11.5%) cases died. The mortality rate of patients with normal and elevated RDW was 7.8% and 21.2%, respectively (OR= 3.1, 95%CI: 2.6-3.8), which remained statistically significant after adjusting for age, O2 saturation, comorbidities, and ICU admission (2.03, 95% CI: 1.68-2.44). Moreover, elevated RDW mortality Hazard Ratio in patients who were not admitted to ICU was higher than ICU-admitted patients (3.10, 95% CI: 2.35-4.09 vs. 1.47, 95% CI: 1.15-1.88, respectively). CONCLUSION: The results support the presence of an association between elevated RDW and mortality in patients with COVID-19, especially those who were not admitted to ICU. It seems that elevated RDW can be used as a predictor of mortality in COVID-19 cases.

Psychological impact of COVID-19 on health-care workers: A multicenter cross-sectional study.

BACKGROUND: Health-care workers (HCWs) as frontline soldiers are involved in the war against COVID-19. Not only their protection from COVID-19 is important but also their mental health is a concern. This study aimed to measure the psychological distress among HCWs in the time of COVID-19 in Isfahan, Iran. MATERIALS AND METHODS: A cross-sectional study was conducted in the 2nd month of the spread of COVID-19 in Isfahan, Iran (March 16 to April 3). A total of 321 HCWs participated in an online survey and answered the General Health Questionnaire, the Insomnia Severity Index, and the Medical Outcomes Study Social Support Survey. t-test and ANOVA were used for comparing variables between groups. Multiple linear regression was used to evaluate the predictive factors of psychological distress. RESULTS: About 34% of our HCWs suffer from some levels of psychological distress. The result of multiple linear regression (R 2: 0.41) shows that the predictive variables with the highest value were insomnia, working as a medical resident, and lack of social support (standardized coefficient of beta: 0.51, 0.25, and 0.16, respectively; P < 0.05). CONCLUSION: The result of our study shows that about one-third of HCWs in COVID-19 special hospitals have some psychological problems. Being a medical resident, suffering from insomnia, and lack of social support are predictive variables.

Blood cell morphology and COVID-19 clinical course, severity, and outcome.

COVID-19 infection affects different organs of the human body, and blood cells are not an exception. Peripheral blood smear (PBS) is a simple and available method to investigate blood cells' morphologic changes. In this study, we aimed to determine the morphologic changes and abnormalities of COVID-19 patients and their relation to the patients' clinical course. In this prospective cross-sectional study, we included 89 PCR-positive COVID-19 patients. A pathologist examined the PBS findings of these patients. The patients' clinical course, including severity, outcome, intubation, and ICU admission, was extracted from their profiles. The statistical analyses were done to find out the relation between PBS findings and patients' clinical course. Results showed that smudge cells are the most frequent abnormality in our participants. Other findings were schistocyte; atypical lymphocytes; and increased large granular lymphocytes, shift to left of granulocytes, giant platelets, and leukoerythroblastic reaction. Our results did not show any statistically significant relationship between PBS findings and their clinical course. Although other studies suggested PBS as a possible predictive tool for COVID-19 disease, our study showed that these findings could not predict nor relate to the patients' clinical course. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12308-021-00459-3.

COVID-19 in Iran: Forecasting Pandemic Using Deep Learning.

COVID-19 has led to a pandemic, affecting almost all countries in a few months. In this work, we applied selected deep learning models including multilayer perceptron, random forest, and different versions of long short-term memory (LSTM), using three data sources to train the models, including COVID-19 occurrences, basic information like coded country names, and detailed information like population, and area of different countries. The main goal is to forecast the outbreak in nine countries (Iran, Germany, Italy, Japan, Korea, Switzerland, Spain, China, and the USA). The performances of the models are measured using four metrics, including mean average percentage error (MAPE), root mean square error (RMSE), normalized RMSE (NRMSE), and R 2. The best performance was found for a modified version of LSTM, called M-LSTM (winner model), to forecast the future trajectory of the pandemic in the mentioned countries. For this purpose, we collected the data from January 22 till July 30, 2020, for training, and from 1 August 2020 to 31 August 2020, for the testing phase. Through experimental results, the winner model achieved reasonably accurate predictions (MAPE, RMSE, NRMSE, and R 2 are 0.509, 458.12, 0.001624, and 0.99997, respectively). Furthermore, we stopped the training of the model on some dates related to main country actions to investigate the effect of country actions on predictions by the model.

COVID-19 Vaccines Cost-Effectiveness Analysis: A Scenario for Iran.

COVID-19 vaccines are supposed to be critical measure for ending the pandemic. Governments had to decide on the type of vaccine to provide for their population. In this decision-making process, cost-effectiveness analysis is considered a helpful tool. This study is a cost-effectiveness analysis utilized to calculate the incremental cost per averted disability-adjusted life year (DALY) by vaccination compared to no vaccination for different COVID-19 vaccines. The incremental cost-effectiveness ratio (ICER) for a vaccination with COVID-19 vaccines was estimated at 6.2 to 121.2 USD to avert one DALY and 566.8 to 10,957.7 USD per one death. The lowest and highest ICERs belong to Ad26.COV2.S and CoronaVac, respectively. Considering the scenario of Iran, vaccines that are recommended include ad26.cov2.s, chadox1-S, rAd26-S + rAd5-S, and BNT162b2 in the order of recommendation.

Isfahan and Covid-19: Deep spatiotemporal representation.

The coronavirus COVID-19 is affecting 213 countries and territories around the world. Iran was one of the first affected countries by this virus. Isfahan, as the third most populated province of Iran, experienced a noticeable epidemic. The prediction of epidemic size, peak value, and peak time can help policymakers in correct decisions. In this study, deep learning is selected as a powerful tool for forecasting this epidemic in Isfahan. A combination of effective Social Determinant of Health (SDH) and the occurrences of COVID-19 data are used as spatiotemporal input by using time-series information from different locations. Different models are utilized, and the best performance is found to be for a tailored type of long short-term memory (LSTM). This new method incorporates the mutual effect of all classes (confirmed/ death / recovered) in the prediction process. The future trajectory of the outbreak in Isfahan is forecasted with the proposed model. The paper demonstrates the positive effect of adding SDHs in pandemic prediction. Furthermore, the effectiveness of different SDHs is discussed, and the most effective terms are introduced. The method expresses high ability in both short- and long- term forecasting of the outbreak. The model proves that in predicting one class (like the number of confirmed cases), the effect of other accompanying numbers (like death and recovered cases) cannot be ignored. In conclusion, the superiorities of this model (particularity the long term predication ability) turn it into a reliable tool for helping the health decision-makers.

Adherence of General Practitioners to the National Hypertension Guideline, Isfahan, Iran.

BACKGROUND: High systolic blood pressure is the leading risk factor for global mortality. Applying effective strategies to control hypertension is a rising concern. Guidelines are approved to be effective in the management of patients with cost-effective interventions. The aim of this study is to evaluate the adherence of family physicians working in Isfahan health centers to the national hypertension guideline, in 2019. METHODS: Using a cross-sectional study, the practice of 43 physicians selected by a multistage sampling method from the perspective of hypertension management was observed in 377 visits. The data gathering form was designed according to the national hypertension guideline. Adherence to the guideline was evaluated by dividing the earned score by the most score one can earn. Data were analyzed using Independent T-test, Pearson correlation and linear regression model. RESULTS: The mean score of adherence to the national hypertension guideline was 33.6 ± 16.42%. There was a significant association between physician's sex, years passed from graduation, type of occupation contract, type of university of education, and attending empowerment class and adherence to the national hypertension guideline. CONCLUSIONS: The results of our study show that family physicians just follow one-third of the recommendations in the national hypertension guideline.

Isfahan COvid-19 REgistry (I-CORE): Design and methodology.

Health authorities usually exploit after-action reports to collect data on their experience in responding to public health emergencies. To develop an effective approach to manage and learning from health emergencies, we have launched Isfahan COvid-19 REgistry for data collection during routine clinical care as a first "critical incident registry" in Iran. Registries can be employed to explain the natural history of the disease, learn about a particular disease in terms of patient outcomes, the cost-effectiveness of clinical management, monitoring the quality of health-care service, and developing research hypotheses.