scholarly journals Epidemiological and Clinical Risk Factors Related to Severe COVID-19 in Iran: A multi-center study

2020 ◽  
Author(s):  
Seyed Mohammad Hashemi-Shahri ◽  
Seyed Mohammad Nasiraldin Tabatabaei ◽  
Alireza Ansari-moghaddam ◽  
Mahdi Mohammadi ◽  
Hassan Okati-Aliabad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Abuse ◽  
Disease Severity ◽  
Underlying Disease ◽  
Severe Condition ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Multi Center Study ◽  
Center Study

Abstract Background Iran was one of the first countries to be affected by COVID-19. Identifying factors associated with severity of COVID-19 is effective in disease management. This study investigated the epidemiological and clinical features and factors associated with severity of COVID-19 in one of the less privileged areas in Iran.Methods In a multi-center study, all patients admitted to hospitals of Zahedan University of Medical Sciences located in southeastern Iran were investigated from February 29 to April 31, 2020. Demographic, epidemiological and clinical data of patients were extracted from medical records. To explore the risk factors associated with severity of COVID-19, bivariate and multivariate logistic regression models were used.Results Among the 413 patients, 55.5% were male and 145 (35.10%) were in a severe condition at admission time. Multivariate analysis showed that the adjusted odds of the disease severity increased in patients with older age (OR 3.51; 95% CI, 2.28-5.40), substance abuse (OR 2.22; 95% CI, 2.05-5.78) and at least one underlying disease (OR 3.45; 95% CI, 1.01-1.32).Conclusions COVID-19 was more severe in older patients, patients with a history of substance abuse, and patients with at least one underlying disease. Understanding the factors affecting the disease severity can help for clinical management of COVID-19, especially in less privileged areas where fewer resources are available.

scholarly journals Epidemiological and Clinical Risk Factors Related to Severe COVID-19 in Iran: A multi-center study

2020 ◽  
Author(s):  
Seyed Mohammad Hashemi-Shahri ◽  
Seyed Mohammad Nasiraldin Tabatabaei ◽  
Alireza Ansari-moghaddam ◽  
Mohammadi ◽  
Hassan Okati-Aliabad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Abuse ◽  
Disease Severity ◽  
Underlying Disease ◽  
Severe Condition ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
History Of ◽  
Multi Center Study

Abstract Background Iran was one of the first countries to be affected by COVID-19. Identifying factors associated with the severity of COVID-19 is useful in disease management. This study investigated the epidemiological and clinical features and factors related to severe COVID-19 in Iran's less-privileged area.MethodsIn a multicenter study, all patients admitted to Zahedan University of Medical Sciences hospitals located in southeastern Iran were investigated from February 29 to April 31, 2020. The demographic, epidemiological, and clinical data of patients were extracted from medical records. To explore the risk factors associated with the severity of COVID-19, bivariate and multivariate logistic regression models were used. ResultsAmong the 413 patients, 55.5% were male, and 145 (35.10%) were in severe condition at admission time. Multivariate analysis showed that the adjusted odds of the disease severity increased in patients with older age (OR 3.51; 95% CI, 2.28-5.40), substance abuse (OR 2.22; 95% CI, 2.05-5.78), and at least one underlying disease (OR 3.45; 95% CI, 1.01-1.32).Conclusions COVID-19 was more severe in older patients, patients with a history of substance abuse, and patients with at least one underlying disease. Understanding the factors affecting the disease severity can help for the clinical management of COVID-19, especially in less privileged areas where fewer resources are available.

scholarly journals Effects of sagging breasts and other risk factors associated with mastalgia: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bülent Çomçalı ◽  
Servet Kocaoz ◽  
Buket Altun Özdemir ◽  
Ömer Parlak ◽  
Birol Korukluoğlu
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Coffee Consumption ◽  
Educational Status ◽  
Case Control ◽  
Tea Consumption ◽  
Drinking Alcohol ◽  
Factors Affecting ◽  
Factors Associated ◽  
Control Study

AbstractThe aim of this study is to compare patients with and without mastalgia and to analyze the factors affecting mastalgia and its severity. The patient’s age, height, weight, educational status, marital status, and occupation were recorded in all subjects. In addition, the women were asked about the presence of any risk factors for mastalgia, such as tea and coffee consumption, smoking, alcohol consumption, and weight gain. The sternal notch to nipple distance (SNND) was measured to determine whether there was breast sagging. Mastalgia was significantly more common in women with BMIs of > 30 kg/m2 (OR: 2.94, CI 1.65–5.24), those who were primary school graduates or illiterate (OR: 2.96, CI 1.6–5.46), and those with SNND values of 22–25 cm (OR: 2.94, CI 1.79–4.82). In these women, drinking more than 6 cups of tea a day (OR: 2.15, CI 1.32–3.5), smoking at least 10 cigarettes a day (OR: 2.94, CI 1.78–4.83), and drinking alcohol at least once a week (OR: 2.1, CI 1.12–3.91) were found to be important factors that increased the risk of mastalgia. As a result, it has been found that severe mastalgia complaints cause by obesity, sagging breasts, never giving birth, unemployment anxiety, regular smoking, alcohol use, and excessive tea consumption.

scholarly journals Hospital Readmission in Patients With COVID-19

2021 ◽  
Author(s):  
Neda Rahimian ◽  
Mahshid Heidari ◽  
Nahid Hashemi-Madani ◽  
Nader Tavakoli ◽  
Moammad E Khamseh
Keyword(s):  
Risk Factors ◽  
Hospital Readmission ◽  
Underlying Disease ◽  
Control Groups ◽  
Factors Associated ◽  
Infection Age ◽  
Discharge Plan ◽  
Matched Case ◽  
And Control ◽  
Control Study

Abstract Objective: During the COVID-19 pandemic, the demand for hospital beds has exceeded substantially. Thus, we aimed to conduct this study to identify factors associated with the risk of readmission in order to introduce the best discharge plan for patients with high risk of hospital readmission. Method: This is a multicenter, case-control study included 1357 patients hospitalized with COVID-19 infection. Age-sex-matched case and control groups were paired at 1:2 ratios. COVID-19 readmission rate was assessed. Moreover, Logistic regression analysis was applied to determine the factors associated with readmission. Results: Of the 1357 patients, 99 (7.29%) subjects were readmitted. The most common cause of readmission was respiratory distress. The median (IQR) of the interval between hospital discharge and the second admission was 5 (2-16) days. Upon adjusting with the main risk factors, having at least one underlying disease and being treated with the corticosteroid (GC) were significantly associated with a higher rate of readmission (OR: 2.76, 95% CI :1.30- 5.87) and (OR:8.24, 95% CI :3.72- 18.22), respectively.Conclusion: Identification of Risk factors of COVID 19 readmission will improve resource utilization and patient care.

scholarly journals Epidemiological characteristics, clinical characteristics, and prognostic factors of children with atopy hospitalised with adenovirus pneumonia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Miao Li ◽  
Xiao-Hua Han ◽  
Li-Yun Liu ◽  
Hui-Sheng Yao ◽  
Li-Li Yi
Keyword(s):  
Risk Factors ◽  
Disease Severity ◽  
Clinical Characteristics ◽  
Severe Infection ◽  
Small Airway ◽  
Personal History ◽  
Factors Associated ◽  
History Of ◽  
Radiological Changes ◽  
Epidemiological Characteristics

Abstract Background Atopy may be associated with disease severity and a poor prognosis of human adenovirus (HAdV) pneumonia in children. Our aim was to observe the clinical characteristics and pulmonary radiological changes in children with atopy and HAdV pneumonia in China. Methods Children hospitalised with HAdV pneumonia from June 2018 to December 2019 were analysed. All children were divided into atopic with HAdV, non-atopic with HAdV, and atopic without HAdV infection group. Each group was further divided into the mild and severe pneumonia groups according to disease severity. Standard treatment was initiated after admission, and regular follow-up evaluations were conducted at 1 month after discharge. Baseline and clinical characteristics and pulmonary radiological changes in children with and without atopy were evaluated. Risk factors associated with small airway lesions in patients with HAdV pneumonia were analysed. Results The eosinophil count in the atopic group was significantly higher than that in the non-atopic group (P < 0.05). Severe coughing, wheezing, and small airway lesions on chest high-resolution computed tomography (HRCT) upon admission, after discharge and 1 month after discharge were significantly higher in the atopic group (with or without HAdV infection) than in the non-atopic group (P < 0.05). There were significant differences in the number of patients with wheezing and small airway lesions during hospitalisation and after discharge among the three groups (P < 0.05). The risks of small airway lesions in children with a family or personal history of asthma, severe infection, atopy, and HAdV infection were 2.1-, 2.7-, 1.9-, 2.1-, and 1.4-times higher than those in children without these characteristics, respectively. Conclusions Children with atopy and HAdV pneumonia may experience severe coughing in mild cases and wheezing in mild and severe cases. Children with atopy are more susceptible to the development of small airway lesions, recurrent wheezing after discharge and slower recovery of small airway lesions as observed on pulmonary imaging than non-atopic children after HAdV infection. A family or personal history of asthma, atopy, severe infection, and HAdV infection are independent risk factors associated with the development of small airway lesion as observed on chest HRCT.

scholarly journals Risk Factors for Opioid Use Following Anterior Cruciate Ligament Reconstruction (ACLR) in a Cohort of 21,202 ACLR

2019 ◽  
Vol 7 (7_suppl5) ◽  
pp. 2325967119S0025
Author(s):  
Anita G. Rao ◽  
Heather A. Prentice ◽  
Priscilla Hannah Chan ◽  
Liz W. Paxton ◽  
Tadashi Ted Funahashi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Abuse ◽  
Pulmonary Disease ◽  
Chronic Pulmonary Disease ◽  
Meniscal Injury ◽  
Opioid Use ◽  
Opioid Medication ◽  
Factors Associated ◽  
Asa Classification

Objectives: The misuse of opioid medication has contributed to a significant national crisis affecting public health, as well as patient morbidity and medical costs. We sought to determine baseline opioid utilization in patients undergoing ACLR and examine demographic, patient characteristics, and medical factors associated with postoperative opioid utilization. Methods: Primary elective ACLR were identified using an integrated healthcare system’s ACLR registry (January 2005-January 2015). Patients with cancer or those who had other knee surgery in the preceding year were excluded. We studied the effect of preoperative and intraoperative risks factors on number of dispensed opioid medication prescriptions (Rx) in the early (0-90 days) and late (91-360 days) postoperative periods using logit regression. Risk factors studied included: number of opioid Rx in preceding year, age, gender, race, American Society of Anesthesiologists (ASA) classification, body mass index (BMI), activity at the time of injury, time from injury to ACLR, concomitant procedure or injury, medical comorbidities, and opioid-use comorbidities. Results: Of 21202 ACLR from 20813 patients, 25.5% used at least 1 opioid Rx in the one-year preoperative period. 17.7% and 2.7% used ≥2 opioid Rx in the early and late recovery periods, respectively. The risk factors associated with greater opioid Rx in both the early and late periods included: preoperative opioid use, age >20 years, ASA classification of ≥3, other activity at the time of injury, repaired cartilage injury, chronic pulmonary disease, and substance abuse. Risk factors associated with opioid Rx use during the early period only included: other race, acute ACL injury, repaired meniscal injury, multi-ligament injury, and dementia/psychoses. Risk factors associated with greater opioid Rx during the late period included: female gender, BMI >25 kg/m2, motor vehicle accident as the mechanism of injury, and hypertension. Conclusion: We identified several risk factors for postoperative opioid usage after ACLR. The strongest predictors of postoperative prescription opioid usage after ACLR included preoperative opioid use, increasing age, ASA classification of 3 or more, other activity at the time of injury, repaired meniscal injury, cartilage repair, chronic pulmonary disease, and substance abuse. Awareness of risk factors for postoperative opioid usage may encourage more targeted utilization of opioids in pain management. Surgeons may consider additional support or referral to a pain specialist for patients with these risk factors. [Figure: see text]

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