Prevalence and correlates of burn-out among Nigerian medical doctors during the COVID-19 pandemic: a cross-sectional study.

INTRODUCTION: Physician burn-out was an issue before the pandemic. Medical personnel have faced several clinical and non-clinical challenges because of the novel coronavirus (SARS-CoV-2) pandemic, which predisposes them to burn-out. There is a paucity of studies that shed light on the level of burn-out and its association with work-related factors for Nigerian medical doctors. This study aims to examine the level of burn-out among Nigerian medical doctors during the COVID-19 pandemic and explore possible associations between burn-out and sociodemographic, work-related and COVID-19-related factors. METHODOLOGY: A cross-sectional study was conducted among 251 medical doctors in a tertiary hospital in Nigeria. A questionnaire was used to obtain sociodemographic history, work-associated factors, COVID-19-related parameters and burn-out history. Personal, work-related and patient-related burn-out were evaluated with the use of the Copenhagen Burnout Inventory. RESULTS: The number of doctors enrolled in this study was 251 with a median age of 34; 51.4% were males. The percentage of doctors who had personal, work-related and patient-related burn-out were 62.2%, 52.2 % and 27.5%, respectively. The univariate analysis revealed a correlation between burn-out scores and cadre, age, sex, years of experience, marital status, weekly work hours and number of calls. After multiple regression, female gender (p=0.012), those with less than 6 years of work experience (p=0.004) and those working for at least 71 hours in a week (p=0.0001) remained correlated with higher burn-out scores. Additionally, physicians who had a person with COVID-19 in their immediate environment had an independent correlation with higher work-related burn-out scores (p=0.043). CONCLUSION: The prevalence of burn-out is high among Nigerian doctors and is linked to some sociodemographic, work-related and COVID-19-related factors. Due to the adverse effects of burn-out on physician well-being and patient care, strategies need to be put in place to identify and mitigate burn-out among Nigerian physicians.

Carotid Intima-Media Thickness and Its Correlation With Echocardiographic Left Ventricular Function and Geometry in Hypertensive Individuals: A Cross-Sectional Study.

Background It is important to consider left ventricular hypertrophy (LVH) and carotid intima-media thickness (CIMT) in assessing hypertensive patients' global cardiovascular risk profile, as LVH and arterial wall changes occur concurrently. This study aimed to assess the relationship between CIMT and left ventricular geometry and function in hypertensive patients. Methodology This cross-sectional study included 200 hypertensive individuals and sought to correlate their CIMT with left ventricular geometry and function in Lagos University Teaching Hospital. Hypertension was defined as blood pressure ≥140/90 mmHg or on treatment for hypertension presenting at the outpatient clinics. Patients who satisfied the inclusion criteria were recruited. Abnormal CIMT was defined as >0.9 mm. Patients' demographic data were obtained in addition to general characteristics, physical examination, transthoracic echocardiography, and CIMT. The statistical relationship between CIMT and left ventricular geometry and function was obtained and analyzed. Results Normal geometry and LVH were observed in 50.5% and 15.5%, respectively. Left ventricular geometry was associated with abnormal CIMT (χ2 = 31.688, p < 0.001). Furthermore, the mean left ventricular mass index was statistically different between abnormal and normal CIMT (97.84 ± 30.5 vs. 80.75 ± 15.6; p < 0.001). Regarding left ventricular function, there was no significant difference in E-point septal separation, left ventricular fractional shortening, and left ventricular ejection fraction in abnormal versus normal CIMT groups. However, there was a significant association of CIMT with grades of diastolic dysfunction (χ2 = 7.069, p = 0.029). Additionally, individual parameters of diastolic dysfunction such as left atrial volume index and septal mitral were significantly different (p < 0.001). Conclusions There was an association between age, left ventricular geometry, diastolic function, and CIMT in hypertensive individuals. Therefore, it is beneficial to evaluate CIMT and for these patients to receive more targeted blood pressure control which may reduce the risk of cardiovascular diseases.

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.

COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities as of December 21, 2020. The primary cause of death due to COVID-19 is Acute Respiratory Distress Syndrome (ARDS). According to the World Health Organization (WHO), people who are at least 60 years old or have comorbidities that have primarily been targeted are at the highest risk from SARS-CoV-2. Medical imaging provides a non-invasive, touch-free, and relatively safer alternative tool for diagnosis during the current ongoing pandemic. Artificial intelligence (AI) scientists are developing several intelligent computer-aided diagnosis (CAD) tools in multiple imaging modalities, i.e., lung computed tomography (CT), chest X-rays, and lung ultrasounds. These AI tools assist the pulmonary and critical care clinicians through (a) faster detection of the presence of a virus, (b) classifying pneumonia types, and (c) measuring the severity of viral damage in COVID-19-infected patients. Thus, it is of the utmost importance to fully understand the requirements of for a fast and successful, and timely lung scans analysis. This narrative review first presents the pathological layout of the lungs in the COVID-19 scenario, followed by understanding and then explains the comorbid statistical distributions in the ARDS framework. The novelty of this review is the approach to classifying the AI models as per the by school of thought (SoTs), exhibiting based on segregation of techniques and their characteristics. The study also discusses the identification of AI models and its extension from non-ARDS lungs (pre-COVID-19) to ARDS lungs (post-COVID-19). Furthermore, it also presents AI workflow considerations of for medical imaging modalities in the COVID-19 framework. Finally, clinical AI design considerations will be discussed. We conclude that the design of the current existing AI models can be improved by considering comorbidity as an independent factor. Furthermore, ARDS post-processing clinical systems must involve include (i) the clinical validation and verification of AI-models, (ii) reliability and stability criteria, and (iii) easily adaptable, and (iv) generalization assessments of AI systems for their use in pulmonary, critical care, and radiological settings.

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.

Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) has infected over 10 million people, leading to over 500,000 deaths as of July 1st, 2020. Since the outbreak began, almost 28,000 articles about COVID-19 have been published (https://pubmed.ncbi.nlm.nih.gov); however, few have explored the role of imaging and artificial intelligence in COVID-19 patients-specifically, those with comorbidities. This paper begins by presenting the four pathways that can lead to heart and brain injuries following a COVID-19 infection. Our survey also offers insights into the role that imaging can play in the treatment of comorbid patients, based on probabilities derived from COVID-19 symptom statistics. Such symptoms include myocardial injury, hypoxia, plaque rupture, arrhythmias, venous thromboembolism, coronary thrombosis, encephalitis, ischemia, inflammation, and lung injury. At its core, this study considers the role of image-based AI, which can be used to characterize the tissues of a COVID-19 patient and classify the severity of their infection. Image-based AI is more important than ever as the pandemic surges and countries worldwide grapple with limited medical resources for detection and diagnosis.

Lifestyle modification and hypertension: prescription patterns of Nigerian general practitioners.

INTRODUCTION: Implementation of lifestyle modification (LM), a cornerstone of hypertension control has been reported to be more challenging than pharmacotherapy. We studied the LM prescription patterns of general medical practitioners (GPs) in Lagos, Nigeria for blood pressure control. METHODS: GPs were assessed using anonymous self-administered questionnaire on the prescription of salt restriction, weight management, cessation of tobacco use, physical exercise, and consumption of DASH-like diet for blood pressure control. Chi-square, Fisher's exact and Student t-test were used to test for differences as appropriate. Logistic regression model was constructed to identify the determinants of adequate LM prescription. RESULTS: A total of 213 GPs (38% females) participated in the survey. LM prescription was over 90% for the following: salt restriction (96.7%), tobacco cessation (94.8%), weight management (94.4%). The remaining were 81.2% and 75.1% for healthy diet and physical activity respectively. The median LM prescription score (of the GPs) was 18.0 [15.0-50.0]. The single significant predictor of adequate LM prescription was total patient load of the GPs (AOR:0.98, 95% CI: 0.97-0.99, p=0.006). Eleven (5.2%), 190 (89.2%), and 12 (5.6%) GPs initiated LM prescription at blood pressure values >140/90mmHg, =140/90mmHg and <140/90mmHg respectively. LM initiation at BP <140/90mmHg was associated with female gender, shorter work experience, working in tertiary care facility and ignorance about hypertension prevention (p<0.05). CONCLUSION: LM is widely prescribed for the treatment of hypertension, but rarely prescribed for its prevention in Nigeria. Interventions to reduce physician's patient load may engender improved LM prescription.

Morphological Carotid Plaque Area Is Associated With Glomerular Filtration Rate: A Study of South Asian Indian Patients With Diabetes and Chronic Kidney Disease.

We evaluated the association between automatically measured carotid total plaque area (TPA) and the estimated glomerular filtration rate (eGFR), a biomarker of chronic kidney disease (CKD). Automated average carotid intima-media thickness (cIMTave) and TPA measurements in carotid ultrasound (CUS) were performed using AtheroEdge (AtheroPoint). Pearson correlation coefficient (CC) was then computed between the TPA and eGFR for (1) males versus females, (2) diabetic versus nondiabetic patients, and (3) between the left and right carotid artery. Overall, 339 South Asian Indian patients with either type 2 diabetes mellitus (T2DM) or CKD, or hypertension (stage 1 or stage 2) were retrospectively analyzed by acquiring cIMTave and TPA measurements of their left and right common carotid arteries (CCA; total CUS: 678, mean age: 54.2 ± 9.8 years; 75.2% males; 93.5% with T2DM). The CC between TPA and eGFR for different scenarios were (1) for males and females -0.25 (P < .001) and -0.35 (P < .001), respectively; (2) for T2DM and non-T2DM -0.26 (P < .001) and -0.49 (P = .02), respectively, and (3) for left and right CCA -0.25 (P < .001) and -0.23 (P < .001), respectively. Automated TPA is an equally reliable biomarker compared with cIMTave for patients with CKD (with or without T2DM) with subclinical atherosclerosis.

Demographic characteristics and causes of death for persons brought in dead to emergency department of a Tertiary Health Facility in South-West Nigeria.

INTRODUCTION: Identifying the demographic characteristics and causes of death in persons 'brought-in-dead' (BID) will inform possible strategies for the prevention of their occurrence. OBJECTIVE: To characterise the demography as well as document the autopsy-determined underlying and immediate causes of death in BID cases presenting to the emergency department (ED) of a tertiary health facility. METHODS: This is a 5-year retrospective descriptive study of 253 autopsied-BID cases. Data were obtained from ED 'death-register' and the hospital 'autopsy-register'. The underlying and immediate causes of death were classified and analysed across the age groups of 21-40, 41-60 and >60 years. RESULTS: The age of the cases ranged from 22 to 101 years with a median of 56.0 (38-72) years. Almost half [110(43.5%)] of the cases were in the age-group >60 years. The male-to-female ratio was 1.04:1, and their ages were comparable. Non-communicable diseases accounted for 216 (85.4%) of the underlying causes of death. Three major specialities contributing to death were medicine 117 (46.2%), oncology 45 (17.0%) and surgery/trauma 42 (16.6%). Specialties of medicine and surgery/trauma were predominantly in age groups >60 years (60.0%) (P ≤ 0.0001) and 20-40 years (31.5%) (P = 0.0001), respectively. The chief underlying causes of death in the specialities of medicine, oncology and surgery/trauma were cardiovascular diseases (61 [52.1%]), breast cancer (11 [24.4%]) and road traffic accidents (31 [73.8%]), respectively. Overall immediate causes of death included heart failure (21.3%), unspecified circulatory collapse (17.0%), central nervous system pathologies (16.6%) and haemorrhagic shock (10.7%). Heart failure (33.6% [37/110]) and haemorrhagic shock (28.8% [21/73]) were the most common immediate causes of death in the >60 years' and 20-40 years' age groups, respectively. CONCLUSION: Non-communicable diseases are the leading causes of death in persons 'BID'. Deaths from medical conditions, especially heart failure, occurred mainly in the elderly. Deaths from trauma and haemorrhage occurred predominantly in the young.

Association of Elevated C-Reactive Protein with Severe Periodontitis in Hypertensive Patients in Lagos, Nigeria: A Pilot Study.

BACKGROUND: Epidemiological studies have shown that individuals with chronic periodontitis have a significantly higher risk of developing cardiovascular complications, which might be attributed to the increased production of inflammatory cytokines initiated by the complex microbiota in dental biofilm. AIM: The study aims to evaluate the association between chronic periodontitis and C-reactive protein (CRP) levels in a group of hypertensive individuals in Nigeria. MATERIALS AND METHODS: The investigator enrolled 50 hypertensive patients with chronic periodontitis into the study from the medical outpatient clinic of a teaching hospital in Lagos, Nigeria. Full-mouth periodontal examination was done to assess the participant's periodontal status, with probing depths and clinical attachment levels of six sites on all teeth. The investigator defined periodontitis as at least one interproximal site with probing depth ≥4 mm. Classification of participants into three groups was done based on their severity of periodontitis; mild (n = 16), moderate (n = 27), and severe (n = 7) periodontitis. Their CRP serum levels were measured, and the association with the severity of periodontitis was determined. P was found to be ≤ 0.05. RESULTS: The median CRP levels were 1.0 (0.6, 2.2), 2.4 (1.1, 4.8), and 4.1 mg/L (3.3, 9.4) for mild, moderate, and severe chronic periodontitis, respectively. The association between the serum CRP levels and severity of periodontitis was statistically significant (P = 0.006). CONCLUSION: There was an association of elevated serum CRP level with increased severity of chronic periodontitis in hypertensive individuals. This preliminary finding among Nigerians suggests that chronic periodontal inflammation may contribute to systemic inflammatory burden in hypertensive patients.