Burden levels and predictive factors among caregivers of hemodialysis patients: a cross-sectional study in Oman.

BACKGROUND: Caring for individuals with chronic kidney disease (CKD) is a highly demanding task that can adversely affect the physical and psychological well-being of caregivers. OBJECTIVE: This study aimed to investigate the burden experienced by caregivers of patients undergoing hemodialysis (HD) in Oman and explore the factors associated with this burden, including demographic and medical characteristics. METHODS: A descriptive cross-sectional was employed. Caregiver burden was assessed, and demographic and medical variables were examined among caregivers of HD patients. A total of 326 unpaid family caregivers completed the Zarit Burden Interview scale, demographics and some medical variables. Linear multiple regression analyses were conducted to identify factors linked to caregiver burden. RESULTS: Of the caregivers, 62.9% reported a minimal burden, 21.8% experienced mild-to-moderate burden, 8.6% faced moderate-to-severe burden, and 6.7% encountered a severe burden. The final multiple regression model demonstrated statistical significance compared to the constant (F = 8.68, p < 0.001), with eight predictors explaining 18% of the variance, and caregivers' satisfaction with health emerged as the only significant predictor. CONCLUSION: A substantial portion of caregivers reported minimal burden. These findings suggest the need for further in-depth investigations into factors contributing to this favourable outcome. Furthermore, caregivers' satisfaction with health was the only significant predictor of their burden. Healthcare providers need to give special attention to this point and conduct periodic assessments of the primary caregivers' health. Implementing improvements in the healthcare system based on these findings could enhance the overall caregiving experience for HD patients and their caregivers.

A Machine Learning-Based Mortality Prediction Model for Patients with Chronic Hepatitis C Infection: An Exploratory Study.

Background: Chronic hepatitis C (HCV) infection presents global health challenges with significant morbidity and mortality implications. Successfully treating patients with cirrhosis may lead to mortality rates comparable to the general population. This study aims to utilize machine learning techniques to create predictive mortality models for individuals with chronic HCV infections. Methods: Data from chronic HCV patients at Sultan Qaboos University Hospital (2009-2017) underwent analysis. Data pre-processing handled missing values and scaled features using Python via Anaconda. Model training involved SelectKBest feature selection and algorithms such as logistic regression, random forest, gradient boosting, and SVM. The evaluation included diverse metrics, with 5-fold cross-validation, ensuring consistent performance assessment. Results: A cohort of 702 patients meeting the eligibility criteria, predominantly male, with a median age of 47, was analyzed across a follow-up period of 97.4 months. Survival probabilities at 12, 36, and 120 months were 90.0%, 84.0%, and 73.0%, respectively. Ten key features selected for mortality prediction included hemoglobin levels, alanine aminotransferase, comorbidities, HCV genotype, coinfections, follow-up duration, and treatment response. Machine learning models, including the logistic regression, random forest, gradient boosting, and support vector machine models, showed high discriminatory power, with logistic regression consistently achieving an AUC value of 0.929. Factors associated with increased mortality risk included cardiovascular diseases, coinfections, and failure to achieve a SVR, while lower ALT levels and specific HCV genotypes were linked to better survival outcomes. Conclusions: This study presents the use of machine learning models to predict mortality in chronic HCV patients, providing crucial insights for risk assessment and tailored treatments. Further validation and refinement of these models are essential to enhance their clinical utility, optimize patient care, and improve outcomes for individuals with chronic HCV infections.

COVID-19 Linked Social Stigma Among Arab Survivors: A Cross-Sectional Experiences from the Active Phase of the Pandemic.

Objective: This study aimed to explore the magnitude and variability of the disease-linked stigma among COVID-19 survivors and their experiences of social stigma, coping strategies, contextual challenges, and preferences for support. Methods: An Arabic version of the social stigma survey questionnaire was designed and validated to obtain socio-demographic characteristics and quantitative measures of stigma encountered by the survivors. 482 COVID-19 survivors completed the survey, and the data were analyzed using descriptive statistics and thematic analysis. Results: The results of this study revealed the prevalence of high levels of both perceived external stigma and enacted stigma among participants. Enacted and Internalized stigma were associated with survivors' educational background/ status. The participants suggested three levels of support: organizational, social, and personal. Establishing an online stigma reduction program and national psychological crisis interventions at the organizational level. It is crucial to assist coping mechanisms and societal reintegration techniques at the social level. Conclusion: These results provide valuable insights for holistic health policy formation and preparedness strategies for future pandemics, helping survivors promote health and reintegrate into society, where stigma reduction and psychological crisis interventions are underdeveloped.

Predictors of survival among patients with chronic hepatitis C at a tertiary care center in Oman.

BACKGROUND: Chronic hepatitis C (CHC) is a leading cause of cirrhosis and hepatocellular carcinoma (HCC) worldwide. This study aimed to determine rates and predictors of survival among Omani patients with CHC at a tertiary hospital in Muscat, Oman. METHODS: This ambidirectional cohort study included all CHC patients who presented to the Sultan Qaboos University Hospital between January 2009 and December 2017. Baseline demographic, clinical, laboratory, and radiological data were analyzed. Patients were followed-up until death or the endpoint of the study (April 2022) to determine survival and associations with other parameters. RESULTS: A total of 702 CHC patients were included, of which 398 (56.7%) were under 50 years of age and 477 (67.9%) were male. Overall, 180 patients (25.6%) died by the study endpoint. The mean duration of follow-up was 93.3 ± 48.0 months. The 5-year survival rate was estimated to be 80.5%, while the 10-year survival was 73%. Sustained virological response and the absence of diabetes mellitus, chronic kidney disease, HCC, or other malignancies were associated with significantly better overall survival. The 3- and 5-year survival rate of patients with hepatitis C virus (HCV)-related HCC was 46.5% and 27.6%, respectively, with a median survival of 29.5 months. Co-infection with hepatitis B was associated with poor survival among this subgroup; conversely, early HCV screening and the presence of a single HCC lesion were associated with better overall survival. CONCLUSIONS: National policies for early CHC screening and rapid treatment are needed to improve survival rates in this population.

Clinical Characteristics, Etiology, and Prognostic Scores in Patients with Acute Decompensated Liver Cirrhosis.

BACKGROUND: Chronic liver disease and cirrhosis contribute significantly to global mortality, with limited improvements despite medical advancements. This study aims to evaluate acute decompensation of liver cirrhosis characteristics, etiology, and survival outcomes in Oman. In addition, we examined the accuracy of prognostic scores in predicting mortality at 28 and 90 days. METHODS: We conducted a retrospective analysis of 173 adult patients with acute decompensation of liver cirrhosis at Sultan Qaboos University Hospital in Oman. We collected demographic, clinical, and biochemical data, including etiology, prognostic scores (CTP, MELD-Na, CLIF-C), and health outcomes. RESULTS: Alcohol (29.5%), hepatitis C (27.75%), and hepatitis B (26.74%) were the predominant causes of liver cirrhosis in our cohort. Hepatic encephalopathy, mechanical ventilation, and admission to the intensive care unit were strongly associated with an increased mortality rate. The 1-year readmission rate stood at 42.2%. Liver transplantation was performed in 4.1% of cases. The overall mortality rate was approximately 40% during the follow-up period, and the cumulative 28-days and 90-days mortality rates were 20.8% and 25.4%, respectively. Prognostic scores (CTP, MELD-Na, CLIF-C) effectively predicted 28- and 90-day mortality, with CLIF-C demonstrating superior performance (AUROC 0.8694 ± 0.0302 for 28-day mortality and AUROC 0.8382 ± 0.0359 for 90-day mortality). CONCLUSION: Alcohol and viral hepatitis are the leading causes of liver cirrhosis in our study. Hepatic encephalopathy is a significant predictor of poor outcomes. Prognostic scores (CTP, MELD-Na, CLIF-C) have valuable predictive abilities for short-term mortality. These findings highlight the importance of public strategies to reduce alcohol consumption and the need for the comprehensive management of liver cirrhosis in Oman. Early diagnosis and intervention can improve clinical outcomes and support the establishment of a national organ transplantation program to address the healthcare challenge effectively.

Role of Health Literacy, Social Support, Patient-Physician Relationship, and Health-Related Quality of Life in Predicting Medication Adherence in Cardiovascular Diseases in Oman.

Purpose: Cardiovascular diseases (CVDs) remain a global health threat, and medication adherence remains low. Medication adherence is a complex phenomenon and is affected by many factors that require investigation. Oman has limited literature examining medication adherence and influencing factors among patients with CVDs. This study examined the influence of health literacy, social support, the patient-physician relationship, and health-related quality of life on medication adherence among patients with cardiovascular diseases. Patients and Methods: This cross-sectional study used a correlation design. The study included 360 participants with CVDs. Descriptive statistics, independent t-test, one-way ANOVA, and multiple regression analysis were utilized for data analyses. Results: Findings revealed that higher social support (B=0.117; p=0.033), good patient-physician relationship (B=0.124; p < 0.01), better mental health (B=0.045; p < 0.01), more bodily pain (B=0.030; p < 0.01), and unemployment (B=1.297; p < 0.01) were predictors of higher adherence. High school education and above predicted lower medication adherence (B= -1.255; p= 0.019), while health literacy was not a significant predictor of medication adherence (B= 0.061; p= 0.289). Conclusion: To improve medication adherence, healthcare providers and researchers should consider improving patients' social support, mental health, and the patient-physician relationship. In addition, patients' socioeconomic status should always be considered and examined as an influencing factor of medication adherence.

Periampullary Clot Causing Biliary Obstruction: A Rare Presentation.

Acute cholangitis is an emergency condition that requires an emergency biliary drainage for source control of the infection. Commonly cholangitis is precipitated by biliary obstruction due to causes like stones, strictures, stents, or malignancy of the pancreaticobiliary or ampullary origin. We report a unique case of a man who had acute cholangitis due to a periampullary clot who was fully recovered after clot removal by endoscopic retrograde cholangiopancreatography (ERCP).

Has the COVID-19 pandemic affected the psychological state of arab cancer patients?

The Covid-19 pandemic has increased the vulnerability of cancer patients to psychological symptoms, in addition to treatment modality issues. The present study has aimed to determine the psychological state of Arab cancer patients during the COVID-19 pandemic and to explore the contributing factors. A cross-sectional, descriptive, correlational design with the Hospital Anxiety and Depression Scale (HADS), Insomnia Severity Index (ISI), Functional Assessment of Cancer Therapy-Fatigue subscale (FACT-F), and the Functional Assessment of Cancer Therapy-General (FACT-G) were used to collect the data. Out of 291 participants, 60.5% were female; 22.7% were 51-60 years; 31.6% were diagnosed with breast cancer; 44.3% with stage 2 cancer; 23% had contracted COVID-19; and 43.3% had received their first dose of the vaccine. The main study findings are: 74.9% had anxiety, 64.3% experienced depression, 68% suffered from insomnia, and 69.8% had fatigue. Quality of life (QoL) was low among cancer patients who had marked anxiety, depression, insomnia, or fatigue, and these findings were statistically significant (p < 0.05). Predictive factors showed males were 5.09 times more likely to report depression; gynecological cancer patients were 40.4 times more likely to experience insomnia, and patients who had COVID-19 were 5.13 times more likely to report fatigue. The study findings reveal that the COVID-19 pandemic affected the psychological state of cancer patients and had a significant effect on their quality of life. Hence, there is a need to develop a holistic cancer health care approach, which is often limited in Arab countries, to help patients manage these symptoms effectively and to decrease the prevalence of mental health morbidity.

Treatment With Endoscopic Ultrasound (EUS)-Guided Transesophageal Coil Embolization Without Sclerotherapy: A Novel Therapy for Giant Distal Esophageal Hemangioma.

Giant esophageal hemangiomas are rare. The extent is usually in the mediastinum but may spread down to the upper abdomen. Such vascular pathology is hard to treat and typically to be resected along with the organs it is attached to. Here we report a novel way of treatment of giant distal esophageal hemangioma that was considered difficult for resection due to its anatomical spread. With endoscopic ultrasound (EUS) guidance, a few coils were placed in the hemangioma, which lead to stasis of blood and a significant reduction in the size of the lesion in over three months.

Medication Adherence and Patients' Characteristics in Chronic Diseases: A National Multi-Center Study.

Chronic diseases constitute a significant threat to health. Worldwide, medication adherence in chronic diseases remains unsatisfactory. Understanding factors affecting adherence is essential. This study examined medication adherence by characteristics of patients with chronic diseases. This cross-sectional study included 800 patients. The Adherence to Chronic Diseases Scale was used to measure adherence. Descriptive statistics and logistic regression was used to examine factors influencing medication adherence. Low adherence was found in 19.5% of the patients, 45% had medium adherence, and 35.5% had high adherence. Logistic regression showed that retired (OR 0.496, 95% CI [0.33-0.75]), having COPD (OR 0.460, 95% CI [0.32-0.67]) and duration of disease ≤5 years (OR 1.554, 95% CI [1.11-2.17]) remain independent predictors for high adherence. Mixed findings regarding the relationship between medication adherence and patients' characteristics were noticed. Patients' characteristics should be examined with the individual population when examining and attempting to improve medication adherence in clinical practice.

A Secondary Spontaneous Pneumothorax in a Patient with COVID-19: Case report.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus, represents an unprecedented global threat. We report a 78-year-old male patient who presented to the Emergency Department at a tertiary care hospital in Muscat, Oman, in June 2020 with a one-day history of right chest pain and severe breathlessness. The patient was an ex-smoker and known to have idiopathic pulmonary fibrosis (IPF) with two previous pneumothoraces in the left lung. On presentation, the patient was breathless with an oxygen saturation of 90% on room air. Chest X-ray demonstrated bilateral lung infiltrates and right-sided pneumothorax. The patient tested positive for SARS CoV 2. A chest drain was placed which resulted in good resolution of the pneumothorax. The patient's condition improved remarkably and he was discharged after 17 days of hospitalisation. To the best of the authors' knowledge, this was the first case of pneumothorax reported in a patient infected with COVID-19 who was known to have underlying IPF.

Fatigue, anxiety, depression and sleep quality in patients undergoing haemodialysis.

OBJECTIVE: Patients undergoing haemodialysis may experience troubling symptoms such as fatigue, anxiety, depression and sleep quality, which may affect their quality of life. The main objective of this study is to determine the prevalence of fatigue, anxiety, depression and sleep quality among patients receiving haemodialysis during the coronavirus disease 2019 (COVID-19) pandemic, and to explore the contributing predictors. METHODS: A cross-sectional and descriptive correlational design using Qualtrics software was performed. Data were collected using the Functional Assessment of Cancer Therapy-Fatigue (FACT-F), the Hospital Anxiety and Depression Scale (HADS) and the Pittsburgh Sleep Quality Index (PSQI). Logistic regression analyses were used to explore the predictors that were associated with fatigue, anxiety, depression and sleep quality. RESULTS: Of the 123 patients undergoing haemodialysis who participated, 53.7% (n = 66) reported fatigue, 43.9% (n = 54) reported anxiety, 33.3% (n = 41) reported depression and 56.9% (n = 70) reported poor sleep. Fatigue, anxiety and sleep quality (P < .05) were significantly associated with being female, and whether family members or relatives were suspected or confirmed with COVID-19. Logistic regression showed that being within the age group 31-40, having a secondary education level, anxiety, depression and sleep quality were the main predictors affecting the fatigue group. CONCLUSION: Fatigue, anxiety, depression and sleep quality are significant problems for patients receiving haemodialysis during the COVID-19 pandemic. Appropriate interventions to monitor and reduce fatigue, psychological problems and sleep quality amongst these patients are needed. This can help to strengthen preparations for responding to possible future outbreaks or pandemics of infectious diseases for patients receiving haemodialysis.

Prevalence of Fatigue in Patients With Cancer: A Systematic Review and Meta-Analysis.

CONTEXT: Fatigue is a particularly common and troubling symptom that has a negative impact on quality of life throughout all phases of treatment and stages of the illness among patients with cancer. OBJECTIVES: The objective of this meta-analysis is to examine the present status of fatigue prevalence in patients with cancer. METHODS: The following databases were searched: PubMed, MEDLINE, EMBASE, PsycINFO, Cochrane Library, from inception up to February 2020. Prevalence rates were pooled with meta-analysis using a random-effects model. Heterogeneity was tested using I-squared (I2) statistics. RESULTS: A total of 129 studies (N = 71,568) published between 1993 and 2020 met the inclusion criteria. The overall prevalence of fatigue was 49% (34,947 of 71,656 participants, 95% CI = 45-53) with significant heterogeneity between studies (P < 0.000; τ2 = 0.0000; I2 = 98.88%). Subgroup analyses show that the prevalence of fatigue related to type of cancer ranged from 26.2% in patients with gynecological cancer to 56.3% in studies that included mixed types of cancer. In advanced cancer stage patients, the highest prevalence of fatigue (60.6%) was reported. Fatigue prevalence rates were 62% during treatment and 51% during mixed treatment status. The prevalence of fatigue decreased from 64% in studies published from 1996 to 2000 to 43% in studies published from 2016 to 2020. Metaregression identified female gender as a significant moderator for higher prevalence of fatigue, whereas mean age is not associated with fatigue. CONCLUSION: This meta-analysis highlights the importance of developing optimal monitoring strategies to reduce fatigue and improve the quality of life of patients with cancer.