Anakinra in hospitalized patients with severe COVID-19 pneumonia requiring oxygen therapy: Results of a prospective, open-label, interventional study

Objective

The aim of this study was to evaluate the efficacy of anakinra in patients who were admitted to hospital for severe COVID-19 pneumonia requiring oxygen therapy.

Methods

A prospective, open-label, interventional study in adults hospitalized with severe COVID-19 pneumonia was conducted. Patients in the interventional arm received subcutaneous anakinra (100 mg twice daily for 3 days, followed by 100 mg daily for 7 days) in addition to standard treatment. Main outcomes were the need for mechanical ventilation and in-hospital death. Secondary outcomes included successful weaning from supplemental oxygen and change in inflammatory biomarkers. Outcomes were compared with those of historical controls who had received standard treatment and supportive care.

Results

A total of 69 patients were included: 45 treated with anakinra and 24 historical controls. A need for mechanical ventilation occurred in 14 (31%) of the anakinra-treated group and 18 (75%) of the historical cohort (p < 0.001). In-hospital death occurred in 13 (29%) of the anakinra-treated group and 11 (46%) of the historical cohort (p = 0.082). Successful weaning from supplemental oxygen to ambient air was attained in 25 (63%) of the anakinra-treated group compared with 6 (27%) of the historical cohort (p = 0.008). Patients who received anakinra showed a significant reduction in inflammatory biomarkers.

Conclusion

In patients with severe COVID-19 pneumonia and high oxygen requirement, anakinra could represent an effective treatment option and may confer clinical benefit.

Trial registration number

ISRCTN74727214.

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.

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.

The lived experiences of fatigue among patients receiving haemodialysis in Oman: a qualitative exploration

BACKGROUND

Fatigue among patients with end-stage kidney disease (ESKD) receiving haemodialysis imposes a substantial burden on patients' quality of life and expected treatment outcomes. This study explores the perspective on ESKD-related fatigue and contributing factors among Omani patients receiving haemodialysis.

METHODS

An exploratory qualitative design was used. Participants (N = 25) were recruited from two Omani haemodialysis centres, and data were collected through semi-structured interviews, which were transcribed and analysed using a thematic analysis approach. NVivo 11 is used to manage qualitative data and create memos, nodes, and codes.

RESULTS

Findings highlighted three themes: (i)"Inevitability of fatigue," (ii)"Contributors to physical fatigue," and (iii)"Contributors to mental fatigue." Theme one alluded to the inevitability of fatigue and the unique experience encountered by patients. Theme two addressed the physical fatigue associated with ESKD-related factors, such as chronically low haemoglobin levels, and the exhausting impact caused by the frequency and travelling distance for treatment sessions. Theme three, mental fatigue, was notably driven by heightened emotional disturbance, encompassing frustration, guilt, anxiety, and distress, that in turn impacted family interactions, frequently triggering anger and remorse. Moreover, mental fatigue is a result of disturbances in expressing physical sexuality in marriage, as physical fatigue was found to be a significant contributor to unsatisfactory sexual experiences and, thus, straining the relationships between couples.

CONCLUSIONS

This study offers an explanation of fatigue among Omani patients with ESKD who are receiving haemodialysis. The study emphasises close links between physiological change, the haemodialysis process, and mental tiredness, together with their contribution to supporting the need for a holistic approach and care strategies in managing these patients and promoting patient and family well-being.

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.

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.

Real-World Experience, Effectiveness, and Safety of Direct-Acting Antivirals for the Treatment of Hepatitis C in Oman: A Cross-Sectional, Multicenter Study

Background: The advent of direct-acting antiviral (DAA) therapy has revolutionized the treatment landscape of the hepatitis C virus (HCV) infection. This study aimed to provide a comprehensive research study of the real-world effectiveness and safety of DAA treatment, representing the first study conducted in the Omani population. Methods: A cross-sectional study was conducted including 375 HCV patients with different genotypes, treated using different DAA regimens, with or without ribavirin, between January 2012 and December 2020 at the Sultan Qaboos University Hospital and the medical city for military and security services, two tertiary hospitals in Muscat, Oman. The rate of sustained virologic response 12 weeks after completing the regimen (SVR-12) was analyzed as the primary outcome. Secondary outcomes included treatment safety and adverse events related to DAA therapy, as reported by patients and treating physicians. Results: A total of 375 patients were included in the study, with a mean age of 47.3 ± 15.4 years. Most were male (59.2%) and treatment-naïve (71.7%). The prevalence of liver cirrhosis was 19.7%, while 4.0% had hepatocellular carcinoma (HCC). The SVR-12 rate among treatment-naïve and treatment-experienced patients was 95.0% and 93.4%, respectively. Several parameters were associated with DAA treatment failure, including liver cirrhosis (p = 0.004) and active HCC (p = 0.009). Following SVR-12, significant improvements were observed in alanine transaminase, bilirubin, and albumin levels, Fibrosis-4 Index, and liver stiffness measurements compared to baseline (p <0.001 each). No significant adverse effects were reported. Conclusions: Based on our real-world experience, DAAs are highly effective in treating patients with HCV infection in Oman, with an excellent tolerability and safety profile.

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.

Machine Learning-powered 28-day Mortality Prediction Model for Hospitalized Patients with Acute Decompensation of Liver Cirrhosis

Objectives

Chronic liver disease and cirrhosis are persistent global health threats, ranking among the top causes of death. Despite medical advancements, their mortality rates have remained stagnant for decades. Existing scoring systems such as Child-Turcotte-Pugh and Mayo End-Stage Liver Disease have limitations, prompting the exploration of more accurate predictive methods using artificial intelligence and machine learning (ML).

Methods

We retrospectively reviewed the data of all adult patients with acute decompensated liver cirrhosis admitted to a tertiary hospital during 2015-2021. The dataset underwent preprocessing to handle missing values and standardize continuous features. Traditional ML and deep learning algorithms were applied to build a 28-day mortality prediction model.

Results

The subjects were 173 cirrhosis patients, whose medical records were examined. We developed and evaluated multiple models for 28-day mortality prediction. Among traditional ML algorithms, logistic regression outperformed was achieving an accuracy of 82.9%, precision of 55.6%, recall of 71.4%, and an F1-score of 0.625. Naive Bayes and Random Forest models also performed well, both achieving the same accuracy (82.9%) and precision (54.5%). The deep learning models (multilayer artificial neural network, recurrent neural network, and Long Short-Term Memory) exhibited mixed results, with the multilayer artificial neural network achieving an accuracy of 74.3% but lower precision and recall. The feature importance analysis identified key predictability contributors, including admission in the intensive care unit (importance: 0.112), use of mechanical ventilation (importance: 0.095), and mean arterial pressure (importance: 0.073).

Conclusions

Our study demonstrates the potential of ML in predicting 28-day mortality following hospitalization with acute decompensation of liver cirrhosis. Logistic Regression, Naive Bayes, and Random Forest models proved effective, while deep learning models exhibited variable performance. These models can serve as useful tools for risk stratification and timely intervention. Implementing these models in clinical practice has the potential to improve patient outcomes and resource allocation.