Background and Aims Caregivers are needed for cirrhotic patients as there is progressive decline in cognition and self‐care. We intend to study the quality of life (QOL), psychosocial burden and prevalence of mental health disorders among caregivers. Methods Cross‐sectional study where caregivers, defined as person who takes responsibility of providing care to patient, of cirrhotic patients were included. Short form 36 health survey (SF‐36) to assess QOL, Zarit Burdern Index12 (ZBI) for caregiver burden (CB). Patient Health Questionnaire (PHQ) identified depression and Generalized Anxiety Disorder (GAD‐7) questionnaires, anxiety. Results Of 132 caregivers, mean age of caregiver was 41.2 ± 10.3 years, with female preponderance. Mean MELD was 21.4 ± 7, majority belonged to CHILD C. Comparing the SF36 score of caregivers to normal population showed lower level of QOL for caregivers. Mean ZBI score – 14 ± 5.8. Mean GAD score – 8.1 ± 5.1, 54 (41%) had anxiety. Mean PHQ score – 7.8 ± 5.2, 45 (34%) had depression. Regression analysis Alcoholic cirrhosis, history of hepatic encephalopathy (HE), Anxiety, Depression and recidivism predicted CB. Treatment costs (ODDS‐1.15), alcoholic cirrhosis (ODDS –8.9), history of HE (ODDS‐7.5) and caregiver duration (ODDS‐0.25) predicted anxiety. Treatment costs (ODDS‐1.5), caregiver age (ODDS‐0.87), spouse as caregiver (ODDS‐10.9) and higher education (ODDS‐0.79) predicted depression. Conclusions Caregivers of cirrhotic patients have high prevalence of CB with low QOL and high incidence of anxiety and depression, compared with the general population. Alcoholism in patients precipitates while higher education helps cope up with these disorders.
Introduction: Barrett’s esophagus (BE) is a complication of gastroesophageal reflux disease (GERD). It is seen among 15% of GERD patients as per a population-based study by Ronkainen et al. Barrett’s has malignant potential and annual progression to carcinoma depends on the presence or absence of dysplasia. There are various risk factors for the development of BE. We compared two symptomatic cohorts of GERD patients from the same geographical area who were evaluated for the presence of Barrett’s and various factors that can contribute to Barrett’s. Materials and methods: Cross-sectional study. Two GERD cohorts, one from Kottayam and the other from Trivandrum were taken. The presence of Barrett’s and the factors contributing to the development of Barrett’s were analyzed between the two groups. Since biopsy data of all patients were not available, endoscopically suspected esophageal metaplasia (ESEM) was taken as Barrett’s. Results: 415 patients were enrolled for the study (203 from Trivandrum and 212 from Kottayam). 192 females (99 from Trivandrum and 93 from Kottayam), and 223 males (104 from Trivandrum and 119 from Kottayam). Barrett’s esophagus and especially long-segment Barrett’s were significantly more common in Kottayam than Trivandrum (68 vs 22 and 36 vs 9) (p-value <0.001). Among the factors that were traditionally thought to contribute to the development of Barrett’s esophagus, age (>50 years) was not statistically significant among the two cohorts (mean age of Trivandrum was 48 years and Kottayam was 49 years). Duration of GERD symptoms was significantly more in the Trivandrum cohort compared to Kottayam (p-value <0.001). Hiatus hernia and body mass index (BMI) were more common in Kottayam. There were no statistically significant differences in erosive esophagitis and antral gastritis (%age?) between the two cohorts. Conclusion: Both Trivandrum and Kottayam belong to the same geographical area and are separated by a distance of only 150 km. The Kottayam cohort is more prone to develop distal esophageal carcinoma as the BE is more in Kottayam. This data also suggests the need for GERD registries so that high-risk population can be targeted and early intervention can lead to a decrease in the incidence of distal esophageal carcinomas.
Objectives: Total number of avoided endoscopies using Baveno VI criteria is relatively low. Spleen elastography is an attractive tool and when compared with liver stiffness, it better represents the dynamic changes occurring in portal hypertension. The aim of the study was to evaluate spleen shear wave elastography (SWE) in compensated advanced chronic liver disease (cACLD) patients for ruling out the presence of esophageal high-risk varices (HRV). Methods: A total of 401 patients with cACLD were included in this cross-sectional study. The total sample was split into training set (200 patients) and validation set (201 patients). Spleen stiffness was measured with two-dimensional shear wave elastography (2D SWE). Esophageal HRV were defined as large varices (diameter >5 mm) or small varices with red color signs. In the training set, the receiver operating characteristic (ROC) curve was drawn and the area under the curve (AUC) of spleen SWE was assessed. A cutoff value was chosen (highest sensitivity and negative predictive value). In the validation set, the spleen SWE cutoff score and Baveno VI criteria were validated. Results: The prevalence of HRV was 12% in the training set and 13% in the validation set. Spleen SWE had an AUC of 0.89 in ruling out the presence of high-risk esophageal varices (cutoff value of 48.7 kPa, sensitivity of 100%, and specificity of 53%). Validating spleen SWE ≤48.7 kPa in a different cohort of 201 cACLD patients, 55% of screening endoscopies could be avoided without missing any HRV, whereas using Baveno VI criteria only 30% of screening endoscopies could be spared. Conclusion: Spleen SWE ≤48.7 kPa was able to identify cACLD patients who could safely avoid screening endoscopy with good accuracy. Spleen SWE could avoid an additional 25% of screening endoscopies compared to the Baveno VI criteria and no HRV were missed.
Background and Aims. Endoscopic variceal ligation (EVL) of esophageal varices alters the portal pressure. We observed the changes in 2D-shear wave elastography (2D-SWE) measurements of spleen and liver following EVL and tried to identify the predictors for rebleeding and mortality at 6 months. Methods. A prospective observational study of 202 patients who underwent EVL for bleeding esophageal varices was done. 2D-SWE measurements of liver stiffness (LS) and spleen stiffness (SS) and spleen volume (SV) were measured half an hour before, 1 hour, 2 weeks, and 6 weeks after EVL. All were followed up for 6 months for rebleeding and all-cause mortality. Results. 83 patients were in child C (41%). Difference in SV, SS, and LS at 2 and 6 weeks from baseline was noted as Delta 2 (2nd week post-EVL - pre-EVL SV, LS, and SS) and Delta 3 (6th week post EVL - pre - EVL SV, LS and SS), respectively. Mean Delta 2 VOL and Delta 3 VOL were lower in the bleeding and mortality groups. Delta 2 SS, Delta 3 SS, Delta 2 LS, and Delta 3 LS were higher in the rebleeding and mortality groups. These changes were statistically significant. AUROC in predicting rebleeding was the highest for Delta 2 VOL (0.773) and Delta 3 LS (0.764) amongst the USG parameters that performed better than MELD score (0.677). AUROC in predicting mortality was the highest for Delta 3 VOL and Delta 2 VOL-0.873 and 0.842, respectively, and higher than MELD’s (0.641). Statistically significant variables in binary logistic regression analysis for rebleeding were Delta 3 LS and Delta 3 SS and none for mortality. Conclusion. LS, SS, and SV change after EVL. Changes in liver and spleen stiffness at 6 weeks from baseline had good diagnostic accuracy for predicting rebleeding at 6 months.
Introduction NAFLD (non-alcoholic fatty liver disease) is increasing worldwide. Inflammation, fibrosis, and steatosis are the three components of NAFLD. Cardiac events are the most common cause of death in NAFLD. It is believed that there is an association between the inflammatory component of NAFLD and cardiac dysfunction. The gold standard for diagnosis of NAFLD is liver biopsy. Based on histology, NAFLD is categorized into two, nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH). As biopsy is an invasive procedure, studies comparing cardiac dysfunction in NAFL and NASH are few. The aim of our study is to compare cardiac dysfunction in patients with NAFL and NASH. Materials and method This is a cross-sectional study in which all patients who were biopsy proven for NAFLD without stage 4 fibrosis were included. Cardiac dysfunction in these patients was assessed by 2 D ECHO. Results Out of the 92 patients, 52 were males and 40 were females (53.5 vs 46.5 %). Among these patients, 48 had NAFL, whereas 48 had NASH. Among the variables analyzed for the study SGOT, SGPT, ALP, Ferritin, ANA, TSH, LVEF, LA diameter, E/e, NAS score, lobular inflammation, ballooning, and steatosis statistically correlated with cardiac diastolic dysfunction. Majority of the patients with NASH had cardiac dysfunction (32/44) while only a few patients with NAFL (4/48) had cardiac dysfunction (p value = 0.002). Among the variables that can cause diastolic dysfunction, i.e., coronary artery disease, dyslipidemia, diabetes mellitus, and hypertension, only diabetes mellitus had an independent association. By binary logistic regression, it was seen that NASH was an independent risk factor for predicting cardiac dysfunction. Conclusion The prevalence of cardiac dysfunction is more in NASH than NAFL in patients with NAFLD. NASH is an independent risk factor for cardiac dysfunction. There is no correlation between fibrosis and diastolic dysfunction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.