Cannabis use is associated with reduced prevalence of obesity and diabetes mellitus (DM) in humans and mouse disease models. Obesity and DM are a well-established independent risk factor for non-alcoholic fatty liver disease (NAFLD), the most prevalent liver disease globally. The effects of cannabis use on NAFLD prevalence in humans remains ill-defined. Our objective is to determine the relationship between cannabis use and the prevalence of NAFLD in humans. We conducted a population-based case-control study of 5,950,391 patients using the 2014 Healthcare Cost and Utilization Project (HCUP), Nationwide Inpatient Survey (NIS) discharge records of patients 18 years and older. After identifying patients with NAFLD (1% of all patients), we next identified three exposure groups: non-cannabis users (98.04%), non-dependent cannabis users (1.74%), and dependent cannabis users (0.22%). We adjusted for potential demographics and patient related confounders and used multivariate logistic regression (SAS 9.4) to determine the odds of developing NAFLD with respects to cannabis use. Our findings revealed that cannabis users (dependent and non-dependent) showed significantly lower NAFLD prevalence compared to non-users (AOR: 0.82[0.76–0.88]; p<0.0001). The prevalence of NAFLD was 15% lower in non-dependent users (AOR: 0.85[0.79–0.92]; p<0.0001) and 52% lower in dependent users (AOR: 0.49[0.36–0.65]; p<0.0001). Among cannabis users, dependent patients had 43% significantly lower prevalence of NAFLD compared to non-dependent patients (AOR: 0.57[0.42–0.77]; p<0.0001). Our observations suggest that cannabis use is associated with lower prevalence of NAFLD in patients. These novel findings suggest additional molecular mechanistic studies to explore the potential role of cannabis use in NAFLD development.
Background Abusive alcohol use has well‐established health risks including causing liver disease (ALD) characterized by alcoholic steatosis (AS), steatohepatitis (AH), fibrosis, cirrhosis (AC) and hepatocellular carcinoma (HCC). Strikingly, a significant number of individuals who abuse alcohol also use Cannabis, which has seen increased legalization globally. While cannabis has demonstrated anti‐inflammatory properties, its combined use with alcohol and the development of liver disease remain unclear. Aim The aim of this study was to determine the effects of cannabis use on the incidence of liver disease in individuals who abuse alcohol. Methods We analysed the 2014 Healthcare Cost and Utilization Project‐Nationwide Inpatient Sample (NIS) discharge records of patients 18 years and older, who had a past or current history of abusive alcohol use (n = 319 514). Using the International Classification of Disease, Ninth Edition codes, we studied the four distinct phases of progressive ALD with respect to three cannabis exposure groups: non‐cannabis users (90.39%), non‐dependent cannabis users (8.26%) and dependent cannabis users (1.36%). We accounted for the complex survey sampling methodology and estimated the adjusted odds ratio (AOR) for developing AS, AH, AC and HCC with respect to cannabis use (SAS 9.4). Results Our study revealed that among alcohol users, individuals who additionally use cannabis (dependent and non‐dependent cannabis use) showed significantly lower odds of developing AS, AH, AC and HCC (AOR: 0.55 [0.48‐0.64], 0.57 [0.53‐0.61], 0.45 [0.43‐0.48] and 0.62 [0.51‐0.76]). Furthermore, dependent users had significantly lower odds than non‐dependent users for developing liver disease. Conclusions Our findings suggest that cannabis use is associated with a reduced incidence of liver disease in alcoholics.
Background About 50% of patients with cancer who have undergone surgery suffer from cancer-related pain (CP). The use of opioids for postoperative pain management presents the potential for overdose, especially among these patients. Objective The primary objective of this study was to determine the association between CP and postoperative opioid overdose among inpatients who had undergone major elective procedures. The secondary objective was to assess the relationship between CP and inpatient mortality, total hospital charge, and length of stay in this population. Methods Data of adults 18 years and older from the National Inpatient Sample (NIS) were analyzed. Variables were identified using ICD-9 codes. Propensity-matched regression models were employed in evaluating the association between CP and outcomes of interest. Results Among 4,085,355 selected patients, 0.8% (N = 2,665) had CP, whereas 99.92% (N = 4,082,690) had no diagnosis of CP. We matched patients with CP (N = 2,665) and no CP (N = 13,325) in a 1:5 ratio. We found higher odds of opioid overdose (adjusted odds ratio [aOR] = 4.82, 95% confidence interval [CI] = 2.68–8.67, P < 0.0001) and inpatient mortality (aOR = 1.39, 95% CI = 1.11–1.74, P = 0.0043) in patients with CP vs no CP. Also, patients with CP were more likely to stay longer in the hospital (12.76 days vs 7.88 days) with higher total hospital charges ($140,220 vs $88,316). Conclusions CP is an independent risk factor for opioid overdose, increased length of stay, and increased total hospital charges.
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