Gastrointestinal symptoms and disorders related to COVID-19. Lessons learned from gastroenterologists

COVID-19 is mainly a respiratory illness caused by the SARS-CoV-2 but can also lead to GI symptoms. The primary host receptor which mediates the mechanism as SARS-CoV-2 enters the cell is the ACE2 receptor. Therefore, GI symptoms can be common in COVID-19, and in some cases, they are the first manifestation even before fever and respiratory symptoms. In addition, the liver function tests alteration often is related to a worse prognosis. The exact incidence of GI symptoms is a matter of debate. Moreover, wide variation concerning GI symptoms frequency exists, but the predominant ones seem to be diarrhea, anorexia, nausea, vomiting, and abdominal pain or discomfort. This review summarizes the most relevant findings of COVID-19 on the digestive system, including the liver, biliary tract, pancreas, the most common GI symptoms, and the atypical clinical GI manifestations

PROTON PUMP INHIBITORS INCREASE THE OVERALL RISK OF DEVELOPING BACTERIAL INFECTIONS IN PATIENTS WITH CIRRHOSIS

ABSTRACT BACKGROUND: Acid suppression has been associated with adverse events; such as, enteric infections. Proton pump inhibitors (PPI) are frequently prescribed in patients with cirrhosis, but is unclear if PPI are associated with the development of bacterial infections in these patients. OBJECTIVE: To assess the impact of PPI intake on the development of bacterial, viral and fungal infections in patients with cirrhosis. METHODS: An observational, retrospective, historic cohort study. The exposed cohort included patients with cirrhosis with chronic use of PPI. The non-exposed cohort had not been using PPI. The follow-up period was 3 years, searching in the medical records for any events of bacterial infection confirmed by bacteriological culture. RESULTS: One hundred and thirteen patients met the selection criteria, 44 (39%) had chronic use of PPI; of them, 28 (63.6%) patients had not a clear clinical indication to justify the prescription of PPI. Twenty four (21.2%) patients developed bacterial infections during the follow-up period. In the univariate analysis, decompensated cirrhosis (Child B/C), presence of ascites, history of variceal bleeding, and chronic consumption of PPI were risk factors related to the development of infections. But, in the adjusted multivariate analysis only the chronic use of PPI was associated with development of infections (RR=3.6; 95% CI=1.1-12.3; P=0.04). CONCLUSION: There is an over-prescription of PPI without a justified clinical indication. The long-term consumption of PPI in patients with cirrhosis is associated with the development of bacterial infections; therefore these drugs must be carefully prescribed in this specific population

Primary Prophylaxis to Prevent the Development of Hepatic Encephalopathy in Cirrhotic Patients with Acute Variceal Bleeding

Background and Aim. Variceal bleeding is the second most important precipitating factor related to the development of episodic hepatic encephalopathy; but to date there are no recommendations to prevent this complication. The aim of this study was to compare if primary prophylaxis with lactulose or L-ornithine L-aspartate or rifaximin, in cirrhotic patients with variceal bleeding, is better than placebo for avoiding the development of hepatic encephalopathy. Methods. A randomized, double-blind, placebo-controlled clinical trial (ClinicalTrials.gov identifier: NCT02158182) which included cirrhotic patients with variceal bleeding, without minimal or clinical hepatic encephalopathy at admission. Findings. 87 patients were randomized to one of four groups. The basal characteristics were similar between groups. Comparatively with placebo, the frequency with regard to the development of hepatic encephalopathy was as follows: lactulose (54.5% versus 27.3%; OR = 0.3, 95% CI 0.09-1.0; P = 0.06); L-ornithine L-aspartate (54.5% versus 22.7%, OR = 0.2, 95% CI 0.06-0.88; P = 0.03); rifaximin (54.5% versus 23.8%; OR = 0.3, 95% CI 0.07-0.9; P = 0.04). There was no significant difference between the three groups receiving any antiammonium drug (P = 0.94). In the group receiving lactulose, 59.1% had diarrhea, and 45.5% had abdominal discomfort, bloating, and flatulence. Two patients (10%) treated with lactulose and a patient (4.5%) in the placebo group developed spontaneous bacterial peritonitis due to E. coli; one of them died due to recurrent variceal bleeding. There were no other adverse effects. Conclusions. Antiammonium drugs, particularly L-ornithine L-aspartate and rifaximin, proved to be effective in preventing the development of hepatic encephalopathy in those cirrhotic patients with variceal bleeding

The Age-AST-D Dimer (AAD) Regression Model Predicts Severe COVID-19 Disease

Aim. Coronavirus disease (COVID-19) ranges from mild clinical phenotypes to life-threatening conditions like severe acute respiratory syndrome (SARS). It has been suggested that early liver injury in these patients could be a risk factor for poor outcome. We aimed to identify early biochemical predictive factors related to severe disease development with intensive care requirements in patients with COVID-19. Methods. Data from COVID-19 patients were collected at admission time to our hospital. Differential biochemical factors were identified between seriously ill patients requiring intensive care unit (ICU) admission (ICU patients) versus stable patients without the need for ICU admission (non-ICU patients). Multiple linear regression was applied, then a predictive model of severity called Age-AST-D dimer (AAD) was constructed (n=166) and validated (n=170). Results. Derivation cohort: from 166 patients included, there were 27 (16.3%) ICU patients that showed higher levels of liver injury markers (P<0.01) compared with non-ICU patients: alanine aminotrasnferase (ALT) 225.4±341.2 vs. 41.3±41.1, aspartate aminotransferase (AST) 325.3±382.4 vs. 52.8±47.1, lactic dehydrogenase (LDH) 764.6±401.9 vs. 461.0±185.6, D-dimer (DD) 7765±9109 vs. 1871±4146, and age 58.6±12.7 vs. 49.1±12.8. With these finding, a model called Age-AST-DD (AAD), with a cut-point of <2.75 (sensitivity=0.797 and specificity=0.391, c−statistic=0.74; 95%IC: 0.62-0.86, P<0.001), to predict the risk of need admission to ICU (OR=5.8; 95% CI: 2.2-15.4, P=0.001), was constructed. Validation cohort: in 170 different patients, the AAD model<2.75 (c−statistic=0.80 (95% CI: 0.70-0.91, P<0.001) adequately predicted the risk (OR=8.8, 95% CI: 3.4-22.6, P<0.001) to be admitted in the ICU (27 patients, 15.95%). Conclusions. The elevation of AST (a possible marker of early liver injury) along with DD and age efficiently predict early (at admission time) probability of ICU admission during the clinical course of COVID-19. The AAD model can improve the comprehensive management of COVID-19 patients, and it could be useful as a triage tool to early classify patients with a high risk of developing a severe clinical course of the disease