Major adverse events related to endoscopic or laparoscopic procedures in achalasia. A systematic review and meta-analysis.

INTRODUCTION AND AIMS: Surgical or endoscopic treatments play an essential role in the management of achalasia. The probability of adverse events in the performance of said treatments is a relevant aspect, when establishing the risk-benefit balance. The present study aimed to establish the association between serious adverse events and the performance of those procedures, in adult patients with achalasia. MATERIALS AND METHODS: A systemic search of randomized and nonrandomized clinical trials, retrospective cohorts, and cases series on adult patients with achalasia that underwent laparoscopic Heller myotomy (LHM), peroral endoscopic myotomy (POEM), or endoscopic balloon dilation, that reported serious adverse events, was carried out on the Medline, CENTRAL, and EBSCO databases. Serious adverse events were defined as: death at 30 days, Clavien-Dindo grade III or higher classification, esophageal or gastric perforation, pneumothorax, mucosal tear, leakage, emphysema, pneumonia, and chest pain. The methodology included the PRISMA guidelines for reporting systematic reviews. RESULTS: Thirty-five studies were found that reported information on 1,276 patients that underwent POEM, 5,492 that underwent LHM, and 10,346 that underwent endoscopic balloon dilation. The proportions of adverse events for the three techniques were 3.6, 4.9, and 3.1%, respectively. DISCUSSION AND CONCLUSIONS: The 3 therapeutic interventions evaluated had similar proportions of adverse events. There were few reports of death at 30 days as an outcome and the lack of standardization in reporting adverse events in the studies analyzed was prominent.

Reducing the heterogeneity in hepatocellular carcinoma. A cluster analysis based on clinical variables in patients treated at a quaternary care hospital.

INTRODUCTION AND AIMS: Even though the term hepatocellular carcinoma designates the most common type of primary liver cancer, the disease has a high level of heterogeneity due to its etiology, geographic variation, behavior, and association with specific genetic alterations. The aim of the present study was to establish, through a cluster analysis, the clinical characteristics that enable homogeneous conglomerates to be defined. MATERIALS AND METHODS: An exploratory cluster analysis was developed utilizing the K-means method for sub-classifying 119 cases of patients with hepatocellular carcinoma. Sixty-two of those patients met the inclusion criteria, as well as none of the exclusion criteria. For the cluster analysis, an n-dimensional space was defined, in which n was equal to the number of variables included in the study (n = 17). The spatial coordinates corresponded to any possible magnitude between the minimum and maximum values of the variables analyzed (age, sex, tumor volume, AFP, AST, DB, Alb, Na, INR, Cr, HBV, HCV, OH, NASH, cirrhosis, multiple tumors, and neotumor). RESULTS: Four patterns with homogeneous clinical characteristics were identified, in which age at presentation, history of hepatitis B virus infection, altered liver profile with cholestatic dominance, and low albumin levels were associated with an apparently worse outcome. CONCLUSIONS: How heterogeneity in hepatocellular carcinoma could be reduced was shown through utilizing an unsupervised learning method to define specific subgroups, in whom known pathophysiologic mechanisms could better explain tumor behavior and define the determining prognostic factors related to the subgroups.

Reducing the heterogeneity in hepatocellular carcinoma. A cluster analysis based on clinical variables in patients treated at a quaternary care hospital. / Disminuyendo la heterogeneidad en hepatocarcinoma. Análisis de clúster por variables clínicas en pacientes atendidos en una institución de cuarto nivel de complejidad.

INTRODUCTION AND OBJECTIVE: Even though the term hepatocellular carcinoma designates the most common type of primary liver cancer, the disease has a high level of heterogeneity due to its etiology, geographic variation, behavior, and association with specific genetic alterations. The aim of the present study was to establish, through a cluster analysis, the clinical characteristics that enable homogeneous conglomerates to be defined. MATERIALS AND METHODS: An exploratory cluster analysis was developed utilizing the K-means method for sub-classifying 119 cases of patients with hepatocellular carcinoma. Sixty-two of those patients met the inclusion criteria, as well as none of the exclusion criteria. For the cluster analysis, an n-dimensional space was defined, in which n was equal to the number of variables included in the study (n = 17). The spatial coordinates corresponded to any possible magnitude between the minimum and maximum values of the variables analyzed (age, sex, tumor volume, AFP, AST, DB, Alb, Na, INR, Cr, HBV, HCV, OH, NASH, cirrhosis, multiple tumors, and neotumor). RESULTS: Four patterns with homogeneous clinical characteristics were identified, in which age at presentation, history of hepatitis B virus infection, altered liver profile with cholestatic dominance, and low albumin levels were associated with an apparently worse outcome. CONCLUSION: How heterogeneity in hepatocellular carcinoma could be reduced was shown through utilizing an unsupervised learning method to define specific subgroups, in whom known pathophysiologic mechanisms could better explain tumor behavior and define the determining prognostic factors related to the subgroups.