Background and AimAcute kidney injury (AKI) is a common complication of chronic liver disease (CLD). We performed a prospective study to evaluate the risk factors and spectrum of AKI among decompensated cirrhosis (DC) patients and the impact of AKI on survival.MethodsThis study was conducted in consecutive DC patients hospitalized in SCB Medical College between December 2016 and October 2018. AKI was defined as per ICA criteria. Demographic, clinical, and laboratory parameters and outcomes were compared between patients with and without AKI.ResultsA total of 576 DC subjects were enrolled, 315 (54.69%) of whom had AKI; 34% (n = 106) had stage 1A, 28% (n = 90) stage 1B, 21% (n = 65) stage 2, and 17% (n = 54) stage 3 AKI. Alcohol was the predominant cause of CLD (66.7%). In 207 (65.7%) patients, diuretic/lactulose/nonsteroidal anti‐inflammatory drugs use was noted, and infection was present in 190 (60.3%) patients. Compared to those without AKI, patients with AKI had higher leucocyte count, higher serum urea and creatinine, higher Child‐Turcotte‐Pugh, higher Model of End‐Stage Liver Disease (MELD) scores (P < 0.001), longer hospital stay, and lower survival at 28 days and 90 days (P < 0.001). Besides, in patients with stages 1A to 3 AKI, there were differences in overall survival at 28 days (P < 0.001) and 90 days (P < 0.001).ConclusionsOver half of DC patients had AKI, and alcohol was the most common cause of cirrhosis in them. Use of AKI‐precipitating medications was the most common cause of AKI, followed by bacterial infection. AKI patients had increased prevalence of acute‐on‐chronic liver failure and had prolonged hospitalization and lower survival both at 28 days and 90 days.

Artificial intelligence (AI) is a computer system that is able to perform tasks which normally require human intelligence. The role of AI in the field of gastroenterology has been gradually evolving since its inception in the 1950s. Discovery of wireless capsule endoscopy (WCE) and balloon enteroscopy (BE) has revolutionized small gut imaging. While WCE is a relatively patient-friendly and noninvasive mode to examine the nonobstructed small gut, it is limited by a lengthy examination time and the need for expertise in reading images acquired by the capsule. Similarly, BE, despite having the advantage of therapeutic intervention, is costly, invasive, and requires general sedation. Incorporation of concepts like machine learning and deep learning has been used to handle large amounts of data and images in gastroenterology. Interestingly, in small gut imaging, the application of AI has been limited to WCE only. This review was planned to examine and summarize available published data on various AI-based approaches applied to small bowel disease. We conducted an extensive literature search using Google search engine, Google Scholar, and PubMed database for published literature in English on the application of different AI techniques in small bowel endoscopy, and have summarized the outcome and benefits of these applications of AI in small bowel endoscopy. Incorporation of AI in WCE has resulted in significant advancements in the detection of various lesions starting from dysplastic mucosa, inflammatory and nonmalignant lesions to the detection of bleeding with increasing accuracy and has shortened the lengthy review time in image analysis. As most of the studies to evaluate AI are retrospective, the presence of inherent selection bias cannot be excluded. Besides, the interpretability (black-box nature) of AI models remains a cause for concern. Finally, issues related to medical ethics and AI need to be judiciously addressed to enable its seamless use in future.

No abstract

past two days. A physical examination revealed only the presence of mild hepatomegaly. As part of a routine work up for pyrexia of unknown origin (PUO), a chest x-ray performed revealed multiple bilateral nodular lesions. A subsequent contrast enhanced CT scan of the chest showed bilateral heterogeneously enhancing mass lesions, with features suggestive of a neoplastic aetiology.The patient rapidly deteriorated, developing neurological symptoms, (GCS: 3). Brain imaging studies reiterated the high probability of metastatic lesions. However, in view of the patient's symptomatology and his immunocompromised state, fungal assays were sent and serology revealed a positive Aspergillus antigen.Results: We report an unusual presentation of Invasive Aspergillosis in a patient with well controlled Aplastic Anaemia. The initial diagnosis misleadingly pointed towards neoplastic lesions in the lung with metastasis to the brain. IMAGE 1: Periodic acid Schiff (PAS) stain showing the hyphae of the fungal species (H&E; 400x) IMAGE 2: Contrast enhanced CT shows multiple lung nodules. CT guided biopsy was suggestive of aspergilloma IMAGE 3: Contrast enhanced CT brain shows multiple nonenhancing hypodense lesions in bilateral cerebral hemispheres Conclusion: This case exemplifies that a high index of clinical suspicion and an increased awareness of the possibility of invasive aspergillosis is paramount in improving patient outcomes. It also serves to show the difficulties faced with the parallel use of different treatment regimens and how unconventional treatment protocols may sometimes prove effective.

Background: The occurrence of acute kidney injury (AKI) in acute-on-chronic liver failure (ACLF) negatively impacts the survival of patients. There are scant data on the impact of serum urea on outcomes in these patients. We performed this study to evaluate the relationship between admission serum urea and the survival in patients with ACLF and AKI. Methods: A prospective study was conducted on patients with ACLF (as per Asian Pacific Association for the Study of the Liver criteria) and AKI (as per Acute Kidney Injury Network criteria) hospitalized in the gastroenterology ward between October 2016 and May 2018. Demographic, clinical and laboratory parameters were recorded, and outcomes were compared in patients with respect to the admission serum urea level. Results: A total of 103 of 143 hospitalized patients with ACLF had AKI and were included as study subjects. The discrimination ability between survivors and the deceased was similar for serum urea levels (area under the receiver operating characteristic curve [AUROC] [95% confidence interval {CI}]: 28 days survival, 0.76 [0.67-0.85]; 90 days survival, 0.81 [0.72-0.91]) and serum creatinine levels (AUROC [95% CI]: 28 days survival, 0.75 [0.66-0.84]; 90 days survival: 0.77 [0.67-0.88]) in patients with ACLF and AKI. However, on multivariate analysis, admission serum urea (not serum creatinine) was an independent predictor of mortality in these patients both at 28 days (p = 0.001, adjusted hazard ratio [