Kashyap, Rahul

Background/Objectives: Sodium glucose co-transporter 2 inhibitors (SGLT2is) have demonstrated a reduction in heart failure (HF) hospitalizations in HF patients and decreased recurrence of atrial fibrillation (AF), including in those who have undergone catheter ablation (CA). The effects of SGLT2i are likely due to suppression of the renin–angiotensin–aldosterone system, reduction in oxidative stress with subsequent improvement in myocardial efficiency, and attenuation of cardiac remodeling. We aim to present the effects of SGLT2i on AF recurrence in patients who have undergone CA for AF. Methods: This is a systematic review and meta-analysis of randomized controlled trials (RCTs) and retrospective studies evaluating the effect of SGLT2i on AF recurrence following CA compared with non-SGLT2i. The primary outcome was the recurrence of AF by the final follow-up reported in each study. Secondary outcomes include AF recurrence by the first follow-up within 12 to 24 months and follow-up intervals (6, 12, 18, 24, and 36 to 42 months) post-ablation, multivariate risk of AF recurrence, and the effect on left atrial diameter (LAD) (less than 45 mm vs. greater than or equal to 45 mm). For risk of bias (ROB) analysis, the NIH ROB and Cochrane ROB2 tool were used. All statistical, heterogeneity, and sensitivity analyses were conducted using Cochrane Review Manager. A random-effect model was employed for all pooled statistical analyses. Results: A total of nine studies, two RCTs and seven retrospective studies, were included (N = 6874) for the primary outcome. Compared to non-SGLT2i (N = 3693), SGLT2i (N = 3181) significantly decreased AF recurrence by the final follow-up (OR = 0.62; 95% CI: 0.45–0.85; p = 0.008). For secondary outcomes, SGLT2i significantly reduced AF recurrence by the first follow-up within 12 to 24 months post-ablation (OR = 0.58; p = 0.0001) and by the different follow-up periods, 6-month (OR = 0.53; p = 0.02), 12-month (OR = 0.56; p = 0.0001), 18-month (OR = 0.55; p = 0.01), and 24-month (OR = 0.60; p = 0.12) follow-up periods. On the other hand, by 36 to 42 months, SGLT2i was associated with increased risk of AF recurrence (OR = 1.41; p = 0.004). Conclusions: We conclude that SGLT2i demonstrated a reduction in AF recurrence following CA, particularly by 12 to 18 months post-ablation.

The AI-MIRACLE Study investigates the efficacy of using ChatGPT 4.0, a large language model (LLM), for translating and simplifying radiology reports into multiple languages, aimed at enhancing patient comprehension. The study assesses the model’s performance across the most spoken languages in the U.S., emphasizing the accuracy and clarity of translated and simplified radiology reports for non-medical readers. This study employed ChatGPT 4.0 to translate and simplify selected radiology reports into Vietnamese, Tagalog, Spanish, Mandarin, and Arabic. Hindi was used as a preliminary test language for validation of the questionnaire. Performance was assessed via Google form surveys distributed to bilingual physicians, which assessed the translation accuracy and clarity of simplified texts provided by ChatGPT 4. Responses from 24 participants showed mixed results. The study underscores the model’s varying success across different languages, emphasizing both potential applications and limitations. ChatGPT 4.0 shows promise in breaking down language barriers in healthcare settings, enhancing patient comprehension of complex medical information. However, the performance is inconsistent across languages, indicating a need for further refinement and more inclusive training of AI models to handle diverse medical contexts and languages. The study highlights the role of LLMs in improving healthcare communication and patient comprehension, while indicating the need for continued advancements in AI technology, particularly in the translation of low-resource languages.

Background and Objectives: Bartter syndrome (BS) is a rare group of autosomal-recessive disorders that usually presents with hypokalemic metabolic alkalosis, occasionally with hyponatremia and hypochloremia. The clinical presentation of BS is heterogeneous, with a wide variety of genetic variants. The aim of this systematic review was to examine the available literature and provide an overview of the case reports and case series on BS. Materials and Methods: Case reports/series published from April 2012 to April 2022 were searched through Pubmed, JSTOR, Cochrane, ScienceDirect, and DOAJ. Subsequently, the information was extracted in order to characterize the clinical presentation, laboratory results, treatment options, and follow-up of the patients with BS. Results: Overall, 118 patients, 48 case reports, and 9 case series (n = 70) were identified. Out of these, the majority of patients were male (n = 68). A total of 21 patients were born from consanguineous marriages. Most cases were reported from Asia (73.72%) and Europe (15.25%). In total, 100 BS patients displayed the genetic variants, with most of these being reported as Type III (n = 59), followed by Type II (n = 19), Type I (n = 14), Type IV (n = 7), and only 1 as Type V. The most common symptoms included polyuria, polydipsia, vomiting, and dehydration. Some of the commonly used treatments were indomethacin, potassium chloride supplements, and spironolactone. The length of the follow-up time varied from 1 month to 14 years. Conclusions: Our systematic review was able to summarize the clinical characteristics, presentation, and treatment plans of BS patients. The findings from this review can be effectively applied in the diagnosis and patient management of individuals with BS, rendering it a valuable resource for nephrologists in their routine clinical practice.

Abstract Background Structural valve dysfunction in bioprosthetic heart valves necessitates redo replacement procedure that are associated with high mortality and morbidity. The transcatheter valve-in-valve (VIV) approach has emerged as a preferred option for patients requiring redo procedures due to structural valve degeneration. We report from India the first case of the simultaneous transcatheter dual VIV implantation (mitral valve and tricuspid valves) in a high-surgical-risk patient. Case summary A 57-year-old female was presented with a history of rheumatic heart disease, post-mitral valve as well as tricuspid valve replacement (perimount 33 mm) 11 years back. Bioprosthetic heart valve was chosen probably due to limited life expectancy and compliance issues with monitoring of international normalised ratio (INR). She now presented with progressive dyspnoea, oedema, and palpitations (New York Heart Association Class III) for the last 6 months. The patient was scheduled for transcatheter dual valve replacement simultaneously. The procedure was successful with a favourable outcome, short hospital stays, and early recovery. Discussion This is the first case of simultaneous transcatheter dual valve replacement reported from India, which is fluoroscopically guided and supported by TEE. It is a valuable and considerable option for patients with failing bioprosthesis valves who are at increased peri-operative risk.

Background and Objective: The association of non-alcoholic fatty liver disease (NAFLD) and metabolic-associated fatty liver disease (MAFLD) with intensive care unit (ICU) admissions and the need for mechanical ventilation and disease severity in COVID-19 patients. Material and Methods: A systematic literature review was conducted on the databases: Cochrane, Embase, PubMed, ScienceDirect, and the Web of Science from January 2019 to June 2022. Studies evaluating MAFLD using laboratory methods, non-invasive imaging, or liver biopsy were included. The study protocol was registered in PROSPERO (ID CRD42022313259), and PRISMA guidelines were followed. The NIH quality assessment tool was used for quality assessment. RevMan version 5.3 software was used for pooled analysis. A sensitivity analysis was performed to assess the result’s stability. Results: A total of 37,974 patients from 17 studies were assessed for the association between MAFLD and ICU admission. A total of 3396 COVID-19 patients required ICU admission: 1236 (20.41%) in the MAFLD group and 2160 (6.77%) in the non-MAFLD group. The odds ratio was 1.86 for ICU admission, p = 0.007, and a (95% CI) of [1.18–2.91]. A total of 37,166 patients from 13 studies were included in the need for invasive mechanical ventilation analysis. A total of 1676 patients required mechanical ventilation: 805 in the MAFLD group (14.20% of all MAFLD patients) and 871 patients in the non-MAFLD group (2.76% of all non-MAFLD patients). The odds ratio was 2.05, p = 0.02, and a (95% CI) of [1.12–3.74]. A total of 5286 patients from 14 studies were included in the COVID-19 disease severity analysis. Severe COVID-19 was seen in 1623 patients, with 33.17% (901/2716) of MAFLD patients and 28.09% (722/2570) of non-MAFLD patients having severe disease. The odds ratio was 1.59 for disease severity, p = 0.010, and a (95% CI) of [1.12–2.26]. Conclusions: Our meta-analysis suggests that there are significantly increased odds of ICU admissions, a need for invasive mechanical ventilation, and disease severity in MAFLD patients who acquire COVID-19.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to complex decision‐making. However, applications in different specialities are variable and generally limited. Like other conditions, the number of studies employing ML in hypertension research is growing rapidly. In this study, we aimed to survey hypertension research using ML, evaluate the reporting quality, and identify barriers to ML's potential to transform hypertension care. Methods and Results The Harmonious Understanding of Machine Learning Analytics Network survey questionnaire was applied to 63 hypertension‐related ML research articles published between January 2019 and September 2021. The most common research topics were blood pressure prediction (38%), hypertension (22%), cardiovascular outcomes (6%), blood pressure variability (5%), treatment response (5%), and real‐time blood pressure estimation (5%). The reporting quality of the articles was variable. Only 46% of articles described the study population or derivation cohort. Most articles (81%) reported at least 1 performance measure, but only 40% presented any measures of calibration. Compliance with ethics, patient privacy, and data security regulations were mentioned in 30 (48%) of the articles. Only 14% used geographically or temporally distinct validation data sets. Algorithmic bias was not addressed in any of the articles, with only 6 of them acknowledging risk of bias. Conclusions Recent ML research on hypertension is limited to exploratory research and has significant shortcomings in reporting quality, model validation, and algorithmic bias. Our analysis identifies areas for improvement that will help pave the way for the realization of the potential of ML in hypertension and facilitate its adoption.

Introduction: Acinetobacter baumannii (AB) is a multidrug-resistant pathogen commonly associated with nosocomial infections. The resistance profile and ability to produce biofilm make it a complicated organism to treat effectively. Cefoperazone sulbactam (CS) is commonly used to treat AB, but the associated data are scarce. Methods: We conducted a systematic review of articles downloaded from Cochrane, Embase, PubMed, Scopus, and Web of Science (through June 2022) to study the efficacy of CS in treating AB infections. Our review evaluated patients treated with CS alone and CS in combination with other antibiotics separately. The following outcomes were studied: clinical cure, microbiological cure, and mortality from any cause. Results: We included 16 studies where CS was used for the treatment of AB infections. This included 11 studies where CS was used alone and 10 studies where CS was used in combination. The outcomes were similar in both groups. We found that the pooled clinical cure, microbiological cure, and mortality with CS alone for AB were 70%, 44%, and 20%, respectively. The pooled clinical cure, microbiological cure, and mortality when CS was used in combination with other antibiotics were 72%, 43%, and 21%, respectively. Conclusions: CS alone or in combination needs to be further explored for the treatment of AB infections. There is a need for randomized controlled trials with comparator drugs to evaluate the drug’s effectiveness.

Abstract Background CERTAIN (Checklist for Early Recognition and Treatment of Acute Illness and iNjury) education program was developed to accelerate the global dissemination of a standardized, systemic, structured approach to critical care delivery. The coronavirus disease (COVID-19) pandemic prompted the evolution of this program from a live in-person course to a blended synchronous and asynchronous learning experience, including virtual simulation. Objectives We describe our experience and insights gained through this digital program transformation and highlight areas in need of further research to advance the delivery of high-quality online education offerings to global interprofessional audiences. Methods The CERTAIN education program was delivered to a broad international audience first in person (2016–2019) and then virtually during the COVID-19 global pandemic (2020–present). During this transition, we adopted a flipped classroom model to deliver the core content asynchronously using an online learning management system, supplemented by a novel synchronous online experience to provide learners with the opportunity to apply these concepts using a series of simulated clinical cases. Results A total of 400 participants attended 11 CERTAIN courses. We transitioned our 10-hour live course to a 3-hour virtual workshop. The duration of simulation activities (admission, rounding, and shared decision-making) remained constant. Didactic lectures were eliminated from the synchronous online course and presented as recorded videos in precourse materials. We collected 306 postcourse surveys (response rate, 76.5%). The majority of the overall course ratings were excellent (147 [49.5%]) and very good (97 [32.7%]), and learner responses were similar to live and online courses. Simulation activities were consistently the most popular elements of our program. Access to digital learning platforms and language barriers during simulation activities proved to be the greatest challenges during our transition. Delivering mobile-friendly online content and close coordination between dedicated bilingual faculty and local champions helped overcome these challenges. Conclusion Critical care education and case-based simulation workshops can be delivered to international interprofessional audiences with similar, high degrees of learner satisfaction to in-person offerings.