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Am I Sedated or in Pain? Please Monitor by Brain. 我是镇静还是疼痛?请通过大脑进行监测。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24744
Sachin Gupta, Deeksha S Tomar

How to cite this article: Gupta A, Tomar DS. Am I Sedated or in Pain? Please Monitor by Brain. Indian J Crit Care Med 2024;28(6):531-532.

如何引用本文:Gupta A, Tomar DS.我是镇静还是疼痛?请用大脑监测。Indian J Crit Care Med 2024;28(6):531-532.
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引用次数: 0
End-of-life Care Patient Information Leaflets-A Comparative Evaluation of Artificial Intelligence-generated Content for Readability, Sentiment, Accuracy, Completeness, and Suitability: ChatGPT vs Google Gemini. 临终关怀患者信息手册--人工智能生成内容在可读性、情感、准确性、完整性和适用性方面的比较评估:ChatGPT 与谷歌双子星。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24725
Prakash G Gondode, Puneet Khanna, Pradeep Sharma, Sakshi Duggal, Neha Garg

Background: End-of-life care (EOLC) is a critical aspect of healthcare, yet accessing reliable information remains challenging, particularly in culturally diverse contexts like India.

Objective: This study investigates the potential of artificial intelligence (AI) in addressing the informational gap by analyzing patient information leaflets (PILs) generated by AI chatbots on EOLC.

Methodology: Using a comparative research design, PILs generated by ChatGPT and Google Gemini were evaluated for readability, sentiment, accuracy, completeness, and suitability. Readability was assessed using established metrics, sentiment analysis determined emotional tone, accuracy, and completeness were rated by subject experts, and suitability was evaluated using the Patient Education Materials Assessment Tool (PEMAT).

Results: Google Gemini PILs exhibited superior readability and actionability compared to ChatGPT PILs. Both conveyed positive sentiments and high levels of accuracy and completeness, with Google Gemini PILs showing slightly lower accuracy scores.

Conclusion: The findings highlight the promising role of AI in enhancing patient education in EOLC, with implications for improving care outcomes and promoting informed decision-making in diverse cultural settings. Ongoing refinement and innovation in AI-driven patient education strategies are needed to ensure compassionate and culturally sensitive EOLC.

How to cite this article: Gondode PG, Khanna P, Sharma P, Duggal S, Garg N. End-of-life Care Patient Information Leaflets-A Comparative Evaluation of Artificial Intelligence-generated Content for Readability, Sentiment, Accuracy, Completeness, and Suitability: ChatGPT vs Google Gemini. Indian J Crit Care Med 2024;28(6):561-568.

背景:临终关怀(EOLC)是医疗保健的一个重要方面,但获取可靠的信息仍具有挑战性,尤其是在印度这样的文化多样性背景下:本研究通过分析人工智能聊天机器人生成的临终关怀患者信息传单(PIL),探讨人工智能(AI)在解决信息鸿沟方面的潜力:采用比较研究设计,对 ChatGPT 和 Google Gemini 生成的 PIL 进行了可读性、情感、准确性、完整性和适用性评估。可读性使用既定指标进行评估,情感分析确定情感基调,准确性和完整性由主题专家评定,适宜性使用患者教育材料评估工具(PEMAT)进行评估:结果:与 ChatGPT PIL 相比,Google Gemini PIL 的可读性和可操作性更胜一筹。两者都传达了积极的情感,准确性和完整性都很高,但谷歌双子座 PIL 的准确性得分略低:研究结果凸显了人工智能在加强 EOLC 患者教育方面的重要作用,对改善护理效果和促进不同文化背景下的知情决策具有重要意义。需要不断完善和创新人工智能驱动的患者教育策略,以确保提供富有同情心和文化敏感性的临终关怀:Gondode PG, Khanna P, Sharma P, Duggal S, Garg N. End-of-life Care Patient Information Leaflets-A Comparative Evaluation of Artificial Intelligence-generated Content for Readability, Sentiment, Accuracy, Completeness, and Suitability:ChatGPT vs Google Gemini。Indian J Crit Care Med 2024;28(6):561-568.
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引用次数: 0
Large Language Model in Critical Care Medicine: Opportunities and Challenges. 重症医学中的大语言模式:机遇与挑战。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24743
Sameera Hajijama, Deven Juneja, Prashant Nasa

How to cite this article: Hajijama S, Juneja D, Nasa P. Large Language Model in Critical Care Medicine: Opportunities and Challenges. Indian J Crit Care Med 2024;28(6):523-525.

如何引用本文:Hajijama S, Juneja D, Nasa P. Large Language Model in Critical Care Medicine:机遇与挑战。Indian J Crit Care Med 2024;28(6):523-525.
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引用次数: 0
RT-PCR Result of SARS-CoV-2 Viral RNA in Cadavers and Viral Transmission Risk to Handlers. 尸体中 SARS-CoV-2 病毒 RNA 的 RT-PCR 检测结果及处理者感染病毒的风险。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24730
Bandita Panda, Nipa Singh, Gyanraj Singh, A Raj K Patro, Ambika P Mohanty, Pradeep K Patnaik, Ramnath Misra

During the onset of the pandemic, a common research question was asked by the hospital staff, and family members who were handling COVID-19-infected cadavers, "does COVID-19-positive dead body harbor SARS-CoV-2 viral RNA?" Several research findings were reported but due to the lack of proper research findings, the question remained unanswered. The present study was planned to observe the virus transmission risk from cadavers to the handlers. A pilot study was conducted on 54 cadavers who died in COVID-ICU (SARS-CoV-2-positive diagnosed by RT-PCR) during 2021-2022. Skin swab sample from 54 dead bodies and 54 glove samples of handlers were taken within 1 hour of death for the RT-PCR test. Viability results from RT-PCR show that the infection risk was 50% in cadavers, whereas the transmission risk to handlers while handling was 7%, which is minimal. The SARS-CoV-2 viability was high in cases of those died after a long time of infection. Based on the RT-PCR result and data analysis the interpretation of the study was that the SARS-CoV-2 transmission risk from dead bodies to the handlers is minimal but the SARS-CoV-2 viability persists in the cadavers. This fact is helpful for the people who will conduct funeral activities, autopsy staff, and hospital staff handling dead bodies.

How to cite this article: Panda B, Singh N, Singh G, Patro ARK, Mohanty AP, Patnaik PK, et al. RT-PCR Result of SARS-CoV-2 Viral RNA in Cadavers and Viral Transmission Risk to Handlers. Indian J Crit Care Med 2024;28(6):614-616.

在疫情爆发期间,医院工作人员和处理 COVID-19 感染尸体的家属提出了一个常见的研究问题:"COVID-19 阳性尸体是否携带 SARS-CoV-2 病毒 RNA?"有一些研究结果被报道,但由于缺乏适当的研究结果,这个问题仍然没有答案。本研究计划观察尸体将病毒传播给处理人员的风险。本研究对 2021-2022 年期间在 COVID-ICU 死亡的 54 具尸体(经 RT-PCR 诊断为 SARS-CoV-2 阳性)进行了试点研究。研究人員在 54 具屍體死亡後一小時內抽取其皮膚拭抹樣本,並從處理人員的手套中抽取 54 個樣本進行 RT-PCR 測試。RT-PCR測試結果顯示,屍體感染SARS-CoV-2的風險為50%,而處理人員在處理屍體時感染SARS-CoV-2的風險則為7%,風險極低。在经过长时间感染后死亡的病例中,SARS-CoV-2 的存活率很高。根据 RT-PCR 结果和数据分析,这项研究的结论是,SARS-CoV-2 从尸体传播给处理人员的风险很小,但尸体中的 SARS-CoV-2 存活率很高。这一事实对从事殡葬活动的人、验尸人员和处理尸体的医院工作人员很有帮助:Panda B、Singh N、Singh G、Patro ARK、Mohanty AP、Patnaik PK等:尸体中SARS-CoV-2病毒RNA的RT-PCR结果及病毒传播给处理人员的风险。Indian J Crit Care Med 2024;28(6):614-616.
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引用次数: 0
Shifting Paradigms in Vascular Access: A Deep Dive into the Supraclavicular Approach's Uncharted Waters. 血管通路范式的转变:深入了解锁骨上入路的未知领域。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24715
Yassine El Bouazizi, Abdelilah Ghannam, Amine Souadka

How to cite this article: El Bouazizi Y, Ghannam A, Souadka A. Shifting Paradigms in Vascular Access: A Deep Dive into the Supraclavicular Approach's Uncharted Waters. Indian J Crit Care Med 2024;28(6):622-623.

如何引用本文:El Bouazizi Y, Ghannam A, Souadka A. Shifting Paradigms in Vascular Access:深入了解锁骨上入路的未知领域。Indian J Crit Care Med 2024;28(6):622-623.
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引用次数: 0
Author Response: Beyond the Nasal Prongs: A Joust of Oxygen Delivery Methods in Post-op Hypoxemia. 作者回复:鼻锥之外:术后低氧血症的供氧方法大比拼。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24740
Susri Mishra, Nikhil Kothari, Ankur Sharma, Shilpa Goyal, Darshana K Rathod, Tanvi Meshram, Pradeep K Bhatia

How to cite this article: Mishra S, Kothari N, Sharma A, Goyal S, Rathod DK, Meshram T, et al. Author Response: Beyond the Nasal Prongs: A Joust of Oxygen Delivery Methods in Post-op Hypoxemia. Indian J Crit Care Med 2024;28(6):626-627.

本文引用方式Mishra S, Kothari N, Sharma A, Goyal S, Rathod DK, Meshram T, et al. Author Response:鼻锥之外:术后低氧血症的供氧方法大比拼。Indian J Crit Care Med 2024;28(6):626-627.
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引用次数: 0
Prognostic Value of Acute Gastrointestinal Injury Combined with Disease Severity Scores in Critically Ill Patients. 重症患者急性胃肠道损伤与疾病严重程度评分相结合的预后价值
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24733
Pham D Hai, Nguyen H Tot, Le T Thao, Quy Khoa, Dang H Thien

Background: Critically ill patients are at high risk of multiple organ failure syndrome (MODS) and gastrointestinal (GI) injury and dysfunction, which are associated with increased mortality rates. The acute gastrointestinal injury (AGI) scale has shown promise in assessing GI dysfunction. However, the combined utility of AGI with established disease severity scores remains unclear. This study aimed to investigate the performance of AGI in conjunction with modified nutritional risk in critically ill (mNUTRIC), sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation II (APACHE II) scores for predicting mortality in critically ill patients.

Materials and methods: A retrospective cross-sectional study was conducted in the intensive care unit (ICU) from May 2021 to December 2021. Demographic and clinical data were collected, including AGI grade, mNUTRIC score, SOFA score, APACHE II score, and mortality.

Results: Among 93 critically ill patients, AGI was observed in 47.3% of cases, and the in-hospital mortality rate was 30.1%. The area under the curve (AUC) for AGI in predicting in-hospital mortality was 0.67 [95% confidence interval (CI), 0.56, 0.79; p = 0.008], similar to the AUCs of SOFA, APACHE II, and mNUTRIC scores. The combination of AGI with mNUTRIC, APACHE II, or SOFA scores improved the predictive performance compared with AGI alone.

Conclusion: The AGI grade, in conjunction with disease severity scores, such as mNUTRIC, SOFA, and APACHE II scores, shows promise in predicting mortality in critically ill patients. Integrating AGI into evaluating critically ill patients can enhance prognostic accuracy.

How to cite this article: Hai PD, Tot NH, Thao LT, Khoa Q, Thien DH. Prognostic Value of Acute Gastrointestinal Injury Combined with Disease Severity Scores in Critically Ill Patients. Indian J Crit Care Med 2024;28(6):575-580.

背景:危重病人是多器官功能衰竭综合征(MODS)和胃肠道(GI)损伤和功能障碍的高危人群,这与死亡率的增加有关。急性胃肠道损伤(AGI)量表在评估胃肠道功能障碍方面显示出良好的前景。然而,AGI 与既有疾病严重程度评分的综合效用仍不明确。本研究旨在调查 AGI 与改良重症营养风险(mNUTRIC)、序贯器官衰竭评估(SOFA)和急性生理学和慢性健康评估 II(APACHE II)评分相结合预测重症患者死亡率的性能:一项回顾性横断面研究于 2021 年 5 月至 2021 年 12 月在重症监护室(ICU)进行。研究收集了人口统计学和临床数据,包括 AGI 分级、mNUTRIC 评分、SOFA 评分、APACHE II 评分和死亡率:在93名重症患者中,47.3%的病例观察到AGI,院内死亡率为30.1%。AGI 预测院内死亡率的曲线下面积(AUC)为 0.67 [95% 置信区间 (CI),0.56, 0.79; p = 0.008],与 SOFA、APACHE II 和 mNUTRIC 评分的曲线下面积相似。与单独使用AGI相比,将AGI与mNUTRIC、APACHE II或SOFA评分结合使用可提高预测性能:AGI分级与疾病严重程度评分(如mNUTRIC、SOFA和APACHE II评分)相结合,有望预测重症患者的死亡率。将 AGI 纳入危重病人的评估可提高预后的准确性:Hai PD, Tot NH, Thao LT, Khoa Q, Thien DH.重症患者急性胃肠道损伤结合疾病严重程度评分的预后价值。Indian J Crit Care Med 2024;28(6):575-580.
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引用次数: 0
Micronutrient Changes in Critically Ill: Elusive Answers for Evaluation and Management. 危重病人的微量营养素变化:评估和管理的模糊答案。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24738
Ak Ajith Kumar, Justin A Gopaldas

How to cite this article: Ajith Kumar AK, Gopaldas JA. Micronutrient Changes in Critically Ill: Elusive Answers for Evaluation and Management. Indian J Crit Care Med 2024;28(6):526-528.

如何引用本文:Ajith Kumar AK, Gopaldas JA.重症患者的微量营养素变化:评估与管理的模糊答案。Indian J Crit Care Med 2024;28(6):526-528.
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引用次数: 0
Transient Cerebral Circulation Arrest in SAH. SAH 短暂性脑循环骤停。
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24719
Ripenmeet Salhotra

How to cite this article: Salhotra R. Transient Cerebral Circulation Arrest in SAH. Indian J Crit Care Med 2024;28(6):620-621.

如何引用本文:Salhotra R. SAH中的短暂脑循环停止。Indian J Crit Care Med 2024;28(6):620-621.
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引用次数: 0
Beyond the Nasal Prongs: A Joust of Oxygen Delivery Methods in Post-op Hypoxemia. 鼻锥之外:术后低氧血症的供氧方法大比拼
IF 1.5 Q3 CRITICAL CARE MEDICINE Pub Date : 2024-06-01 DOI: 10.5005/jp-journals-10071-24720
Sathwik Gangireddy, Atul Jindal

How to cite this article: Gangireddy S, Jindal A. Beyond the Nasal Prongs: A Joust of Oxygen Delivery Methods in Post-op Hypoxemia. Indian J Crit Care Med 2024;28(6):625.

如何引用本文:Gangireddy S, Jindal A. Beyond the Nasal Prongs:术后低氧血症的供氧方法大比拼》。Indian J Crit Care Med 2024;28(6):625.
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引用次数: 0
期刊
Indian Journal of Critical Care Medicine
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