Indian Journal of Critical Care Medicine最新文献

{"title":"Practice Pattern of Critical Care UltraSonography in India (POCUS India): A Multicenter Cross-sectional Survey.","authors":"Divya Pal, Deepak Govil, Anant V Pachisia, Kapil D Soni, Sachin Gupta, Amol T Kothekar, Anuj M Clerk, Shrikanth Srinivasan, Vivek Kumar, Sushma K Gurav, Rachit Patel, Pradeep M D'Costa, Abhishek M Prajapati, Jayant Shelgaonkar, Sunil Karanth, Jojo K John, Kedar Toraskar, Sweta J Patel, Raymond D Savio, K N Jagadeesh, Rahul Harne, Rahul A Pandit, Rajesh C Mishra, Rajesh K Pande, Srinivas Samavedam, Yogendra P Singh, Sheila N Myatra, Pradip K Bhattacharya, Bharat G Jagiasi, Chacko Jose, Tushar Chopawar","doi":"10.5005/jp-journals-10071-25210","DOIUrl":"10.5005/jp-journals-10071-25210","url":null,"abstract":"<p><strong>Background and aim: </strong>Performing a point-of-care ultrasound (POCUS) scan in critical care, along with the incorporation of the findings into a clinical pathway, has now become the standard of care. The Indian Society of Critical Care Medicine (ISCCM) has established an ultrasound network and released the desirable competencies for intensive care unit (ICU) clinicians regarding the same. This survey was performed to study the practice patterns and barriers to utilizing POCUS among various specialists across Indian ICUs.</p><p><strong>Methods: </strong>An online survey-based, cross-sectional, multicenter, observational study was conducted over a period of 3 months with a questionnaire based on the utility, skills, training, and comfort in performing POCUS in Indian ICUs.</p><p><strong>Results: </strong>A total of 864 responses were received and analyzed. A total of 67.4% among them were specialists in critical care medicine, and 67.2% had received some form of training in POCUS. Most clinicians reported using POCUS for lung assessments, volume status evaluation, and focused cardiac assessments. Key barriers were inadequate training, limited machines, lack of supervision, time constraints, and medicolegal issues, though 32.4% reported no major obstacles. The majority of participants agreed that POCUS enables more efficient and safer care for critically ill patients. 624/864 respondents strongly agreed that POCUS training is essential for intensivists.</p><p><strong>Conclusion: </strong>Point-of-care ultrasound is being increasingly adopted across various specialties in critical care settings. This survey highlights the practice pattern of POCUS across India and possible limitations in expanding the role of POCUS for the management of critically ill.</p><p><strong>Ctri reg: </strong>CTRI/2022/09/045417.</p><p><strong>How to cite this article: </strong>Pal D, Govil D, Pachisia AV, Soni KD, Gupta S, Kothekar AT, <i>et al.</i> Practice Pattern of Critical Care UltraSonography in India (POCUS India): A Multicenter Cross-sectional Survey. Indian J Crit Care Med 2026;30(5):398-407.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"398-407"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Diagnostic Concordance to Implementation-grade Lung Ultrasound in Critical Care.","authors":"Mulavagili Vijayasimha, Mulavagili Srikanth, Jayanthi Bhima, Keerthi Rao, Amit K Singh, Tara Rani","doi":"10.5005/jp-journals-10071-25199","DOIUrl":"10.5005/jp-journals-10071-25199","url":null,"abstract":"<p><p><b>How to cite this article:</b> Vijayasimha M, Srikanth M, Bhima J, Rao K, Singh AK, Rani T. From Diagnostic Concordance to Implementation-grade Lung Ultrasound in Critical Care. Indian J Crit Care Med 2026;30(5):453-454.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"453-454"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337724/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of Nurse-led Interventions on Pain and Complications among Patients Admitted to Intensive Care Unit: A Quasi-experimental study.","authors":"Meghashree Gajanan Naik, Hezil Reema Barboza, Jyothi Rao","doi":"10.5005/jp-journals-10071-25204","DOIUrl":"10.5005/jp-journals-10071-25204","url":null,"abstract":"<p><strong>Background and aims: </strong>Critically ill patients in intensive care units (ICUs) require specialized care, and inadequate pain management remains a prevalent issue that contributes to long-term complications and adversely affects recovery. The aim of the study was to evaluate the impact of nurse-led interventions on pain related to critical care and the prevention of ICU-related complications among patients.</p><p><strong>Patients and methods: </strong>A quasi-experimental pretest posttest control group design was adopted for this study, which was conducted at a tertiary care hospital in Mangaluru, Karnataka State, India. Patients admitted to the ICU (<i>n</i> = 60) were selected using purposive sampling and were divided equally into intervention and control groups. The intervention group received structured nurse-led care focused on ICU-related pain and strategies to minimize complications through supportive communication and a range of motion (ROM) exercises every morning for 1 week.</p><p><strong>Results: </strong>In the intervention group, 53.3% of patients were aged 60-69 years, whereas in the control group, 40.0% of them were between 50 and 59 years. The intervention and control groups reported a reduction in critical care pain scores and ICU-related complications (<i>p</i> < 0.05). Notably, the participants in the intervention group showed a greater reduction in the parameters of study outcomes compared to the control group, indicating a clinically significant positive impact of the nurse-led interventions (<i>p</i> < 0.05). There was a significant association between pain and age, type of family, and basal metabolic index (BMI), as well as ICU-related complications and age.</p><p><strong>Conclusion: </strong>The findings underscore the effectiveness of nurse-led interventions in mitigating critical care pain and reducing ICU-related complications, demonstrating their potential as an evidence-based strategy to improve patient outcomes.</p><p><strong>How to cite this article: </strong>Naik MG, Barboza HR, Rao J. Effectiveness of Nurse-led Interventions on Pain and Complications among Patients Admitted to Intensive Care Unit: A Quasi-experimental study. Indian J Crit Care Med 2026;30(5):408-413.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"408-413"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337788/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Least Absolute Shrinkage and Selection Operator (LASSO)-derived AAGC Model for In-hospital Mortality Prediction in Sepsis Incorporating Age, APACHE II Score, Glasgow Coma Scale, and Creatinine: A Prospective Study.","authors":"Hemant Gulia, Mohit Suhag, Nikhil Bagal, Prity R Deshwal, Sandeep Kumar, Rahul K Joshi","doi":"10.5005/jp-journals-10071-25196","DOIUrl":"10.5005/jp-journals-10071-25196","url":null,"abstract":"<p><strong>Background and aims: </strong>Sepsis remains a major global cause of critical illness and death. Existing scores like Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and quick Sequential Organ Failure Assessment (qSOFA) vary widely, highlighting the need for earlier, reliable risk identification. We aimed to identify key predictors of mortality among inpatients with sepsis and develop a simplified data-driven predictive model using the least absolute shrinkage and selection operator (LASSO) method.</p><p><strong>Patients and methods: </strong>A prospective cohort study was carried out involving 150 adult patients diagnosed with sepsis and admitted to a tertiary care hospital in India between November 2024 and April 2025. Demographic, clinical, and biochemical data were recorded at admission. Least absolute shrinkage and selection operator regression was used for variable selection, followed by multivariable logistic regression to develop the final model. Model performance was assessed through receiver operating characteristic (ROC) analysis, calibration plots, and decision curve analysis.</p><p><strong>Results: </strong>Of the 150 patients, 86 (57.3%) died during hospitalization. Least absolute shrinkage and selection operator regression identified four key predictors: Age, APACHE II score, Glasgow Coma Scale (GCS) and creatinine, forming the AAGC model. The model demonstrated excellent discrimination (AUC: 0.95, 95% CI: 0.92-0.99) and strong calibration (mean absolute error: 0.011; 90th percentile: 0.026). Decision curve analysis showed greater net benefit across threshold probabilities of 0.1-0.8 compared with \"treat-all\" or \"treat-none\" approaches. High respiratory rate (RR), culture-negative sepsis, respiratory failure, and septic shock were also independently associated with mortality.</p><p><strong>Conclusion: </strong>This LASSO-based AAGC model offers a robust, interpretable tool for early mortality prediction in sepsis, thereby supporting timely interventions and improving patient outcomes. Further external validation of this model may confirm its generalizability and its clinical utility.</p><p><strong>How to cite this article: </strong>Gulia H, Suhag M, Bagal N, Deshwal PR, Kumar S, Joshi RK. A Least Absolute Shrinkage and Selection Operator (LASSO)-derived AAGC Model for In-hospital Mortality Prediction in Sepsis Incorporating Age, APACHE II Score, Glasgow Coma Scale, and Creatinine: A Prospective Study. Indian J Crit Care Med 2026;30(5):379-388.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"379-388"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337726/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hantavirus: A Comprehensive Contemporary Review of Virology, Global Epidemiology, Clinical Variants, Diagnosis, Treatment, and Intensive Care Management.","authors":"As Anoop Kumar, Joshua John","doi":"10.5005/jp-journals-10071-25215","DOIUrl":"10.5005/jp-journals-10071-25215","url":null,"abstract":"<p><strong>Background: </strong>Hantaviruses are negative-sense, single-stranded RNA viruses of the family Hantaviridae that cause two potentially lethal zoonotic syndromes: Hemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS). With approximately 2,00,000 reported cases of HFRS annually worldwide and case-fatality rates reaching 36-40% in severe HCPS, hantaviruses constitute a significant global public health burden. Rodent excreta are the principal source of human infection through inhalation of infectious aerosols.</p><p><strong>Materials and methods: </strong>A comprehensive literature search was conducted using PubMed, Embase, WHO databases, and CDC surveillance reports (1993-2025) to synthesize current evidence on hantavirus taxonomy, epidemiology, pathogenesis, clinical features, diagnosis, treatment, and intensive care unit (ICU) management.</p><p><strong>Findings: </strong>More than 50 distinct hantavirus species are now recognized, classified broadly into Old World (HFRS-causing) and New World (HCPS-causing) viruses. Sin Nombre virus (SNV) dominates in North America, while Andes virus (ANDV)-the only hantavirus documented to spread person-to-person-causes the majority of HCPS cases in South America. Hantaan virus (HTNV) remains the most common HFRS pathogen in Asia. Diagnosis relies on reverse transcriptase polymerase chain reaction (RT-PCR) during the 1st week of illness and immunoglobulin M (IgM)/immunoglobulin G (IgG) serology thereafter. Ribavirin reduces mortality in HFRS when given early; no antiviral is definitively proven for HCPS. Extracorporeal membrane oxygenation (ECMO) has transformed survival in severe HCPS. Favipiravir and monoclonal antibody therapies are under active investigation.</p><p><strong>Conclusion: </strong>Hantavirus infections demand a high index of clinical suspicion, especially in occupationally exposed or rural populations. Timely diagnosis, evidence-based ICU protocols, and stringent rodent control are the cornerstones of management.</p><p><strong>How to cite this article: </strong>Kumar ASA, John J. Hantavirus: A Comprehensive Contemporary Review of Virology, Global Epidemiology, Clinical Variants, Diagnosis, Treatment, and Intensive Care Management. Indian J Crit Care Med 2026;30(5):430-442.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"430-442"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Author Response: Letter in Response to the Article: Network Meta-analysis of the Efficacy of Different Music Therapy Interventions for Delirium in Adult Intensive Care Unit Patients.","authors":"Yunfan Hao","doi":"10.5005/jp-journals-10071-25208","DOIUrl":"https://doi.org/10.5005/jp-journals-10071-25208","url":null,"abstract":"<p><p><b>How to cite this article:</b> Hao Y. Author Response: Letter in Response to the Article: Network Meta-analysis of the Efficacy of Different Music Therapy Interventions for Delirium in Adult Intensive Care Unit Patients. Indian J Crit Care Med 2026;30(5):448-450.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"448-450"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337613/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Conventional Severity Scores: Machine Learning and the Future of Intensive Care Unit Prognostication.","authors":"Srinivas Samavedam","doi":"10.5005/jp-journals-10071-25197","DOIUrl":"10.5005/jp-journals-10071-25197","url":null,"abstract":"<p><p><b>How to cite this article:</b> Samavedam S. Beyond Conventional Severity Scores: Machine Learning and the Future of Intensive Care Unit Prognostication. Indian J Crit Care Med 2026;30(5):361-362.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"361-362"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337614/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Author Response: Hepatic Elastography in Critical Illness: Moving from Physiological Signal to Clinical Utility.","authors":"Tanmoy Ghatak","doi":"10.5005/jp-journals-10071-25195","DOIUrl":"10.5005/jp-journals-10071-25195","url":null,"abstract":"<p><p><b>How to cite this article:</b> Ghatak T. Author Response: Hepatic Elastography in Critical Illness: Moving from Physiological Signal to Clinical Utility. Indian J Crit Care Med 2026;30(5):452.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"452"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337723/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-flow Nasal Cannula Oxygen vs Non-invasive Ventilation with Passive Humidification: Are We Comparing Like with Like?","authors":"Sanjay Singhal, Mohan Gurjar","doi":"10.5005/jp-journals-10071-25211","DOIUrl":"10.5005/jp-journals-10071-25211","url":null,"abstract":"<p><p><b>How to cite this article:</b> Singhal S, Gurjar M. High-flow Nasal Cannula Oxygen vs Non-invasive Ventilation with Passive Humidification: Are We Comparing Like with Like? Indian J Crit Care Med 2026;30(5):359-360.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 5","pages":"359-360"},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13337674/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148406390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Author Response: From Descriptive Hemodynamics to Decision-grade Vasoplegia Phenotyping: The Next Translational Step for Temporal Diastolic Shock Index.","authors":"Soumya Sarkar, Afzal Azim","doi":"10.5005/jp-journals-10071-25191","DOIUrl":"10.5005/jp-journals-10071-25191","url":null,"abstract":"<p><p><b>How to cite this article:</b> Sarkar S, Azim A. Author Response: From Descriptive Hemodynamics to Decision-grade Vasoplegia Phenotyping: The Next Translational Step for Temporal Diastolic Shock Index. Indian J Crit Care Med 2026;30(4):356.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 4","pages":"356"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13178118/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147965207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}