Indian Journal of Critical Care Medicine最新文献

{"title":"Beyond a Single Snapshot: Inflammatory Markers in Acute-on-chronic Liver Failure.","authors":"Omkar S Rudra, Rakhi Maiwall","doi":"10.5005/jp-journals-10071-25271","DOIUrl":"10.5005/jp-journals-10071-25271","url":null,"abstract":"<p><p><b>How to cite this article:</b> Rudra OS, Maiwall R. Beyond a Single Snapshot: Inflammatory Markers in Acute-on-chronic Liver Failure. Indian J Crit Care Med 2026;30(8):621-622.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 8","pages":"621-622"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13585077/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148991801","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":"Utility of Circulating Extracellular Nicotinamide Phosphoribosyltransferase and Its Association with Acute Respiratory Distress Syndrome Onset and Mortality: A Systematic Review and Meta-analysis.","authors":"Thejesh Srinivas, Gagana Hanumaiah, Danavath Nagendra, Souvik Chaudhuri, Akhila Vasudeva, Shwethapriya Rao, Vinutha R Bhat, Prabha Prakash","doi":"10.5005/jp-journals-10071-25256","DOIUrl":"10.5005/jp-journals-10071-25256","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Aims and background: &lt;/strong&gt;Acute respiratory distress syndrome (ARDS) is a complex clinical condition lacking reliable biomarkers that reflect underlying biological injury and predict clinical outcomes. Extracellular nicotinamide phosphoribosyltransferase (eNAMPT), an upstream inflammatory mediator implicated in endothelial injury, has emerged as a potential biomarker in ARDS. However, its association with ARDS onset and mortality has not been systematically synthesized. This review aimed to evaluate the association between circulating eNAMPT levels, ARDS onset, and mortality through a systematic review and meta-analysis.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Materials and methods: &lt;/strong&gt;This systematic review and meta-analysis, compliant with Preferred Reporting Items For Systematic Reviews And Meta-Analyses (PRISMA)-2020 guidelines, was registered in PROSPERO (CRD420251229714). PubMed, Scopus, Embase, and the Cochrane Library were searched from database inception to 22 December 2025. Studies measuring circulating eNAMPT levels in adult ARDS populations were included. Random-effects models were applied to pool standardized mean differences (SMDs) to assess associations with ARDS onset (ARDS vs controls) and mortality (non-survivors vs survivors). Heterogeneity was assessed through subgroup and sensitivity analyses.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Six studies comprising 1,061 participants, including 665 ARDS patients, were included. Circulating eNAMPT levels were significantly elevated in ARDS cases compared with healthy controls [SMD = 1.07, 95% confidence interval (CI) = 0.41-1.74; &lt;i&gt;p&lt;/i&gt;-value = 0.0016], although substantial heterogeneity was observed (&lt;i&gt;I² =&lt;/i&gt; 91.1%). Descriptive pooled estimates showed mean eNAMPT concentrations of 49.58 ng/mL in ARDS vs 7.30 ng/mL in controls. Elevated eNAMPT levels were also significantly associated with increased mortality among ARDS patients (SMD = 0.39, 95% CI = 0.19-0.59; &lt;i&gt;p&lt;/i&gt;-value = 0.0001) with minimal heterogeneity (&lt;i&gt;I² =&lt;/i&gt; 1.4%). Subgroup analyses demonstrated consistent mortality associations across Western and Asian cohorts.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Circulating eNAMPT is associated with ARDS and, more importantly, reflects disease severity, serving as a biologically informative biomarker of inflammatory and endothelial injury rather than serving as a standalone diagnostic marker.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Clinical significance: &lt;/strong&gt;These findings underscore the potential of eNAMPT for biomarker-guided risk stratification and for informing precision therapeutic strategies targeting upstream inflammatory pathways in ARDS.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;How to cite this article: &lt;/strong&gt;Srinivas T, Hanumaiah G, Nagendra D, Chaudhuri S, Vasudeva A, Rao S, &lt;i&gt;et al&lt;/i&gt;. Utility of Circulating Extracellular Nicotinamide Phosphoribosyltransferase and Its Association with Acute Respiratory Distress Syndrome Onset and Mortality: A Systematic Review and Meta-analysis. Indian J Crit Care Med 2026;30(8):686-697.&lt;/","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 8","pages":"686-697"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13585112/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148991916","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":"Added Value of Quadriceps Muscle Layer Thickness to modified Nutrition Risk in the Critically Ill (mNUTRIC) Score in Predicting Clinical Outcomes in Critically Ill Patients: A Prospective Observational Study.","authors":"Pramela R Rodrigues, R Manoj Kumar, Vijay Sundarsingh, Manjunath Kulkarni, Kripa Rasquinha, Monish Thomas, Banani Poddar","doi":"10.5005/jp-journals-10071-25246","DOIUrl":"10.5005/jp-journals-10071-25246","url":null,"abstract":"<p><strong>Background and aims: </strong>This study evaluated whether adding quadriceps muscle layer thickness (QMLT) to the modified nutrition risk in the critically ill (mNUTRIC) score improves prediction of 28 days mortality in critically ill patients.</p><p><strong>Patients and methods: </strong>We conducted a prospective observational study in a single-center intensive care unit (ICU), enrolling 201 adult patients. Nutritional risk was assessed using the mNUTRIC score, and QMLT was measured using bedside ultrasound at ICU admission. The primary objective was to compare the predictive performance of mNUTRIC, QMLT, and their combination (mNUTRIC + QMLT) for 28 days mortality using receiver operating characteristic (ROC) curves for discrimination, Brier scores for accuracy, and decision curve analysis (DCA) for clinical utility.</p><p><strong>Results: </strong>Our cohort had a median age of 60 years (IQR, 50-69.5), with a 28 days mortality rate of 35.8%. Median mNUTRIC and QMLT were 4 (3-5) and 1.71 cm (1.31-2.13), respectively. Non-survivors had significantly lower QMLT (1.54 vs 1.84 cm, <i>p</i> = 0.010) and higher mNUTRIC scores (5 vs 3, <i>p</i> < 0.001). Mortality was highest (67.56%) in patients with both high mNUTRIC (≥5) and below-median QMLT. The combined model showed superior discrimination [area under the curve (AUC) = 0.783] compared to mNUTRIC (0.708) and QMLT (0.614). Calibration was acceptable for the combined and mNUTRIC models. The Brier score was lowest for the combined model (0.1769), indicating highest accuracy. Decision curve analysis showed greater clinical utility for the combined model, especially at mortality risk thresholds of 20-55% and 75-90%.</p><p><strong>Conclusions: </strong>Combining QMLT with mNUTRIC improved prediction of 28 days mortality, offering a more comprehensive tool for risk stratification and potential guidance for targeted ICU interventions.</p><p><strong>Clinical trial number: </strong>CTRI/2023/09/057364.</p><p><strong>How to cite this article: </strong>Rodrigues PR, Kumar MR, Sundarsingh V, Kulkarni M, Rasquinha K, Thomas M, <i>et al</i>. Added Value of Quadriceps Muscle Layer Thickness to modified Nutrition Risk in the Critically Ill (mNUTRIC) Score in Predicting Clinical Outcomes in Critically Ill Patients: A Prospective Observational Study. Indian J Crit Care Med 2026;30(8):664-672.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 8","pages":"664-672"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13585086/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148992058","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":"Indian Society of Critical Care Medicine Position Statement on the Management of Paraquat Poisoning.","authors":"Parshotam Lal Gautam, Lakshmi R Takkellapati, Ashish Bhalla, John V Peter, Rubina K Mahajan, M Ravi Krishna, Moturu Dharanindra, Sharmili Sinha, Yogendra Pal Singh, Pankaj Anand, Venkat R Kola, Ranajit Chattopadhyay, Bruno Mégarbane, Fazle R Chowdhury, S Manu Ayyan, Badria Ayyan Alhatali, Rajesh Mahajan, Alaukik Goyal, Suneel K Garg, Kundan Hazarika, Pragyan K Routray, Prashant Kumar, Sachin Gupta, Bharat G Jagiasi, Nagarajan Ramakrishnan, Srinivas Samavedam, Ranvir Tyagi","doi":"10.5005/jp-journals-10071-25250","DOIUrl":"10.5005/jp-journals-10071-25250","url":null,"abstract":"<p><p>Paraquat poisoning is among the most lethal toxicological emergencies encountered globally. It is associated with case fatality rates up to 50-90%. There is no specific antidote for paraquat poisoning. India faces a growing burden of paraquat poisoning, compounded by easy accessibility, widespread under-reporting and limited timely access to extracorporeal therapies. Against this backdrop, the Indian Society of Critical Care Medicine (ISCCM) Toxicology working section convened an expert panel of 15 specialists to develop evidence-informed recommendations through a modified Delphi consensus process. Panelists rated 32 clinical statements across three iterative rounds on a five-point Likert scale. The results were presented online to the core group and Delphi panelists after the first Delphi round for discussion and to refine questions based on the suggestions received from the panelists. Consensus (≥70% agreement) was reached on 31 statements; the remaining one was designated as non-convergent. Stability of responses was checked for each statement in sequential rounds. This position statement addresses commonly faced questions by physicians such as gastrointestinal decontamination, diagnostic evaluation including the urine dithionite test and plasma paraquat assay, imaging strategies for pulmonary prognostication, the role of charcoal hemoperfusion and renal replacement therapy, immunosuppressive pulse therapy with methylprednisolone and cyclophosphamide, oxygen restriction and permissive hypoxemia strategy, antioxidant interventions, organ support, lung transplantation bridged with extracorporeal membrane oxygenation (ECMO), and prognostic determinants of mortality.</p><p><strong>How to cite this article: </strong>Gautam PL, Takkellapati LR, Bhalla A, Peter JV, Mahajan RK, Krishna MR, <i>et al</i>. Indian Society of Critical Care Medicine Position Statement on the Management of Paraquat Poisoning. Indian J Crit Care Med 2026;30(8):632-649.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 8","pages":"632-649"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13585111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148991939","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":"Pediatric Traumatic Brain Injury and Healthcare-associated Infections: A Prospective Study on Determinants of Mortality Using Least Absolute Shrinkage and Selection Operator Regression.","authors":"M Nizam Ahmed, Ashish Bindra, Priyanka Sahu, Arpan Kumar Thakur, Mohamed Salih Mohamed Samsudeen, Keshav Goyal, Niraj Kumar, Pankaj Kumar Singh, Parul Singh, Deepak Gupta, Purva Mathur","doi":"10.5005/jp-journals-10071-25245","DOIUrl":"10.5005/jp-journals-10071-25245","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background and aims: &lt;/strong&gt;Healthcare-associated infections (HAIs) represent an important secondary insult in pediatric traumatic brain injury (TBI); data from low- and middle-income country (LMIC) settings remain limited, and clinically applicable models using routinely available variables to predict mortality are lacking. We aimed to characterize the burden and microbiological profile of HAIs and to identify determinants of mortality in pediatric TBI using routine clinical variables.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Patients and methods: &lt;/strong&gt;A prospective observational study was conducted at a level 1 trauma center in New Delhi, India, from July 2023 to December 2024. The study enrolled 160 pediatric patients (6 months to 15 years) with moderate to severe pediatric TBI [Glasgow Coma Scale (GCS): 3-12] requiring mechanical ventilation for at least 24 hours. Baseline variables included age, sex, injury mechanism, Injury Severity Score (ISS), GCS, and Marshall CT classification. HAIs were identified through active surveillance, with pathogen profiles and antibiotic susceptibility analyzed. Hospital courses, mortality, and duration of hospital stay were noted. Functional outcomes were assessed at 3 months using the Glasgow Outcome Scale Extended (GOSE).A least absolute shrinkage and selection operator (LASSO) regression model was used for finding the determinants of mortality using age, sex, ISS, surgical intervention, GCS, ventilator days, hospital days, and HAI status. Model performance was evaluated using accuracy, area under the curve (AUC), sensitivity, specificity, and Kappa statistic.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Healthcare-associated infections occurred in 35% of patients, primarily respiratory (61.1%), with &lt;i&gt;Acinetobacter baumannii&lt;/i&gt; (40.3%) as the leading pathogen. Healthcare-associated infection-positive patients had longer ventilator, neurotrauma intensive care unit, and hospital stays (&lt;i&gt;p&lt;/i&gt; &lt; 0.001). Among other determinants, ventilator days [odds ratio (OR): 1.93] and HAI (OR: 1.55) emerged as important predictors within the multivariable LASSO analysis. The LASSO model achieved 97.5% accuracy, 0.995 AUC, 99.2% sensitivity, and 92.1% specificity, with ventilator days, HAI status, and admission GCS as key predictors of mortality.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Healthcare-associated infections were associated with prolonged critical care burden in mechanically ventilated pediatric patients with moderate to severe TBI. A LASSO model using routinely available clinical variables offers a robust, scalable tool for determinants of mortality in LMIC neurocritical care settings. However, these findings should not be generalized to non-ventilated or mild TBI populations and warrant external validation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;How to cite this article: &lt;/strong&gt;Ahmed MN, Bindra A, Sahu P, Thakur AK, Mohamed Samsudeen MS, Goyal K, &lt;i&gt;et al&lt;/i&gt;. Pediatric Traumatic Brain Injury and Healthcare-associated Infections: A Prospective Study on Det","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 8","pages":"656-663"},"PeriodicalIF":2.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13585114/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148991899","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":"Urine Dithionite-guided Hemoperfusion in Acute Paraquat Poisoning: A Retrospective Observational Study from South India.","authors":"Ramesh Yelanati, Dharanindra Moturu, Supriya Rayana, Mohammad Noor Shaik, Karthikeya Jampala, Venkata Dinesh Kumar Gontla, Ramesh B Potineni","doi":"10.5005/jp-journals-10071-25244","DOIUrl":"10.5005/jp-journals-10071-25244","url":null,"abstract":"<p><strong>Aims and background: </strong>Paraquat (PQ) poisoning has a mortality rate of 50-90% with no specific antidote. Hemoperfusion (HP) is used for PQ removal, but evidence for its efficacy is limited, and optimal strategies for guiding HP remain poorly defined. The study aims to describe a urine sodium dithionite test (UDT)-guided HP protocol and evaluate clinical outcomes in patients with acute PQ poisoning.</p><p><strong>Patients and methods: </strong>A retrospective observational study of 27 consecutive patients with acute PQ poisoning admitted to a tertiary intensive care unit (ICU) in South India was conducted. Serial UDT was used to guide HP initiation, continuation, and cessation. Clinical data, treatment details, and outcomes were analyzed. Survivors and non-survivors were compared.</p><p><strong>Results: </strong>Mean age was 30.5 ± 11.2 years (74.1% male). Fourteen patients (51.9%) survived. Ingestion-to-door (I-to-D) time ≤4 h was present in 71.4% of survivors vs 20% of non-survivors. Urine sodium dithionite test negative conversion within 10 h occurred in 77.8% of survivors vs 16.7% of non-survivors. Survivors received more HP sessions (mean: 3.3 vs 2.6). Acute kidney injury (AKI) occurred in 80% of non-survivors vs 14.3% of survivors.</p><p><strong>Conclusion: </strong>Early presentation combined with a UDT-guided HP protocol was associated with favorable outcomes. Serial UDT provides a practical, low-cost tool for guiding extracorporeal treatment (ECTR) in resource-limited settings.</p><p><strong>Clinical significance: </strong>The UDT-guided HP protocol offers intensivists a bedside decision-making tool that replaces costly plasma PQ assays, enabling evidence-based ECTR decisions in Indian ICU settings where quantitative assays are unavailable.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 7","pages":"572-577"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13458497/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148714220","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":"Development and Prospective Validation of a Machine Learning Tool for Predicting Multidrug-resistant Organism Infections in an Indian Critical Care Unit.","authors":"Nadheem M Shajeef, Teresa M Sobi, Chithra Jayaprakash, Suja Abraham","doi":"10.5005/jp-journals-10071-25242","DOIUrl":"10.5005/jp-journals-10071-25242","url":null,"abstract":"<p><strong>Background and aims: </strong>Multidrug-resistant organisms (MDROs) are a growing threat in critical care settings, causing prolonged hospitalization, increased costs, and mortality. Irrational antibiotic use, invasive procedures, and limited diagnostic times contribute to the prevalence of MDROs. Machine learning (ML) offers a promising approach for early risk identification. This study aimed to develop and pilot validate an ML-based tool to predict MDRO infection risk in Critical Care Unit (CCU) patients using baseline clinical data.</p><p><strong>Patients and methods: </strong>Retrospective data from 323 patients admitted to the CCU of a tertiary care hospital in Kerala, India, were used to develop and evaluate five ML models using Python (version 3.11). Predictor variables included demographics, comorbidities, and initial medical device usage. A pilot prospective validation was subsequently conducted on 49 new CCU admissions to assess real-world predictive performance within 48 hours of admission.</p><p><strong>Results: </strong>Among 323 patients, 76 developed MDRO infections (23.5%). Major risk factors identified included prolonged hospitalization and invasive device use. The random forest model demonstrated a training accuracy of 96.0% and a test-set accuracy of 75.3%. In the pilot prospective validation, the tool yielded a sensitivity of 81.8%, a specificity of 100%, and an overall accuracy of 95.9%.</p><p><strong>Conclusions: </strong>This study demonstrates that the ML-based tool can effectively stratify MDRO risk in a CCU setting. While the performance discrepancy between training and testing indicates overfitting, the high specificity and sensitivity observed in the prospective pilot phase support its potential as a bedside aid for early antimicrobial stewardship (AMS).</p><p><strong>Clinical significance: </strong>The ML tool enables early risk stratification, allowing for timely infection control and efficient resource utilization in constrained clinical settings.</p>","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 7","pages":"601-608"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13457321/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148714090","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":"Methodological Reflections Regarding the LASSO-derived AAGC Model for In-hospital Mortality Prediction in Sepsis.","authors":"Kapil D Soni","doi":"10.5005/jp-journals-10071-25225","DOIUrl":"10.5005/jp-journals-10071-25225","url":null,"abstract":"","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 7","pages":"613"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13457761/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148714190","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 High-flow Nasal Cannula vs Non-invasive Ventilation: The Need for Dynamic Physiological Monitoring in Pediatric Acute Hypoxemic Respiratory Failure.","authors":"Om P Sanjeev, Babu Pathak, Kishore K Talukdar","doi":"10.5005/jp-journals-10071-25235","DOIUrl":"10.5005/jp-journals-10071-25235","url":null,"abstract":"","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 7","pages":"611-612"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13457477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148714047","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":"The Bedside \"Rule of Three\": A Formula for Vasoactive Drug Dose Calculation for Fixed-concentration 50 mL Syringe Preparations.","authors":"Hariharan Rajangam, Vr Hemanth Kumar","doi":"10.5005/jp-journals-10071-25234","DOIUrl":"10.5005/jp-journals-10071-25234","url":null,"abstract":"","PeriodicalId":47664,"journal":{"name":"Indian Journal of Critical Care Medicine","volume":"30 7","pages":"609-610"},"PeriodicalIF":2.0,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13457358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148714222","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}