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Journal articles on the topic 'ICU Outcomes'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Madi, Meghana Deepak, and Ajith Kumar A.K. "ICU performance metrics and ICU outcomes." Journal of Nepalese Society of Critical Care Medicine 2, no. 3 (2024): 4–8. http://dx.doi.org/10.3126/jnsccm.v2i3.71537.

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Quality indicators (QIs) are integral to the operation of modern Intensive Care Units (ICUs). Over the years, impetus on quality patient care has greatly increased. The quality standards used in the industrial, educational sectors were tweaked to fit the needs of the health care sector. Effective quality indicators ensure treatment is safe, effective, efficient, timely, and patient-centred. Meanwhile, they should also help in identifying the deficiencies in the present health care system and rectify them. The QIs have garnered interest in the recent years as various national and international

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Flaatten, Hans, and Michael Beil. "Predicting ICU Outcomes." CHEST 164, no. 3 (2023): 570–71. http://dx.doi.org/10.1016/j.chest.2023.04.044.

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Suri, Jyotsna, and Zeba Khanam. "Prognosticating Fetomaternal ICU Outcomes." Indian Journal of Critical Care Medicine 25, S3 (2022): S206—S222. http://dx.doi.org/10.5005/jp-journals-10071-24022.

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Baggs, Judith Gedney. "Improving Medical ICU Outcomes." Critical Care Medicine 45, no. 8 (2017): 1424–25. http://dx.doi.org/10.1097/ccm.0000000000002486.

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Shorr, Andrew. "Outcomes in the ICU." Seminars in Respiratory and Critical Care Medicine 31, no. 01 (2010): 001–2. http://dx.doi.org/10.1055/s-0029-1246280.

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Mitka, M. "ICU Nurses and Outcomes." JAMA: The Journal of the American Medical Association 286, no. 20 (2001): 2534—a—2534. http://dx.doi.org/10.1001/jama.286.20.2534-a.

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Mitka, Mike. "ICU Nurses and Outcomes." JAMA 286, no. 20 (2001): 2534. http://dx.doi.org/10.1001/jama.286.20.2534-jqu10010-2-1.

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Haddad, S., A. S. Aldawood, A. Alferayan, N. A. Russell, H. M. Tamim, and Y. M. Arabi. "Relationship between Intracranial Pressure Monitoring and Outcomes in Severe Traumatic Brain Injury Patients." Anaesthesia and Intensive Care 39, no. 6 (2011): 1043–50. http://dx.doi.org/10.1177/0310057x1103900610.

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Intracranial pressure (ICP) monitoring is recommended in patients with a severe traumatic brain injury (TBI) and an abnormal computed tomography (CT) scan. However, there is contradicting evidence about whether ICP monitoring improves outcome. The purpose of this study was to examine the relationship between ICP monitoring and outcomes in patients with severe TBI. From February 2001 to December 2008, a total of 477 consecutive adult (>18 years) patients with severe TBI were included retrospectively in the study. Patients who underwent ICP monitoring (n=52) were compared with those who did n

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Yoon, Chang Ho, Hye Won Choi, and Jeong-Am Ryu. "Association of Obesity With Clinical Outcomes in Neurocritically Ill Patients." Journal of Neurointensive Care 5, no. 2 (2022): 48–53. http://dx.doi.org/10.32587/jnic.2022.00493.

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Background: To evaluate whether the obesity paradox exists in neurocritically ill patients.Methods: This was a retrospective, observational study of patient admitted to the neurosurgical intensive care unit (ICU) from January 2013 to December 2019. The subjects were classified into two groups: the non-obese group (body mass index [BMI] < 25 kg/m2) and the overweighted or obese group (BMI ≥ 25 kg/m2). The primary endpoint was in-hospital mortality. Results: A total of 527 patients were included in this study. The mean BMI was 23.7 ± 3.6 kg/m2. Of all neurosurgical patients, 157 patients were

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Suwardianto, Heru, Christantie Effendy, and Sri Setiyarini. "Palliative care outcomes in adult intensive care units: candidate quality outcome indicator items a scoping review protocol." Salud, Ciencia y Tecnología 5 (June 2, 2025): 1698. https://doi.org/10.56294/saludcyt20251698.

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Introduction: Palliative care (PC) outcomes in the ICU serve as indicators of the quality of care. However, the variability in outcomes presents a challenge in maintaining a clear focus on the goals of palliative care in the intensive care unit (ICU). This study aimed to map the outcomes of palliative care as potential quality indicators for PC in ICU settings.Method: This study followed the PRISMA-ScR approach, conducting a systematic search across multiple databases, including PubMed, ProQuest, EBSCOhost, Scopus, ScienceDirect, and BASE. The methodological framework was structured according

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Soliman, Ibrahim, Waleed Tharwat Aletreby, Fahad Faqihi, et al. "Improved Outcomes following the Establishment of a Neurocritical Care Unit in Saudi Arabia." Critical Care Research and Practice 2018 (July 18, 2018): 1–6. http://dx.doi.org/10.1155/2018/2764907.

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Background. Dedicated neurocritical care units have dramatically improved the management and outcome following brain injury worldwide. Aim. This is the first study in the Middle East to evaluate the clinical impact of a neurocritical care unit (NCCU) launched within the diverse clinical setting of a polyvalent intensive care unit (ICU). Design and Methods. A retrospective before and after cohort study comparing the outcomes of neurologically injured patients. Group one met criteria for NCCU admission but were admitted to the general ICU as the NCCU was not yet operational (group 1). Group two

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Sharma, Bharti, Winston Jiang, Munirah M. Hasan, et al. "Natremia Significantly Influences the Clinical Outcomes in Patients with Severe Traumatic Brain Injury." Diagnostics 15, no. 2 (2025): 125. https://doi.org/10.3390/diagnostics15020125.

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Objective: Fluctuations in sodium levels (SLs) may increase mortality, severity, and prolonged length of stay (LOS) in critically ill patients. We aim to study the effect of SL on various clinical outcomes in patients with severe traumatic brain injury (TBI). Methods: This is a single-center, retrospective study of patients with severe TBI from 1 January 2020 to 31 December 2023, inclusive. Patients were identified using Abbreviated Injury Severity (AIS) scores and International Classification of Diseases (ICD) injury descriptions. Result: Variations in hospital (H) admission SLs were statisti

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Khosla, Atulya Aman, Nitya Batra, Rohit Singh, et al. "Machine Learning to Predict Risk of Intracranial Hemorrhage in ICU Patients Receiving Direct Oral Anticoagulants." Blood 142, Supplement 1 (2023): 5543. http://dx.doi.org/10.1182/blood-2023-188069.

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INTRODUCTION The direct oral anticoagulants (DOACs) given to patients in the intensive care unit (ICU) are associated with various clinical outcomes, such as major bleeding episodes or intracranial hemorrhages (ICH). These pose major challenges for managing patients in ICUs. There is a need for early detection and intervention among patients taking DOACs to prevent adverse clinical outcomes. We hypothesized that machine-learning algorithms could be applied to develop a more accurate and user-friendly diagnostic tool that integrates various clinical and laboratory data and considers complex int

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Mast, Brenda, Guy J. Petruzzelli, and Tricia J. Johnson. "Surgical Volume Affects Outcomes in Laryngectomy Procedures." Otolaryngology–Head and Neck Surgery 139, no. 2_suppl (2008): P84–84. http://dx.doi.org/10.1016/j.otohns.2008.05.271.

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Objective To determine whether statistical differences occur in total cost, length of stay, ICU days, and surgical complications, depending on the volume of laryngectomy procedures performed. Methods Secondary laryngectomy data from 108 hospitals participating in the University Health System Consortium was examined. All laryngectomy surgical cases occurring from July 1, 2001, through June 30, 2005, with an ICD-9 code of 30.3 or 30.4 were analyzed (N=4,551). The cases were divided into 3 categories based on the number of surgical laryngectomy cases performed by hospital. Those volume categories

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Ñamendys-Silva, Silvio A., Mireya Barragán-Dessavre, Andoreni R. Bautista-Ocampo, et al. "Outcome of Critically Ill Patients with Testicular Cancer." BioMed Research International 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/3702605.

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Purpose.To evaluate the clinical characteristics and outcomes of critically ill patients with testicular cancer (TC) admitted to an oncological intensive care unit (ICU).Methods.This was a prospective observational study. There were no interventions.Results.During the study period, 1,402 patients with TC were admitted to the Department of Oncology, and 60 patients (4.3%) were admitted to the ICU. The most common histologic type was nonseminomatous germ cell tumors (55/91.7%). The ICU, hospital, and 6-month mortality rates were 38.3%, 45%, and 63.3%, respectively. The Cox multivariate analysis

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Motta, Glenda. "APACHE II PREDICTS ICU OUTCOMES." Journal of Wound, Ostomy and Continence Nursing 14, no. 2 (1987): 26A. http://dx.doi.org/10.1097/00152192-198703000-00009.

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Rosenfeld, Brian, Todd Dorman, Peter Pronovost, et al. "REMOTE MANAGEMENT IMPROVES ICU OUTCOMES." Critical Care Medicine 27, Supplement (1999): 153A. http://dx.doi.org/10.1097/00003246-199901001-00443.

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BIENVENU, O. JOSEPH. "Diaries May Boost ICU Outcomes." Clinical Psychiatry News 40, no. 9 (2012): 12. http://dx.doi.org/10.1016/s0270-6644(12)70240-0.

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ZOLER, MITCHEL L. "Early ICU Mobility Improves Outcomes." Hospitalist News 4, no. 4 (2011): 2. http://dx.doi.org/10.1016/s1875-9122(11)70073-6.

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Sadaka, Farid, Ashok Palagiri, Steven Trottier, et al. "Telemedicine Intervention Improves ICU Outcomes." Critical Care Research and Practice 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/456389.

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Merrell, Ronald C., and Charles R. Doarn. "Telemedicine Outcomes in the ICU." Telemedicine and e-Health 16, no. 1 (2010): 3–4. http://dx.doi.org/10.1089/tmj.2010.9985.

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Lilly, Craig M., Christine Motzkus, Teresa Rincon, Shawn E. Cody, Karen Landry, and Richard S. Irwin. "ICU Telemedicine Program Financial Outcomes." Chest 151, no. 2 (2017): 286–97. http://dx.doi.org/10.1016/j.chest.2016.11.029.

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23

Ramani, Chintan, Eric M. Davis, John S. Kim, J. Javier Provencio, Kyle B. Enfield, and Alex Kadl. "Post-ICU COVID-19 Outcomes." Chest 159, no. 1 (2021): 215–18. http://dx.doi.org/10.1016/j.chest.2020.08.2056.

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Reynolds, Hannah, Bhamini Patel, Sara Ormerod, Felicity Evison, and William Tunnicliffe. "MIND-OUT: Medications in Intensive Care, Delirium and OUTcomes." BJPsych Open 11, S1 (2025): S60—S61. https://doi.org/10.1192/bjo.2025.10209.

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Aims: To investigate how anticholinergic burden of medications changes during hospital stay for Intensive Care Unit (ICU) patients and to review whether anticholinergic burden predicts delirium and mortality.Delirium is a common cause of morbidity and mortality within ICU. Anticholinergic Burden (ACB) and Anticholinergic Effect on Cognition (AEC) tools are validated to assess anticholinergic effects from medication. Scores of ≥3 are associated with increased delirium and mortality. This study investigates anticholinergic burden from ICU admission through to hospital discharge.Methods: Retrospe

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Kim, Song-Hee, Carri W. Chan, Marcelo Olivares, and Gabriel J. Escobar. "Association Among ICU Congestion, ICU Admission Decision, and Patient Outcomes*." Critical Care Medicine 44, no. 10 (2016): 1814–21. http://dx.doi.org/10.1097/ccm.0000000000001850.

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26

Paixao, Luis, Haoqi Sun, Jacob Hogan, et al. "ICU delirium burden predicts functional neurologic outcomes." PLOS ONE 16, no. 12 (2021): e0259840. http://dx.doi.org/10.1371/journal.pone.0259840.

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Background We investigated the effect of delirium burden in mechanically ventilated patients, beginning in the ICU and continuing throughout hospitalization, on functional neurologic outcomes up to 2.5 years following critical illness. Methods Prospective cohort study of enrolling 178 consecutive mechanically ventilated adult medical and surgical ICU patients between October 2013 and May 2016. Altogether, patients were assessed daily for delirium 2941days using the Confusion Assessment Method for the ICU (CAM-ICU). Hospitalization delirium burden (DB) was quantified as number of hospital days

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Quinn, Timothy D., Rodney A. Gabriel, Richard P. Dutton, and Richard D. Urman. "Analysis of Unplanned Postoperative Admissions to the Intensive Care Unit." Journal of Intensive Care Medicine 32, no. 7 (2015): 436–43. http://dx.doi.org/10.1177/0885066615622124.

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Purpose: To investigate factors associated with unplanned postoperative admissions to the intensive care unit (ICU). Methods: Data from the National Anesthesia Clinical Outcomes Registry (NACOR) were analyzed. We performed univariate and multivariate logistic regression to identify patient- and surgery-specific characteristics associated with unplanned postoperative ICU admission. We also recorded the prevalence of Current Procedural Terminology (CPT) and International Classification of Diseases, ninth revision ( ICD-9) billing codes and outcomes for unplanned postoperative ICU admissions. Res

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Hobart, Dona C., Gary G. Nicholas, James F. Reed, and Susan A. Nastasee. "Carotid Endarterectomy Outcomes Research: Reduced Resource Utilization Using a Clinical Protocol." Cardiovascular Surgery 8, no. 6 (2000): 446–51. http://dx.doi.org/10.1177/096721090000800608.

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Background and purpose: The purpose of this study was to examine the necessity of intensive care unit (ICU) utilization following carotid endarterectomy (CEA) and to identify patients who can be managed postoperatively on a vascular unit using a clinical protocol. Methods: Medical records of 50 patients admitted to the ICU following elective CEA were reviewed retrospectively for patient characteristics, morbidity, mortality, length of stay (LOS), and ICU intervention. Prospectively, the next 200 patients were routed to either a vascular unit or ICU, based on a clinical protocol. Endpoints were

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Pintado, María-Consuelo, Patricia Villa, Natalia González-García, et al. "Characteristics and Outcomes of Elderly Patients Refused to ICU." Scientific World Journal 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/590837.

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Background. There are few data regarding the process of deciding which elderly patients are refused to ICU admission, their characteristics, and outcome.Methods. Prospective longitudinal observational cohort study. We included all consecutive patients older than 75 years, who were evaluated for admission to but were refused to treatment in ICU, during 18 months, with 12-month followup. We collected demographic data, ICU admission/refusal reasons, previous functional and cognitive status, comorbidity, severity of illness, and hospital and 12-month mortality.Results. 338 elderly patients were ev

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Aziz, Muhammad Alamsyah, Windi Nurdiawan, Safiya Fathina Avivi, et al. "The Influence of COVID-19 Severity on Maternal and Perinatal Outcomes: Evidence from a Cohort Study in Indonesia." Indonesian Journal of Obstetrics & Gynecology Science 8, no. 2 (2025): 267. https://doi.org/10.24198/obgynia.v8i2.883.

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Objective: This study aimed to assess the association between COVID-19 severity and maternal and neonatal outcomes at Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.Methods: A retrospective cohort study was conducted among pregnant women with confirmed COVID-19 who delivered between March 1, 2020, and March 31, 2022. Patients were categorized by disease severity (asymptomatic, mild, moderate, severe, or critical). Demographic, clinical, maternal, and neonatal data were collected. Statistical analyses included Fisher’s exact and Kruskal-Wallis tests for bivariate analysis and Poisson re

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Khan Sial, Gull Zareen, and Saadiya Javed Khan. "Pediatric Cancer Outcomes in an Intensive Care Unit in Pakistan." Journal of Global Oncology, no. 5 (December 2019): 1–5. http://dx.doi.org/10.1200/jgo.18.00215.

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PURPOSE Although cancer is uncommon, it is a significant cause of pediatric morbidity and mortality in the developing world. The need for intensive care in pediatric oncology has increased with more intense chemotherapeutic interventions. It is important to identify patients who will benefit from management in the intensive care unit (ICU), given the resource limitation in developing countries. In this review, we examine our institutional experience with pediatric patients with cancer needing ICU care. METHODS A retrospective chart review from December 2015 to June 2017 was performed with inst

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Lazar, Michael H., Eric Espinoza Moscoso, and Jeffrey H. Jennings. "Outcomes in Medical Intensive Care Patients Housed in Geographically Distant Units." Journal of Intensive Care Medicine 35, no. 12 (2019): 1471–75. http://dx.doi.org/10.1177/0885066619835488.

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Objective: The purpose of this study is to determine whether in patients admitted to a medical intensive care unit (ICU) service there are outcome differences between those in a medical ICU bed (“home”) and a geographically distant subspecialty ICU bed (“overflow”). Methods: We performed a retrospective cohort study of 4091 patients admitted to a medical ICU of a large tertiary-care urban teaching hospital. Depending on bed availability, some patients were housed in surgical or cardiac subspecialty ICUs while still being cared for by the primary medical ICU service. We assessed the association

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Welch, Sarah A., E. Wesley Ely, and Jin H. Han. "DELIRIUM SEVERITY AND COGNITIVE OUTCOMES." Innovation in Aging 3, Supplement_1 (2019): S921. http://dx.doi.org/10.1093/geroni/igz038.3356.

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Abstract Delirium is heterogeneous and can vary by severity. The impact of its severity is unclear. This prospective cohort study enrolled emergency department (ED) patients who were &gt; 65 years old and admitted to the hospital. Delirium severity was determined by the Confusion Assessment Method for the Intensive Care Unit Severity (CAM-ICU-S) Scale measured at enrollment. This scale ranges from 0 (no symptoms) to 7 (most severe). Premorbid and 6-month cognition were determined using the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) which ranges from 1 to 5 (severe

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Cornish, Marion, Michael B. Butler, and Robert S. Green. "Predictors of Poor Outcomes in Critically Ill Adults with Hematologic Malignancy." Canadian Respiratory Journal 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/9431385.

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Background. Patients with hematologic malignancy (HM) often require intensive care unit (ICU) admission due to organ failure through disease progression or treatment-related complications.Objective. To determine mortality and prognostic variables in adult patients with HM who were admitted to ICU.Methods. Structured chart review of all adult patients (age ≥ 18 years) with HM admitted to ICU of a Canadian tertiary care hospital between 2004 and 2014. Outcome measures included mortality (ICU, 30-day, 60-day, and 12-month). Logistic regression was performed to determine predictors of mortality.Re

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Chan, Melanie, and Marlies Ostermann. "Outcomes of Chronic Hemodialysis Patients in the Intensive Care Unit." Critical Care Research and Practice 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/715807.

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Patients with end-stage renal disease (ESRD) experience higher rates of hospitalisation, cardiovascular events, and all-cause mortality and are more likely to require admission to the intensive care unit (ICU) than patients with normal renal function. Sepsis and cardiovascular diseases are the most common reasons for ICU admission. ICU mortality rates in patients requiring chronic hemodialysis are significantly higher than for patients without ESRD; however, dialysis patients have a better ICU outcome than those with acute kidney injury (AKI) requiring renal replacement therapy suggesting that

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Tfaily, Mohamad Ali, Joe-David Azzo, Amal Gharamti, Marwan Ghanem, Rayyan Wazzi-Mkahal, and Zeina A. Kanafani. "Risk factors and outcomes of cytomegalovirus infection in the intensive care unit." Journal of Infection in Developing Countries 18, no. 04 (2024): 565–70. http://dx.doi.org/10.3855/jidc.17853.

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Introduction: Cytomegalovirus (CMV) infection has long been recognized as an important viral syndrome in the immunocompromised host. The disease is less well described in critically-ill patients. We evaluated the risk factors for the development of CMV infection in patients admitted to the intensive care unit (ICU). We also compared the outcomes of CMV infection in ICU patients to those of patients with hematological malignancies. Methodology: This is a retrospective study composed of three arms: patients admitted to the ICU with infection (ICU + / CMV + arm), patients admitted to the ICU who

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Song, Xuan, Xin-Yan Liu, Huai-Rong Wang, Xiu-Yan Guo, Kianoush B. Kashani, and Peng-Lin Ma. "Association between anemia and ICU outcomes." Chinese Medical Journal 134, no. 14 (2021): 1744–46. http://dx.doi.org/10.1097/cm9.0000000000001669.

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Power, G. Sarah, and David A. Harrison. "Why try to predict ICU outcomes?" Current Opinion in Critical Care 20, no. 5 (2014): 544–49. http://dx.doi.org/10.1097/mcc.0000000000000136.

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Kollef, Marin H. "Improving Outcomes in the ICU Setting." Chest 115, no. 6 (1999): 1490–92. http://dx.doi.org/10.1378/chest.115.6.1490.

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Scheinhorn, David J., David C. Chao, Meg Stearn-Hassenpflug, and Wayne A. Wallace. "Outcomes in Post-ICU Mechanical Ventilation." Chest 119, no. 1 (2001): 236–42. http://dx.doi.org/10.1378/chest.119.1.236.

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Kollef, Marin H. "Outcomes Research in the ICU Setting." Chest 112, no. 4 (1997): 870–72. http://dx.doi.org/10.1378/chest.112.4.870.

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do Amaral Beraldo, Marcelo, and Karina Timenetsky. "Chest physiotherapy and outcomes in ICU." Intensive Care Medicine 33, no. 12 (2007): 2232. http://dx.doi.org/10.1007/s00134-007-0893-7.

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Palazzo, Mark G. A., and Maie Templeton. "Chest physiotherapy and outcomes in ICU." Intensive Care Medicine 33, no. 12 (2007): 2233. http://dx.doi.org/10.1007/s00134-007-0894-6.

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Bhakta, Pradipta, Pushpal Desarkar, Brian O’Brien, Habib Md Reazaul Karim, and Mohanchandra Mandal. "Toward Better Outcomes Following ICU Discharge." Critical Care Medicine 51, no. 5 (2023): e127-e128. http://dx.doi.org/10.1097/ccm.0000000000005795.

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Wang, Luping, Qin Wu, and Yisong Cheng. "ICU Resource Strain and Patient Outcomes." Critical Care Medicine 52, no. 4 (2024): e208-e208. http://dx.doi.org/10.1097/ccm.0000000000006160.

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Schreiner, Misty N., Perry M. Gee, Ramona O. Hopkins, et al. "Patient- and Family-Centered Outcomes After Intensive Care Unit Admission." American Journal of Critical Care 34, no. 1 (2025): 12–20. https://doi.org/10.4037/ajcc2025684.

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Background Family satisfaction with intensive care is a measure of patient experience and patient-centered care. Among the factors that might influence family satisfaction are the timing of patient admittance to the intensive care unit (ICU), the ICU environment, and individual health care providers. Objective To evaluate family satisfaction with the ICU and to explore associations between satisfaction and specific characteristics of the ICU stay. Methods Participants were adult family members of ICU patients. One family member per patient was enrolled. Regression was used to test the associat

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Chen, Chieh-Lung, Sing-Ting Wang, Wen-Chien Cheng, Biing-Ru Wu, Wei-Chih Liao, and Wu-Huei Hsu. "Outcomes and Prognostic Factors in Critical Patients with Hematologic Malignancies." Journal of Clinical Medicine 12, no. 3 (2023): 958. http://dx.doi.org/10.3390/jcm12030958.

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Patients with hematologic malignancies (HMs) have a significantly elevated risk of mortality compared to other cancer patients treated in the intensive care unit (ICU). The prognostic impact of numerous poor outcome indicators has changed, and research has yielded conflicting results. This study aims to determine the ICU and hospital outcomes and risk factors that predict the prognosis of critically ill patients with HMs. In this retrospective study, conducted at a referral hospital in Taiwan, 213 adult patients with HMs who were admitted to the medical ICU were evaluated. We collected clinica

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Ashutosh, Kumar, Kumar Anand Vinit, and Kumar Dharmendra. "To Evaluate the Various Indications and Outcomes of Tracheotomy in the ICU: An Observational Study." International Journal of Pharmaceutical and Clinical Research 16, no. 5 (2024): 2405–9. https://doi.org/10.5281/zenodo.13336562.

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<strong>Background: </strong>Tracheotomy is a vital surgical procedure in the Intensive Care Unit (ICU) for patients requiring prolonged mechanical ventilation or airway protection. The decision to perform tracheotomy, along with the choice of technique and timing, significantly influences patient outcomes, including mortality, length of ICU stay, and complication rates. <strong>Aim: </strong>This study aims to evaluate the indications, procedural outcomes, and overall impact of tracheotomy on patient survival and ICU stay at Jawaharlal Nehru Medical College and Hospital (J. L.

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Swor, Dionne E., Matthew B. Maas, Sandeep S. Walia, et al. "Clinical characteristics and outcomes of methamphetamine-associated intracerebral hemorrhage." Neurology 93, no. 1 (2019): e1-e7. http://dx.doi.org/10.1212/wnl.0000000000007666.

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ObjectiveTo compare the clinical characteristics and outcomes of primary intracerebral hemorrhage (ICH) with and without methamphetamine exposure.MethodsWe performed a retrospective analysis of patients diagnosed with spontaneous, nontraumatic ICH over a 3-year period between January 2013 and December 2016. Demographics, clinical measures, and outcomes were compared between ICH patients with positive methamphetamine toxicology tests vs those with negative methamphetamine toxicology tests.ResultsMethamphetamine-positive ICH patients were younger than methamphetamine-negative ICH patients (52 vs

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Ferrante, Lauren. "Addressing Sensory Impairment in the ICU: Critically Important for Improving Outcomes." Innovation in Aging 4, Supplement_1 (2020): 798. http://dx.doi.org/10.1093/geroni/igaa057.2893.

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Abstract Millions of older adults are admitted to an intensive care unit (ICU) every year. Many of these patients have preexisting impairment in hearing or vision, but sensory impairment is rarely addressed in the ICU. This talk will present recent work evaluating the association of sensory impairment with functional outcomes among older ICU patients, and discuss barriers to and potential strategies for addressing sensory impairment in the ICU.

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