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Journal articles on the topic 'SICU'

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1

McCarthy, M. C., A. J. Apponi, C. A. Gottlieb, and P. Thaddeus. "Laboratory Detection of Five New Linear Silicon Carbides: SiC3, SiC5, SiC6, SiC7, and SiC8." Astrophysical Journal 538, no. 2 (2000): 766–72. http://dx.doi.org/10.1086/309177.

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2

Hansen, Jeff, Bonnie Marty, Juliana Barr, and Eran Geller. "REDUCTION IN DRUG EXPENDITURES BY SICU TEAM AND SICU PHARMACOTHERAPISTS." Critical Care Medicine 23, Supplement (1995): A31. http://dx.doi.org/10.1097/00003246-199501001-00022.

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3

Nishi, Gregg K., Richard H. Suh, Matthew T. Wilson, Scott A. Cunneen, Daniel R. Margulies, and M. Michael Shabot. "Analysis of Causes and Prevention of Early Readmission to Surgical Intensive Care." American Surgeon 69, no. 10 (2003): 913–17. http://dx.doi.org/10.1177/000313480306901019.

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The purpose of this study was to analyze causes of early readmission to the surgical intensive care unit (SICU), to determine whether readmission can be predicted or prevented, and to compare outcomes of patients readmitted to the SICU with patients not requiring readmission. All patients admitted to the Cedars-Sinai SICU from January 1, 1996, to December 31, 2001, were included. Clinical data was prospectively collected in an on-line computer system. The charts of all early readmission patients were retrospectively reviewed. SICU and hospital outcomes were abstracted from a computerized data
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4

Wilson, Matthew T., Kenneth L. Crawford, and M. Michael Shabot. "Intensive Care Unit Outcomes of Surgical Centenarians: The “Oldest Old” of the New Millennium." American Surgeon 66, no. 9 (2000): 870–73. http://dx.doi.org/10.1177/000313480006600916.

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This study compared the severity of illness and outcomes of surgical intensive care unit (SICU) patients age 100 years or older with those of younger SICU patients. Severity of illness was measured with the Simplified Acute Physiology Score (SAPS) and the Quantified Therapeutic Intervention Scoring System (QTISS). Outcomes were evaluated with SICU length of stay (LOS), hospital LOS, SICU mortality, and hospital mortality. All patients admitted to an urban, tertiary-care SICU from August 1, 1986 to July 31, 1998 (12 years) were included. A total of 24,395 consecutive patients were evaluated of
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Koss, Wega G., Theodore M. Khalili, Julio F. Lemus, Marjorie M. Chelly, Daniel R. Margulies, and M. Michael Shabot. "Nosocomial Pneumonia is Not Prevented by Protective Contact Isolation in the Surgical Intensive Care Unit." American Surgeon 67, no. 12 (2001): 1140–44. http://dx.doi.org/10.1177/000313480106701205.

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Nosocomial pneumonia (NP) is the leading cause of death from hospital-acquired infection in intubated surgical intensive care unit (SICU) patients. To determine whether protective contact isolation would lower the incidence of NP in intubated patients we performed a prospective, randomized, and controlled study in two SICUs in a tertiary medical center. Over a period of 15 months two identical ten-bed SICUs alternated for 3-month periods between protective contact isolation (isolation group) and standard “universal precautions” (control group). In the isolation group all personnel and visitors
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6

Abbott, Kenneth L., Philip Hong, Matthew M. Ruppert, et al. "Surgical ICU Admission Criteria: A Scoping Review." Critical Care Explorations 7, no. 7 (2025): e1278. https://doi.org/10.1097/cce.0000000000001278.

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OBJECTIVES: The aims of this scoping review were to: 1) explore factors driving surgical ICU (SICU) admission decisions, 2) provide an environmental scan of SICU admission practices, and 3) identify underexamined domains relevant for SICU triage, admission, and discharge inquiries. DATA SOURCES: Embase, PubMed, and Medline were queried from inception to April 18, 2024, for English-language peer-reviewed studies related to adult SICU admission criteria and decision-making; neonatal ICU, PICU, veterinary ICU, and military ICU data and gray literature were excluded. Studies were not limited by de
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7

Koenig, William, Kathleen Adams, David Platt, A. David Drezner, and Rocco Orlando. "FUNGAL INFECTIONS IN THE SICU." Critical Care Medicine 14, no. 4 (1986): 330. http://dx.doi.org/10.1097/00003246-198604000-00046.

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8

Grindlinger, G. A., R. Cachecho, S. Wedel, R. Dennis, and F. Millham. "Inadvertant Extubation in the SICU." Critical Care Medicine 21, no. 1 (1993): A159. http://dx.doi.org/10.1097/00003246-199301000-00035.

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9

Fridkin, Scott K., Suzanne M. Pear, Theresa H. Williamson, John N. Galgiani, and William R. Jarvis. "The Role of Understaffing in Central Venous Catheter-Associated Bloodstream Infection." Infection Control & Hospital Epidemiology 17, no. 3 (1996): 150–58. http://dx.doi.org/10.1017/s0195941700006445.

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AbstractObjective:To determine risk factors for central venous catheter-associated bloodstream infections (CVC-BSI) during a protracted outbreak.Design:Case-control and cohort studies of surgical intensive care unit (SICU) patients.Setting:A university-affiliated Veterans Affairs medical center.Patients:Case-control study: all patients who developed a CVC-BSI during the outbreak period (January 1992 through September 1993) and randomly selected controls. Cohort study: all SICU patients during the study period (January 1991 through September 1993).Measurements:CVC-BSI or site infection rates, S
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10

Dexter, F., K. Pearson, D. L. Griffiths, and P. Jebson. "Surgical ICU Underutilization Does not Significantly Discourage Discharge." Health Services Management Research 9, no. 4 (1996): 238–42. http://dx.doi.org/10.1177/095148489600900403.

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An SICU must have sufficient capacity to handle peak weekly demand to prevent re-admission and/or poor quality of care. Excess capacity may, however, encourage unnecessary SICU utilization. The goal of this study was to assess the influence of availability of SICU beds on patient discharge and re-admission rates. The case series included 1,492 days, 36,816 patient days, 8,821 discharges, and 186 re-admissions within 3 days from a 24-bed multidisciplinary SICU at a tertiary care center. Census was defined to equal the total number of patients in the SICU each day. We found low census levels wer
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11

Castro, Emily, Michael Turcinovic, John Platz, and Isabel Law. "Early Mobilization: Changing the Mindset." Critical Care Nurse 35, no. 4 (2015): e1-e6. http://dx.doi.org/10.4037/ccn2015512.

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BACKGROUND Staff in the surgical intensive care unit (SICU) had several concerns about mobilizing patients receiving mechanical ventilation. OBJECTIVE To assess and improve the mindset of SICU staff toward early mobilization of patients receiving mechanical ventilation before, 6 months after, and 1 year after implementation of early mobilization. METHODS The Plan-Do-Study-Act model was used to guide the planning, implementation, evaluation, and interventions to change the mindset and practice of SICU staff in mobilizing patients receiving mechanical ventilation. Interventions to overcome barri
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12

Kim, Mi Kyoung, Eun-Joo Jung, Seulkee Park, and Im-kyung Kim. "Timing of Admission to the Surgical Intensive Care Unit is Associated with in-Hospital Mortality." Journal of Acute Care Surgery 12, no. 1 (2022): 11–17. http://dx.doi.org/10.17479/jacs.2022.12.1.11.

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Purpose: The relationship between the timing of admission (work-hours or after-hours) to the intensive care unit (ICU) and mortality among surgical ICU (SICU) patients is unclear. This study aimed to investigate whether admission to SICU during after-hours was associated with in-hospital mortality.Methods: This retrospective cohort study was conducted in a tertiary academic hospital. The data of 571 patients who were admitted to the SICU and whose complete medical records were available were analyzed. Work-hours were defined as 07:00 to 19:00 Monday to Friday, during which the ICU was staffed
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Becher, Robert D., Michael C. Chang, J. Jason Hoth, Jennifer L. Kendall, H. Randall Beard, and Preston R. Miller. "Does Acute Physiology and Chronic Health Evaluation II Provide a Valid Metric to Directly Compare Disease Severity in Trauma versus Surgical Intensive Care Unit Patients?" American Surgeon 78, no. 11 (2012): 1261–69. http://dx.doi.org/10.1177/000313481207801136.

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The Acute Physiology and Chronic Health Evaluation II (APACHE II) score has never been validated to risk-adjust between critically ill trauma (TICU) and general surgical (SICU) intensive care unit patients, yet it is commonly used for such a purpose. To study this, we evaluated risk of death in TICU and SICU patients with pneumonia. We hypothesized that mortality for a given APACHE II would be significantly different and that using APACHE II to directly compare TICU and SICU patients would not be appropriate. We conducted a retrospective review of patients admitted to the TICU or SICU at a ter
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14

BC, Borlaso, Baxter JK, Kennoy PR, Forso RA, Benotti PN, and Blackburn GL. "ELECTIVE VS. ACUTE INTERHOSPITAL SICU ADMISSIONS." Journal of Trauma: Injury, Infection, and Critical Care 30, no. 7 (1990): 916. http://dx.doi.org/10.1097/00005373-199007000-00034.

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15

Porter, John M., Rao R. Ivatury, Minoo Kavarana, and Ron Verrier. "The Surgical Intensive Care Unit as a Cost-Efficient Substitute for an Operating Room at a Level I Trauma Center." American Surgeon 65, no. 4 (1999): 328–30. http://dx.doi.org/10.1177/000313489906500408.

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Critically ill patients in the surgical intensive care unit (SICU) continue to require operative procedures. Traditionally, this has meant the transport of these critically ill patients out of the safe, monitored confines of the SICU to the operating room (OR). This can be hazardous to the patient, as well as expensive. Performing the procedures in the OR can avoid both the dangers of transport and the expense of the OR. Herein is a descriptive study of 80 procedures performed on 36 patients in the SICU. We believe that these data show that the SICU can be a cost-effective alternative to the O
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Major, Kevin, M. Michael Shabot, and Scott Cunneen. "Wireless Clinical Alerts and Patient Outcomes in the Surgical Intensive Care Unit." American Surgeon 68, no. 12 (2002): 1057–60. http://dx.doi.org/10.1177/000313480206801206.

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Errors in medicine have gained public interest since the Institute of Medicine published its 1999 report on this subject. Although errors of commission are frequently cited, errors of omission can be equally serious. A computerized surgical intensive care unit (SICU) information system when coupled to an event-driven alerting engine has the potential to reduce errors of omission for critical intensive care unit events. Automated alerts and patient outcomes were prospectively collected for all patients admitted to a tertiary-care SICU for a 2-year period. During the study period 3,973 patients
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17

Kongsayreepong, S., and K. Chittawatanarat. "Multicenter Thai university-based surgical ICU study (Thai-SICU study): adverse events and outcome in the SICU." Critical Care 19, Suppl 1 (2015): P518. http://dx.doi.org/10.1186/cc14598.

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18

Chaiwat, Onuma, Worawan Suwannasri, Jedsadayoot Sak-aroonchai, et al. "Incidence and outcomes of acute lung injury in the surgical intensive care unit of a tertiary care hospital in Bangkok, Thailand." Asian Biomedicine 10, no. 4 (2017): 379–85. http://dx.doi.org/10.5372/1905-7415.1004.501.

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Abstract Background Although the pathophysiology and treatment of acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are well established, the incidence and outcomes of ALI have not been extensively reported. Variations in healthcare systems, demographics, socioeconomics, and levels of intensive care units (ICU) may explain remarkable differences in outcomes reported. Objectives To evaluate the incidence and outcomes of ALI/ARDS at the surgical ICU (SICU) at Siriraj Hospital of Mahidol University, Bangkok. Methods We included patients aged ≥18 years admitted to the general
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Paré, Kristina, Joanna Grudziak, Kyle Lavin, et al. "Family Perceptions of Palliative Care and Communication in the Surgical Intensive Care Unit." Journal of Patient Experience 8 (January 1, 2021): 237437352110330. http://dx.doi.org/10.1177/23743735211033095.

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Few data exist on palliative care for trauma and acute care surgery patients. This pilot study evaluated family perceptions and experiences around palliative care in a surgical intensive care unit (SICU) via mixed methods interviews conducted from February 1, 2020, to March 5, 2020, with 5 families of patients in the SICU. Families emphasized the importance of clear, honest communication, and inclusiveness in decision-making. Many interviewees were unable to recall whether goals-of-care discussions had occurred, and most lacked understanding of the patients’ illnesses. This study highlights th
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Bittner, Marvin J., Eugene C. Rich, Paul D. Turner, and William H. Arnold. "Limited Impact of Sustained Simple Feedback Based on Soap and Paper Towel Consumption on the Frequency of Hand Washing in an Adult Intensive Care Unit." Infection Control & Hospital Epidemiology 23, no. 3 (2002): 120–26. http://dx.doi.org/10.1086/502020.

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Objective:To determine whether hand washing would increase with sustained feedback based on measurements of soap and paper towel consumption.Design:Prospective trial with a nonequivalent control group.Setting:Open multibed rooms in the Omaha Veterans Affairs Medical Center's Surgical Intensive Care Unit (SICU) and Medical Intensive Care Unit (MICU).Subjects:Unit staff.Intervention:Every weekday from May 26 through December 8,1998, we recorded daytime soap and paper towel consumption, nurse staffing, and occupied beds in the SICU (intervention unit) and the MICU (control unit) and used these da
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Nguyen, Jonathan, Mary Noory, Lisa Capano-Wehrle, John Gaughan, and Joshua P. Hazelton. "Expeditious Diagnosis and Laparotomy for Patients with Acute Abdominal Compartment Syndrome May Improve Survival." American Surgeon 84, no. 11 (2018): 1836–40. http://dx.doi.org/10.1177/000313481808401145.

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Causes of abdominal compartment syndrome (ACS) are varied and can result from both medical and surgical diseases. Early recognition of ACS and prompt surgical treatment has been shown to improve mortality. We hypothesize that earlier recognition of ACS and earlier involvement by surgical specialists may improve mortality. A retrospective review between July 2010 and July 2015 was performed of adult patients who underwent decompressive laparotomy for ACS. Patients were divided into surgical and medical intensive care units (SICU and MICU) arms. Twenty patients were included (MICU = 12; SICU = 8
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Tinti, Meredith S., John T. Malcynski, John J. Hong, and Jeffrey S. Hammond. "UTI AMONG TRAUMA PATIENTS IN THE SICU." Critical Care Medicine 32, Supplement (2004): A143. http://dx.doi.org/10.1097/00003246-200412001-00510.

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23

BUCHMAN, TIMOTHY G. "Who Should Care for the SICU Patient?" Archives of Surgery 126, no. 3 (1991): 398. http://dx.doi.org/10.1001/archsurg.1991.01410270148025.

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Lee, Jeanette J., Karen Waak, Martina Grosse-Sundrup, et al. "Global Muscle Strength But Not Grip Strength Predicts Mortality and Length of Stay in a General Population in a Surgical Intensive Care Unit." Physical Therapy 92, no. 12 (2012): 1546–55. http://dx.doi.org/10.2522/ptj.20110403.

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Background Paresis acquired in the intensive care unit (ICU) is common in patients who are critically ill and independently predicts mortality and morbidity. Manual muscle testing (MMT) and handgrip dynamometry assessments have been used to evaluate muscle weakness in patients in a medical ICU, but similar data for patients in a surgical ICU (SICU) are limited. Objective The purpose of this study was to evaluate the predictive value of strength measured by MMT and handgrip dynamometry at ICU admission for in-hospital mortality, SICU length of stay (LOS), hospital LOS, and duration of mechanica
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Arthur, Katherine R., Rachel R. Kelz, Angela M. Mills, et al. "Interhospital Transfer: An Independent Risk Factor for Mortality in the Surgical Intensive Care Unit." American Surgeon 79, no. 9 (2013): 909–13. http://dx.doi.org/10.1177/000313481307900929.

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Interhospital transfer (IHT) is associated with mortality in medical and mixed intensive care units (ICUs), but few studies have examined this relationship in a surgical ICU (SICU) setting. We hypothesized that IHT is associated with increased mortality in SICU patients relative to ICU patients admitted within the hospital. We reviewed SICU and transfer center databases from a tertiary academic center over a 2-year period. Inclusion criteria included age 18 years or older and SICU admission 24 hours or greater. Demographic data, admission service, and Acute Physiology and Chronic Health Evalua
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Louie, Jessica, Nick Lonardo, Mary Mone, et al. "Outcomes When Using Adjunct Dexmedetomidine with Propofol Sedation in Mechanically Ventilated Surgical Intensive Care Patients." Pharmacy 6, no. 3 (2018): 93. http://dx.doi.org/10.3390/pharmacy6030093.

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Objective: Compare the duration of mechanical ventilation between patients receiving sedation with continuous infusions of propofol alone or combination with the use of dexmedetomidine and propofol. Design: Retrospective, propensity matched (1:1) cohort study, employing eight variables chosen a priori for matching. Timing of exposure to dexmedetomidine initiation was incorporated into a matching algorithm. Setting: Level 1, university-based, 32-bed, adult, mixed trauma and surgical intensive care unit (SICU). Continuous sedation was delivered according to a protocol methodology with daily seda
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Yeh, Rong-Guan, Yin-Yi Han, Jiann-Shing Shieh, Yu-Jung Wang, Shih-Chun Tseng, and Yu-Chuan Fu. "NONRANDOMNESS INDEX APPLIED FOR HEART RATE VARIABILITY IN SURGICAL INTENSIVE CARE UNITS USING FREQUENCY AND RANK ORDER STATISTICS." Biomedical Engineering: Applications, Basis and Communications 19, no. 05 (2007): 303–11. http://dx.doi.org/10.4015/s1016237207000409.

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The complexity of physiologic signals may carry hidden dynamical structures that are related to their underlying mechanisms. Based on rank order statistics of symbolic sequences, we applied this method to heart rate variability (HRV) in surgical intensive care units (SICU) in order to determine a nonrandomness index to help doctors diagnose patients more rapidly in a SICU in the future. Twenty one patients with 47 cases undergoing different types of neurosurgery were studied as group A. From this group, electrocardiograph (ECG) signals were collected. They lasting around 60 min for 29 cases se
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Srinil, Thirada, Suchanun Lao-amornphunkul, Akarawat Narksut, et al. "Incidences, Characteristics, Management and Outcomes of Different Subtypes of Postoperative Delirium in Elderly Patients Admitted to the Surgical Intensive Care Unit: A Secondary Analysis of a Prospective Cohort Study." Siriraj Medical Journal 76, no. 7 (2024): 406–14. http://dx.doi.org/10.33192/smj.v76i7.267145.

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Objective: Postoperative delirium (POD) has three subtypes: hyperactive, hypoactive, and mixed, with each having distinct features and implications. This study aimed to determine the incidence, management, and clinical outcomes of each POD subtype in elderly patients admitted to the surgical intensive care unit (SICU) after surgery. Materials and Methods: This was a secondary analysis of a prospective cohort study of POD in the SICU. Patients aged ≥65 years admitted to the SICU and expected to stay in the SICU for >24 h were recruited. POD was screened using the Confusion Assessment Method
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Hildreth, Amy N., Toby Enniss, Robert S. Martin, et al. "Surgical Intensive Care Unit Mobility is Increased after Institution of a Computerized Mobility Order Set and Intensive Care Unit Mobility Protocol: A Prospective Cohort Analysis." American Surgeon 76, no. 8 (2010): 818–22. http://dx.doi.org/10.1177/000313481007600824.

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In some populations, intensive care unit (ICU) mobility has been shown to be safe and beneficial. We gathered data on 50 nonintubated surgical patients in a 10-bed surgical ICU (SICU) who met physiologic inclusion criteria beginning in May 2008 (A group). In January 2009, we began mandatory entry of computerized mobility orders as part of a standardized ICU order set. We also created a mobility protocol for nurses in this ICU. We then collected data on 50 patients in this postintervention cohort (B group). Both groups had similar baseline characteristics. A group patients had some form of mobi
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Godbe, Kerilyn, Niaman Nazir, Stepheny Berry, Steve Eaton, Dhaval Bhavsar, and Julia Slater. "664 Fanning down the Flames: Improving Burn and SICU Team Dynamics with Co-management Guidelines." Journal of Burn Care & Research 46, Supplement_1 (2025): S226. https://doi.org/10.1093/jbcr/iraf019.293.

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Abstract Introduction The main barriers to perioperative surgical teamwork are confusion in responsibilities, and prevailing misconceptions between teams. Our Burn and Surgical intensive care unit (SICU) teams noted these obstacles and sought to improve co-management of burn patients. Methods Burn and SICU providers were surveyed to identify preferred management roles. Subsequently, two providers from each team created guidelines delineating management responsibilities. A five-point Likert scale survey was distributed pre- and six months post- guideline distribution to assess impact of interve
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Nuevo, Marion R., and Florian R. Nuevo. "The Occurrence of Postoperative Residual Curarization among Post-Coronary Artery Bypass Graft Patients in a Surgical Intensive Care Unit of a Tertiary Hospital." Philippine Journal of Cardiology 49, no. 1 (2021): 50–56. http://dx.doi.org/10.69944/pjc.18ce86517f.

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BACKGROUND: Intermediate-acting muscle relaxants have gained favor in fast-track cardiac anesthesia since these are associated with early extubation. However, postoperative residual curarization (PORC) still occur in the post anesthesia care unit. This study aims to determine the occurrence of PORC among post-coronary artery bypass graft (CABG) patients in the surgical intensive care units (SICU) of the Philippine Heart Center. METHODS: A cross-sectional study was undertaken among 60 patients for elective CABG surgery. Within an hour from SICU arrival, Train of Four (TOF) ratio was obtained an
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Stenehjem, David D., Meredith Bannon, and Jonathan Boltax. "Outcomes in cancer patients (pts) admitted to a surgical (SICU) or medical ICU (MICU) compared to a newly opened cancer specific ICU (HICU)." Journal of Clinical Oncology 32, no. 30_suppl (2014): 279. http://dx.doi.org/10.1200/jco.2014.32.30_suppl.279.

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279 Background: The University of Utah opened a cancer specific ICU (HICU) in 2011 admitting medical and surgical cancer pts. Prior to this, medical cancer pts were admitted to the MICU while the SICU admitted both and medical and surgical pts. The primary objective of this study was to compare the quality metrics of mortality and length of stay (LOS). Methods: Pts with a cancer diagnosis and admitted to the MICU or SICU from 2009-2011 or the HICU from 2011-2013 were evaluated. Pts were stratified by ICU type and the HICU was also analyzed by excluding post-operative pts (HICU-MED). Survival f
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Besch, Guillaume, Dejan Ilic, Marc Ginet, et al. "Identification of Heparin-Induced Thrombocytopenia in Surgical Critically Ill Patients by Using the HIT Expert Probability Score: An Observational Pilot Study." Journal of Clinical Medicine 11, no. 6 (2022): 1515. http://dx.doi.org/10.3390/jcm11061515.

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Background: Heparin-induced thrombocytopenia (HIT) remains a challenging diagnosis especially in surgical intensive care unit (SICU) patients. The aim of the study was to evaluate for the first time the diagnostic accuracy of the HIT Expert Probability (HEP) score in the early identification of HIT in SICU patients. Methods: The HEP and 4Ts scores were calculated in all patients with suspected HIT during their stay in our SICU. The diagnosis of HIT was finally confirmed (HIT+ group) or excluded (HIT− group) by an independent committee blinded to the HEP and 4Ts score values. The primary outcom
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Brandt, Mary-Margaret, Anthony Falvo, and H. Mathilda Horst. "The Impact of Mild Renal Dysfunction on Postoperative Mortality in the Surgical Intensive Care Unit." American Surgeon 73, no. 8 (2007): 743–47. http://dx.doi.org/10.1177/000313480707300802.

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The negative impact of mild to moderate renal dysfunction on patient outcome is often underestimated. Any amount of renal dysfunction is deleterious in the surgical intensive care unit (SICU). We evaluated all surgery patients admitted to our SICU. We identified two groups of patients: no renal failure and acute renal failure. A total of 5152 patients were included in this study. There were 1259 patients in the acute renal failure group. The average number of ventilator days increased by 2.2 for every increase of creatinine by 1.0. Patients who required dialysis stayed an average of 11 days lo
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Parreco, Joshua, Antonio Hidalgo, Robert Kozol, Nicholas Namias, and Rishi Rattan. "Predicting Mortality in the Surgical Intensive Care Unit Using Artificial Intelligence and Natural Language Processing of Physician Documentation." American Surgeon 84, no. 7 (2018): 1190–94. http://dx.doi.org/10.1177/000313481808400736.

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The purpose of this study was to use natural language processing of physician documentation to predict mortality in patients admitted to the surgical intensive care unit (SICU). The Multiparameter Intelligent Monitoring in Intensive Care III database was used to obtain SICU stays with six different severity of illness scores. Natural language processing was performed on the physician notes. Classifiers for predicting mortality were created. One classifier used only the physician notes, one used only the severity of illness scores, and one used the physician notes with severity of injury scores
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Kohl, Benjamin A., Margaret Fortino-Mullen, Amy Praestgaard, C. William Hanson, Joseph DiMartino, and E. Andrew Ochroch. "The effect of ICU telemedicine on mortality and length of stay." Journal of Telemedicine and Telecare 18, no. 5 (2012): 282–86. http://dx.doi.org/10.1258/jtt.2012.120208.

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We conducted a retrospective, observational study of patient outcomes in two intensive care units in the same hospital. The surgical ICU (SICU) implemented telemedicine and electronic medical records, while the medical ICU (MICU) did not. Medical charts were reviewed for a one-year period before telemedicine and a one-year period afterwards. In the SICU, records were obtained for 246 patients before and 1499 patients after implementation; in the MICU, records were obtained for 220 patients and 285 patients in the same periods. The outcomes of interest were ICU length of stay and mortality, and
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De La Cruz, C., J. Cruz, A. Castillo, E. Corbacho, M. Damas, and J. Sarmiento. "Morbidity in the SICU after transmyocardial laser revascularization." Critical Care 2, Suppl 1 (1998): P050. http://dx.doi.org/10.1186/cc180.

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38

Orlando, Rocco, William Kantor, Steven Donahue, Karen Barkley, Melinda Molin, and Neil Yeston. "ON RESPIRATORY MECHANICS IN MECHANICALLY VENTILATED SICU PATIENTS." Critical Care Medicine 21, Supplement (1993): S211. http://dx.doi.org/10.1097/00003246-199304001-00160.

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Polat, B. D., O. L. Eryilmaz, R. Erck, O. Keleş, A. Erdemir, and K. Amine. "Structured SiCu thin films in LiB as anodes." Thin Solid Films 572 (December 2014): 134–41. http://dx.doi.org/10.1016/j.tsf.2014.09.008.

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Kuncewitch, Michael, and Jose M. Prince. "Mixing it up: Antibiotic cycling in the SICU." Journal of Surgical Research 183, no. 1 (2013): 94–95. http://dx.doi.org/10.1016/j.jss.2012.04.026.

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Cheng, Xuping, and Kailei Du. "Association between negative FB and mortality in SICU." Journal of Anesthesia 34, no. 1 (2019): 160. http://dx.doi.org/10.1007/s00540-019-02709-2.

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HOLCROFT, JAMES W. "Who Should Care for the SICU Patient?-Reply." Archives of Surgery 126, no. 3 (1991): 398. http://dx.doi.org/10.1001/archsurg.1991.01410270148026.

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Atia, Ahmed, Abdulsalam Ashur, Hosam Elmahmoudi, Ahmed Abired, and Nafisa Bkhait. "Evaluation of the Intensive Care Unit Resources and Utilization in Two Governmental Hospitals in Tripoli, Libya." AL-MUKHTAR JOURNAL OF SCIENCES 34, no. 3 (2019): 130–36. http://dx.doi.org/10.54172/mjsc.v34i3.241.

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The growing population in Tripoli is projected to have a sustained increase in the demand for health services, especially in-service areas with limited resources such as intensive care units (ICUs). Currently, ICUs in the city of Tripoli routinely operate at or near full capacity and have a limited ability to accommodate the next critically ill patient. This disparity in demand and supply makes a substantial strain on our health care system. In response to this rising problem, the current study aimed to investigate the ICU capacity in the two largest hospitals in Tripoli, Libya. This is a retr
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Levine, Alexander R., Steven M. Lemieux, Daniela D’Aquino, Analise Tenney, Margaret Pisani, and Syed Ali. "Risk Factors for Continuation of Atypical Antipsychotics at Hospital Discharge in Two Intensive Care Unit Cohorts." Clinical Medicine Insights: Psychiatry 10 (January 2019): 117955731986381. http://dx.doi.org/10.1177/1179557319863813.

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Introduction: Atypical antipsychotics are frequently initiated in the intensive care unit (ICU) to treat delirium. Many patients continue on these agents at hospital discharge despite a lack of data to support long-term use. Objectives: The primary aim of this study was to determine underlying risk factors for continuation of antipsychotics at hospital discharge in medical intensive care unit (MICU) and surgical intensive care unit (SICU) patients when evaluated as separate cohorts. Methods: A single-center, retrospective study in patients newly initiated on quetiapine, risperidone, or olanzap
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Störzinger, Dominic, Stephan Borghorst, Stefan Hofer, et al. "Plasma Concentrations of Posaconazole Administered via Nasogastric Tube in Patients in a Surgical Intensive Care Unit." Antimicrobial Agents and Chemotherapy 56, no. 8 (2012): 4468–70. http://dx.doi.org/10.1128/aac.06167-11.

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ABSTRACTAbdominal surgery may affect intestinal absorption and the resulting levels of posaconazole in the blood. We measured plasma posaconazole levels in surgical intensive care unit (SICU) patients and tried to develop a predictive population pharmacokinetics model. A total of 270 samples from 15 patients receiving posaconazole via nasogastric tube were measured by high-performance liquid chromatography (HPLC). SICU patients showed lower plasma drug concentrations, a higher apparent clearance, and a higher volume of distribution than those in hematology patients, possibly due to poor absorp
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Booth, Adam T., and Becky J. Christian. "Surgical Intensive Care Unit Nurses’ Coping With Moral Distress and Moral Residue." Dimensions of Critical Care Nursing 43, no. 6 (2024): 298–305. http://dx.doi.org/10.1097/dcc.0000000000000665.

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Background Moral distress is defined as knowing the right course of action to take but being hindered by institutional constraints. Objective The purpose of this study was to explore surgical intensive care unit (SICU) nurses’ experiences of moral distress, moral residue, coping, and perceived quality of patient care. Method A descriptive qualitative approach used in-depth, semistructured individual interviews of SICU nurses in a metropolitan, academic medical center until theoretical saturation occurred. Results Five themes were identified from 21 interviews. Root causes of moral distress wer
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Melhem, Moaz Beni, Manal M. Yasser, Aya I. Tagyan, M. Sayed Mohamed, Dalal Hussien M. Alkhalifah, and Wael N. Hozzein. "Incidence of Multi-Drug Resistant Organisms in Trauma and Surgical Intensive Care Units at Beni-Suef University Hospital: A Comparative Analysis." Biosciences Biotechnology Research Asia 21, no. 3 (2024): 1015–27. http://dx.doi.org/10.13005/bbra/3281.

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ABSTRACT: Background: Hospital acquired infections caused by multi-drug resistant organisms are a significant health risk in Trauma and Surgical Intensive Care Units (TICU and SICU), leading to increased morbidity, mortality, and healthcare costs. The rise of multidrug-resistant (MDR) organisms exacerbates these challenges, making effective infection control and antimicrobial stewardship critical for improving patient outcomes. Objective: This study aimed to investigate the microbial epidemiology and prevalence of multidrug-resistant (MDR) organisms in the Trauma and Surgical Intensive Care Un
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Apisarnthanarak, Anucha, Timothy M. Uyeki, Pilaipan Puthavathana, Rungrueng Kitphati, and Linda M. Mundy. "Reduction of Seasonal Influenza Transmission among Healthcare Workers in an Intensive Care Unit: A 4-Year Intervention Study in Thailand." Infection Control & Hospital Epidemiology 31, no. 10 (2010): 996–1003. http://dx.doi.org/10.1086/656565.

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Objective.To evaluate the feasibility and effectiveness of an influenza control bundle to minimize healthcare-associated seasonal influenza transmission among healthcare workers (HCWs) in an intensive care unit (ICU) equipped with central air conditioning.Methods.A quasi-experimental study was conducted in a 500-bed tertiary care center in Thailand from July 1, 2005, through June 30, 2009. The medical ICU (MICU) implemented an influenza control bundle including healthcare worker (HCW) education, influenza screening of adult community-acquired pneumonia patients, antiviral treatment of patients
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Fyntanidou, Barbara, Kyriakos Fotiadis, Anna Diamantidou, et al. "Unexpected Failure Events in Surgical Patients: Failure of the System or of the Patient?" Asian Journal of Medicine and Health 5, no. 4 (2017): 1–6. https://doi.org/10.9734/AJMAH/2017/34519.

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<strong>Background:</strong> Unexpected failure events are undesired harmful effects, which result in prolonged hospital stay, higher mortality and morbidity rates and increased hospital costs. The aim of our study was to identify and thorough investigate patients hospitalized in our university surgical ward, who had to be transferred to the surgical ICU (SICU) due to such an event. <strong>Methods:</strong> This was a retrospective observational study performed in the surgical ward of a large, urban, teaching hospital during a 2.5 year period. All failure events, which resulted in the transpo
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Zaleski, Michael, Patrick Erdman, Joshua Adams, et al. "Establishing a Long-Term Model for Analysis and Improvement of Underfilled Blood Culture Volumes." American Journal of Clinical Pathology 151, no. 2 (2018): 164–70. http://dx.doi.org/10.1093/ajcp/aqy125.

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Abstract Objectives Underfilling of blood culture bottles decreases the sensitivity of the culture. We attempt to increase average blood culture fill volumes (ABCFVs) through an educational program. Methods Partnerships were established with four hospital units (surgical intensive care unit [SICU], medical intensive care unit [MICU], medical intermediate care unit [MIMCU], and hematology and oncology unit [HEME/ONC]). ABCFVs were continuously tracked and communicated to each unit monthly. Educational sessions were provided to each unit. Results ABCFVs for the SICU, MICU, MIMCU, and HEME/ONC we
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