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66 results

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Page 1
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.
Fleuren LM, Klausch TLT, Zwager CL, Schoonmade LJ, Guo T, Roggeveen LF, Swart EL, Girbes ARJ, Thoral P, Ercole A, Hoogendoorn M, Elbers PWG. Fleuren LM, et al. Intensive Care Med. 2020 Mar;46(3):383-400. doi: 10.1007/s00134-019-05872-y. Epub 2020 Jan 21. Intensive Care Med. 2020. PMID: 31965266 Free PMC article.
PURPOSE: Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have emerged. ...The majority of papers were developed in the intensive care unit (ICU, n = 15; 54%), followed by …
PURPOSE: Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time model …
Criteria for Pediatric Sepsis-A Systematic Review and Meta-Analysis by the Pediatric Sepsis Definition Taskforce.
Menon K, Schlapbach LJ, Akech S, Argent A, Biban P, Carrol ED, Chiotos K, Jobayer Chisti M, Evans IVR, Inwald DP, Ishimine P, Kissoon N, Lodha R, Nadel S, Oliveira CF, Peters M, Sadeghirad B, Scott HF, de Souza DC, Tissieres P, Watson RS, Wiens MO, Wynn JL, Zimmerman JJ, Sorce LR; Pediatric Sepsis Definition Taskforce of the Society of Critical Care Medicine. Menon K, et al. Crit Care Med. 2022 Jan 1;50(1):21-36. doi: 10.1097/CCM.0000000000005294. Crit Care Med. 2022. PMID: 34612847 Free PMC article.
OBJECTIVE: To determine the associations of demographic, clinical, laboratory, organ dysfunction, and illness severity variable values with: 1) sepsis, severe sepsis, or septic shock in children with infection and 2) multiple organ dysfunction or death in children w …
OBJECTIVE: To determine the associations of demographic, clinical, laboratory, organ dysfunction, and illness severity variable values with: …
The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis.
Guan G, Lee CMY, Begg S, Crombie A, Mnatzaganian G. Guan G, et al. PLoS One. 2022 Mar 17;17(3):e0265559. doi: 10.1371/journal.pone.0265559. eCollection 2022. PLoS One. 2022. PMID: 35298560 Free PMC article.
BACKGROUND: It is unclear which Early Warning System (EWS) score best predicts in-hospital deterioration of patients when applied in the Emergency Department (ED) or prehospital setting. METHODS: This systematic review (SR) and meta-analysis assessed the pred …
BACKGROUND: It is unclear which Early Warning System (EWS) score best predicts in-hospital deterioration of patients when applied in …
Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models.
Issaiy M, Zarei D, Saghazadeh A. Issaiy M, et al. World J Emerg Surg. 2023 Dec 19;18(1):59. doi: 10.1186/s13017-023-00527-2. World J Emerg Surg. 2023. PMID: 38114983 Free PMC article.
BACKGROUND: To assess the efficacy of artificial intelligence (AI) models in diagnosing and prognosticating acute appendicitis (AA) in adult patients compared to traditional methods. AA is a common cause of emergency department visits and abdominal surgeries. It is …
BACKGROUND: To assess the efficacy of artificial intelligence (AI) models in diagnosing and prognosticating acute appendicitis (AA) in adult …
Systemic interventions for treatment of Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), and SJS/TEN overlap syndrome.
Jacobsen A, Olabi B, Langley A, Beecker J, Mutter E, Shelley A, Worley B, Ramsay T, Saavedra A, Parker R, Stewart F, Pardo Pardo J. Jacobsen A, et al. Cochrane Database Syst Rev. 2022 Mar 11;3(3):CD013130. doi: 10.1002/14651858.CD013130.pub2. Cochrane Database Syst Rev. 2022. PMID: 35274741 Free PMC article.
Most studies did not report study duration or time to follow-up. Two studies reported a mean SCORe of Toxic Epidermal Necrosis (SCORTEN) of 3 and 1.9. Seven studies did not report SCORTEN, although four of these studies reported average or ranges of body surface area (BSA) …
Most studies did not report study duration or time to follow-up. Two studies reported a mean SCORe of Toxic Epidermal Necrosis (SCORT …
Acute kidney injury in burn patients admitted to the intensive care unit: a systematic review and meta-analysis.
Folkestad T, Brurberg KG, Nordhuus KM, Tveiten CK, Guttormsen AB, Os I, Beitland S. Folkestad T, et al. Crit Care. 2020 Jan 2;24(1):2. doi: 10.1186/s13054-019-2710-4. Crit Care. 2020. PMID: 31898523 Free PMC article.
RESULTS: We included 33 observational studies comprising 8200 patients. Overall study quality, scored according to the Newcastle-Ottawa scale, was moderate. Random effect model meta-analysis revealed that the incidence of AKI among burn patients in the ICU was 38 (30-46) % …
RESULTS: We included 33 observational studies comprising 8200 patients. Overall study quality, scored according to the Newcastle-Otta …
Early rehabilitation to prevent postintensive care syndrome in patients with critical illness: a systematic review and meta-analysis.
Fuke R, Hifumi T, Kondo Y, Hatakeyama J, Takei T, Yamakawa K, Inoue S, Nishida O. Fuke R, et al. BMJ Open. 2018 May 5;8(5):e019998. doi: 10.1136/bmjopen-2017-019998. BMJ Open. 2018. PMID: 29730622 Free PMC article.
The secondary outcomes were the standardised, long-term health-related quality of life scores (EuroQol 5 Dimension (EQ5D) and the Medical Outcomes Study 36-Item Short Form Health Survey Physical Function Scale (SF-36 PF)). ...However, the two groups did not differ in terms …
The secondary outcomes were the standardised, long-term health-related quality of life scores (EuroQol 5 Dimension (EQ5D) and the Med …
Timing of major fracture care in polytrauma patients - An update on principles, parameters and strategies for 2020.
Pape HC, Halvachizadeh S, Leenen L, Velmahos GD, Buckley R, Giannoudis PV. Pape HC, et al. Injury. 2019 Oct;50(10):1656-1670. doi: 10.1016/j.injury.2019.09.021. Epub 2019 Sep 13. Injury. 2019. PMID: 31558277 Free article.
Parameters evaluated were mortality, ICU stay, ICU complications (Sepsis, Pneumonia, Multiple organ failure). RESULTS: I. From the electronic databases, 5141 articles were deemed to be relevant. 169 articles met the inclusion criteria and a manual review of reference lists …
Parameters evaluated were mortality, ICU stay, ICU complications (Sepsis, Pneumonia, Multiple organ failure). RESULTS: I. From the el …
Ulinastatin and/or thymosin alpha1 for severe sepsis: A systematic review and meta-analysis.
Feng Z, Shi Q, Fan Y, Wang Q, Yin W. Feng Z, et al. J Trauma Acute Care Surg. 2016 Feb;80(2):335-40. doi: 10.1097/TA.0000000000000909. J Trauma Acute Care Surg. 2016. PMID: 26517783
In the secondary outcome measures, there was obvious heterogeneity in the length of the intensive care unit stay and that of the mechanical ventilation, length of the antibiotics and vasopressor use, and 28-day Acute Physiology and Chronic Health Evaluation II (APACHE II) scor …
In the secondary outcome measures, there was obvious heterogeneity in the length of the intensive care unit stay and that of the mechanical …
Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis.
Zhang Y, Xu W, Yang P, Zhang A. Zhang Y, et al. BMC Med Inform Decis Mak. 2023 Dec 11;23(1):283. doi: 10.1186/s12911-023-02383-1. BMC Med Inform Decis Mak. 2023. PMID: 38082381 Free PMC article.
Machine learning outperformed conventional clinical scoring tools and showed excellent C-index, sensitivity, and specificity in different subgroups. ...This study found that lactate was the most frequent predictor but was seriously ignored by current clinical scoring …
Machine learning outperformed conventional clinical scoring tools and showed excellent C-index, sensitivity, and specificity in diffe …
66 results