Anaesthetic considerations in metabolic syndrome X

Goel, Nitesh; Gupta, Kapil; Bhadoria, Poonam; Anand, Raktima

doi:10.4103/0019-5049.60512

Cited by 2 publications

(5 citation statements)

References 3 publications

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“…Another stated consideration for scoring tools included quality assurance. Not only can it control for severity of illness, 12,13 but also it may be used as a transport outcome variable 13 and monitor the quality of care received and the impact on patient outcomes over time 16 . Our center recently analyzed the use of the TRAP scoring tool used at different phases of the transport and reported an improvement in the severity of illness score between the time of arrival of the team to the patient and the arrival of the team to the final destination 17 …”

Section: Discussionmentioning

confidence: 99%

“…Multiple and varied reasons were provided for incorporating the use of a severity of illness tool including triaging patients and determining patient disposition. The utilization of a standardized and validated severity of illness tool during transport may enhance objectivity and improve precision related to patient diagnosis and disposition 13 . Early differentiation and prognostication related to pediatric acute care diagnosis have been shown to be a challenge 13 with diagnostic discordance occurring between the community referring physician and accepting pediatrician at a high rate 14 .…”

Section: Discussionmentioning

confidence: 99%

“…Early differentiation and prognostication related to pediatric acute care diagnosis have been shown to be a challenge 13 with diagnostic discordance occurring between the community referring physician and accepting pediatrician at a high rate 14 . Validated severity of illness scoring tools provide the opportunity to improve consistency related to clinical severity prediction 13,15 . In terms of pediatric IFTs, a standardized and reliable scoring tool may offer indicators that allow transport medical control physicians to forecast clinical trajectory and determine disposition with greater consistency 3,6,7 .…”

Section: Discussionmentioning

confidence: 99%

“…The utilization of a standardized and validated severity of illness tool during transport may enhance objectivity and improve precision related to patient diagnosis and disposition 13 . Early differentiation and prognostication related to pediatric acute care diagnosis have been shown to be a challenge 13 with diagnostic discordance occurring between the community referring physician and accepting pediatrician at a high rate 14 . Validated severity of illness scoring tools provide the opportunity to improve consistency related to clinical severity prediction 13,15 .…”

Section: Discussionmentioning

confidence: 99%

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Severity of Illness Scoring for Pediatric Interfacility Transport

Mansoor

Hansen²,

Bigham

et al. 2022

Pediatr Emer Care

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Objective: Severity of illness scoring during pediatric critical care transport may provide objective data to determine illness trajectory and disposition and contribute to quality assurance data for pediatric transport programs. The objective of this study was to ascertain the breadth of severity of illness scoring tool application among North American pediatric critical care transport teams.Methods: A cross-sectional quantitative survey using REDCap was distributed to 137 North American pediatric transport programs. Baseline team characteristics were established along with questions related to severity of illness tool application.Descriptive statistics were used for analysis.Results: There were 55 responses (40%), and of those, 13 (24%) use a severity of illness scoring tool within their practice. A variety of tools were used including:

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Severity of Illness Scoring for Pediatric Interfacility Transport

Mansoor

Hansen²,

Bigham

et al. 2022

Pediatr Emer Care

View full text Add to dashboard Cite

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“…Hyperglycemia in critically ill patients adversely affects perioperative outcomes of these patients [15]. Achieving euglycemia seems beneficial in certain clinical situations [16] [17], but there is disagreement about the ideal target glycemia, duration of therapy, and modality. Pharmacotherapy, exercise and nutrition to improve insulin sensitivity appear promising, but require further evaluation to confirm its effectiveness in reducing perioperative risk [18].…”

Section: Introductionmentioning

confidence: 99%

Metabolic Syndrome and Perioperative Complications during Scheduled Surgeries with Spinal Anesthesia

Pomares¹,

Mora-García²,

Palomino³

et al. 2014

OJAnes

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Background: Metabolic syndrome (MS) is a constellation of factors associated with increased risk of developing cardiovascular diseases and Diabetes Mellitus. Despite of the many studies related to MS, little is known about its impact on scenarios such as surgical anesthesia. Objective: To examine the correlation between demographic and metabolic variables with the occurrence of perioperative complications in patients with MS undergoing scheduled surgeries using a spinal anesthesia technique in the surgery department at the University Clinic San Juan de Dios in Cartagena de Indias, Colombia. Methods: Observational, analytical, cross-sectional, single-center study of 150 subjects with MS and 150 control subjects. Perioperative complications, socio-demographic, hemodynamic and respiratory variables were registered. Groups were compared using t test, Fisher's exact test or Chi-square, as appropriate. We applied a logistic multiple regression model, adjusted by backward stepwise at 0.25 and forward at 0.05, to find possible incompatible associations. p value < 0.05 was considered significant. Results: There were significant differences between groups in age, American Society of Anesthesiologists physical status classification, frequency of diseases associated to MS and perioperative complications. There were no cases of mortality among patients. There was statistically significant difference between the two groups for intraoperative hypotension and hypertension with p values of <0.0001 and 0.034. Among postoperative complications there was statistically significant difference in pain (13.3% vs 5.3% in patients without MS) and nausea and/or postoperative vomiting (8% vs 2% in patients without MS) with a * Corresponding author. J. Pomares et al. 168 p value of 0.027 and 0.015 (by Fisher) respectively. Conclusions: Metabolic abnormalities in MS are a risk factor for developing complications in the perioperative period of patients scheduled for surgeries using the subarachnoid anesthesia technique. Accordingly, it is appropriate to implement health intervention strategies by the surgical team, aiming at their prevention and management.

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Anaesthetic considerations in metabolic syndrome X

Cited by 2 publications

References 3 publications

Severity of Illness Scoring for Pediatric Interfacility Transport

Severity of Illness Scoring for Pediatric Interfacility Transport

Metabolic Syndrome and Perioperative Complications during Scheduled Surgeries with Spinal Anesthesia

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