The effects of chronic pulmonary disease on hospital length of stay and cost of hospitalization after neurosurgery

Varhabhatla, Narayana; Zuo, Zhiyi

doi:10.3171/2011.3.jns101608

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…The diagnosis of chronic pulmonary disease, heart disease, hypertension, diabetes mellitus, and liver dysfunction were made by physicians and recorded in the patient's chart. Chronic pulmonary disease included any of the following diseases: chronic obstructive pulmonary disease, asthma, chronic bronchitis, bronchiectasis, emphysema, and occupational lung diseases (19). Heart diseases included any of the following diseases: arrhythmias, hypertensive heart disease, ischemic heart disease, valvulopathies, and heart failure (20).…”

Section: Clinicopathological Materialsmentioning

confidence: 99%

Nomogram to Predict Intensive Care Following Gastrectomy for Gastric Cancer: A Useful Clinical Tool to Guide the Decision-Making of Intensive Care Unit Admission

et al. 2022

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BackgroundWe aimed to generate and validate a nomogram to predict patients most likely to require intensive care unit (ICU) admission following gastric cancer surgery to improve postoperative outcomes and optimize the allocation of medical resources.MethodsWe retrospectively analyzed 3,468 patients who underwent gastrectomy for gastric cancer from January 2009 to June 2018. Here, 70.0% of the patients were randomly assigned to the training cohort, and 30.0% were assigned to the validation cohort. Least absolute shrinkage and selection operator (LASSO) method was performed to screen out risk factors for ICU-specific care using the training cohort. Then, based on the results of LASSO regression analysis, multivariable logistic regression analysis was performed to establish the prediction nomogram. The calibration and discrimination of the nomogram were evaluated in the training cohort and validated in the validation cohort. Finally, the clinical usefulness was determined by decision curve analysis (DCA).ResultsAge, the American Society of Anesthesiologists (ASA) score, chronic pulmonary disease, heart disease, hypertension, combined organ resection, and preoperative and/or intraoperative blood transfusions were selected for the model. The concordance index (C-index) of the model was 0.843 in the training cohort and 0.831 in the validation cohort. The calibration curves of the ICU-specific care risk nomogram suggested great agreement in both training and validation cohorts. The DCA showed that the nomogram was clinically useful.ConclusionsAge, ASA score, chronic pulmonary disease, heart disease, hypertension, combined organ resection, and preoperative and/or intraoperative blood transfusions were identified as risk factors for ICU-specific care after gastric surgery. A clinically friendly model was generated to identify those most likely to require intensive care.

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Section: Clinicopathological Materialsmentioning

confidence: 99%

Nomogram to Predict Intensive Care Following Gastrectomy for Gastric Cancer: A Useful Clinical Tool to Guide the Decision-Making of Intensive Care Unit Admission

et al. 2022

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“…LOS following major elective surgery, including craniotomy, has been studied, and various predictors of an extended LOS have been analyzed such as age, race, American Society of Anesthesiologists (ASA) class, chronic pulmonary disease, underlying liver disease, elevated intraoperative serum lactate, perioperative seizure(s), postoperative complications, resident participation, and magnet hospital status, among others [2,[4][5][6][7][8][9][10][11][12][13]. However, these studies have focused on adults, and many of them are based on administrative or nonneurosurgical databases that are not designed for clinical research and contain many variables that are irrelevant to neurosurgeons or neurosurgical patients [14,15].…”

Section: Introductionmentioning

confidence: 99%

Predictors of an Extended Length of Stay following an Elective Craniotomy in Children and Young Adults

et al. 2020

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Background: Length of stay (LOS) is now a generally accepted clinical metric within the USA. An extended LOS following an elective craniotomy can significantly impact overall costs. Few studies have evaluated predictors of an extended LOS in pediatric neurosurgical patients. Objective: The aim of the study was to determine predictors of an extended hospital LOS following an elective craniotomy in children and young adults. Methods: All pediatric patients and young adults undergoing an elective craniotomy between January 1, 2010, and April 1, 2019, were retrospectively identified using a prospectively maintained database. Demographic, clinical, radiological, and surgical data were collected. The primary outcome was extended LOS, defined as a postsurgical stay greater than 7 days. Bivariate and multivariable analyses were performed. Results: A total of 1,498 patients underwent 1,720 elective craniotomies during the study period over the course of 1,698 hospitalizations with a median LOS of 4 days (interquartile range 3–6 days). Of these encounters, 218 (12.8%) had a prolonged LOS. Multivariable analysis demonstrated that non-Caucasian race (OR = 1.9 [African American]; OR = 1.6 [other]), the presence of an existing shunt (OR = 1.8), the type of craniotomy (OR = 0.3 [vascular relative to Chiari]), and the presence of a postoperative complication (OR = 14.7) were associated with an extended LOS. Conclusions: Inherent and modifiable factors predict a hospital stay of more than a week in children and young adults undergoing an elective craniotomy.

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Hypernatremia at Hospital Discharge and Out of Hospital Mortality Following Primary Intracerebral Hemorrhage

et al. 2016

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The effects of chronic pulmonary disease on hospital length of stay and cost of hospitalization after neurosurgery

Abstract: Neurosurgical patients with CPD had a longer LOS and higher COH than patients without CPD.

Cited by 6 publications

References 15 publications

Nomogram to Predict Intensive Care Following Gastrectomy for Gastric Cancer: A Useful Clinical Tool to Guide the Decision-Making of Intensive Care Unit Admission

Nomogram to Predict Intensive Care Following Gastrectomy for Gastric Cancer: A Useful Clinical Tool to Guide the Decision-Making of Intensive Care Unit Admission

Predictors of an Extended Length of Stay following an Elective Craniotomy in Children and Young Adults

Hypernatremia at Hospital Discharge and Out of Hospital Mortality Following Primary Intracerebral Hemorrhage

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