The Experts below are selected from a list of 285399 Experts worldwide ranked by ideXlab platform
Devanshi Dharaiya - One of the best experts on this subject based on the ideXlab platform.
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status migrainosus predictors of longer Hospital Stay p3 052
Neurology, 2015Co-Authors: Sumul Modi, Devanshi DharaiyaAbstract:OBJECTIVE: Longer Hospital Stay in status migrainosus is an indicator of poor headache control. We identified some predictors of longer inpatient Stay in patients admitted for status migrainosus. BACKGROUND: Large population, real world data analysis identifying predictors of longer Hospital Stay in status migrainosus are lacking. DESIGN/METHODS: Nationwide Inpatient Sample (NIS) was searched to identify patients with primary diagnosis of status migrainosus (ICD-9 codes 346.x2, 346.x3). Patients with age less than 16 years were excluded. Also patients with secondary diagnosis of other headache syndromes, idiopathic intracranial hypertension, cervicalgia and occipital neuralgia were excluded to improve diagnostic certainty. Different comorbid conditions were identified using comorbidity variables and ICD-9 codes. Multiple linear regression was used to identify patient demographics, Hospital characteristics and comorbid illnesses as predicting variables for longer length of Stay (LOS). Log transformation of LOS was used in the regression model. RESULTS: Total 4550 patients with status migrainosus were identified from year 2008 to 2011. Median length of Stay was 3 days and median patient age was 38 years. Out of total patients, 85.4[percnt] were females; 64[percnt] were admitted to Hospitals with large bed size; 91.8[percnt] were in urban Hospitals; 26.1[percnt] had chronic hypertension and 9.7[percnt] had a diagnosis of mood disorder. Every decade increment in age, female gender, larger Hospital bed size, urban Hospital location, hypertension, and mood disorder were significant predictors of longer LOS in the multiple linear regression. CONCLUSIONS: In this retrospective analysis, we found that every decade increment in age, female gender, larger Hospital bed size, urban Hospital location, hypertension, and mood disorder were significant predictors of longer Hospital Stay in patients admitted for status migrainosus. Study Supported by: Disclosure: Dr. Modi has nothing to disclose. Dr. Dharaiya has nothing to disclose.
P Dionigi - One of the best experts on this subject based on the ideXlab platform.
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nutritional parameters associated with prolonged Hospital Stay among ambulatory adult patients
Canadian Medical Association Journal, 2010Co-Authors: Riccardo Caccialanza, Catherine Klersy, Emanuele Cereda, B Cameletti, A Bonoldi, C Bonardi, M Marinelli, P DionigiAbstract:Background: Comprehensive evaluations of the nutritional parameters associated with length of Hospital Stay are lacking. We investigated the association between malnutrition and length of Hospital Stay in a cohort of ambulatory adult patients. Methods: From September 2006 to June 2009, we systematically evaluated 1274 ambulatory adult patients admitted to Hospital for medical or surgical treatment. We evaluated the associations between malnutrition and prolonged Hospital Stay (> 17 days [> 75th percentile of distribution]) using multivariable log-linear models adjusted for several potential nutritional and clinical confounders recorded at admission and collected during and at the end of the Hospital Stay. Results: Nutritional factors associated with a prolonged Hospital Stay were a Nutritional Risk Index score of less than 97.5 (relative risk [RR] 1.64, 95% confidence interval [CI] 1.31–2.06) and an in-Hospital weight loss of 5% or greater (RR 1.60, 95% CI 1.30–1.97). Sensitivity analysis of data for patients discharged alive and who had a length of Stay of at least three days ( n = 1073) produced similar findings (adjusted RR 1.51, 95% CI 1.20–1.89, for Nutritional Risk Index score Interpretation: Nutritional risk at admission was strongly associated with a prolonged Hospital Stay among ambulatory adult patients. Another factor associated with length of Stay was worsening nutritional status during the Hospital Stay, whose cause–effect relationship with length of Stay should be clarified in intervention trials. Clinicians need to be aware of the impact of malnutrition and of the potential role of worsening nutritional status in prolonging Hospital Stay.
Sumul Modi - One of the best experts on this subject based on the ideXlab platform.
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status migrainosus predictors of longer Hospital Stay p3 052
Neurology, 2015Co-Authors: Sumul Modi, Devanshi DharaiyaAbstract:OBJECTIVE: Longer Hospital Stay in status migrainosus is an indicator of poor headache control. We identified some predictors of longer inpatient Stay in patients admitted for status migrainosus. BACKGROUND: Large population, real world data analysis identifying predictors of longer Hospital Stay in status migrainosus are lacking. DESIGN/METHODS: Nationwide Inpatient Sample (NIS) was searched to identify patients with primary diagnosis of status migrainosus (ICD-9 codes 346.x2, 346.x3). Patients with age less than 16 years were excluded. Also patients with secondary diagnosis of other headache syndromes, idiopathic intracranial hypertension, cervicalgia and occipital neuralgia were excluded to improve diagnostic certainty. Different comorbid conditions were identified using comorbidity variables and ICD-9 codes. Multiple linear regression was used to identify patient demographics, Hospital characteristics and comorbid illnesses as predicting variables for longer length of Stay (LOS). Log transformation of LOS was used in the regression model. RESULTS: Total 4550 patients with status migrainosus were identified from year 2008 to 2011. Median length of Stay was 3 days and median patient age was 38 years. Out of total patients, 85.4[percnt] were females; 64[percnt] were admitted to Hospitals with large bed size; 91.8[percnt] were in urban Hospitals; 26.1[percnt] had chronic hypertension and 9.7[percnt] had a diagnosis of mood disorder. Every decade increment in age, female gender, larger Hospital bed size, urban Hospital location, hypertension, and mood disorder were significant predictors of longer LOS in the multiple linear regression. CONCLUSIONS: In this retrospective analysis, we found that every decade increment in age, female gender, larger Hospital bed size, urban Hospital location, hypertension, and mood disorder were significant predictors of longer Hospital Stay in patients admitted for status migrainosus. Study Supported by: Disclosure: Dr. Modi has nothing to disclose. Dr. Dharaiya has nothing to disclose.
Claire M. Andrews - One of the best experts on this subject based on the ideXlab platform.
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Ventilatory and Predictors of Hospital Stay in Neonates
2020Co-Authors: Shyang-yun Pamela, K. Shiao, Claire M. AndrewsAbstract:Background: Ventilatory support in neonatal intensive care units (NICU) and related care modalities have profound lifelong benefits for neonates. Method: Ventilatory support and predictors of Hospital Stay were prospectively examined in 262 neonates and their mothers who were admitted to a NICU. A mixed-model, generalized estimating equation approach was used for prediction analysis, accounting for the dependencies of multiple births (26.3% of sample). Results: Predictors for Hospital Stay included gestational age, congenital defects, birth weight, days requiring ventilator support, and oxygen support. Cubic curves present the best-fit model for the relationships between maturity (gestational age and birth weight) and length of Hospital Stay; along with days requiring
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Ventilatory support and predictors of Hospital Stay in neonates
Newborn and Infant Nursing Reviews, 2003Co-Authors: Shyang Yun Pamela K Shiao, Claire M. AndrewsAbstract:Abstract Background : Ventilatory support in neonatal intensive care units (NICU) and related care modalities have profound lifelong benefits for neonates. Method : Ventilatory support and predictors of Hospital Stay were prospectively examined in 262 neonates and their mothers who were admitted to a NICU. A mixed-model, generalized estimating equation approach was used for prediction analysis, accounting for the dependencies of multiple births (26.3% of sample). Results : Predictors for Hospital Stay included gestational age, congenital defects, birth weight, days requiring ventilator support, and oxygen support. Cubic curves present the best-fit model for the relationships between maturity (gestational age and birth weight) and length of Hospital Stay; along with days requiring oxygen support, ventilator support, and central arterial and venous access lines. Conclusion : Ventilatory support and associated care modalities are important resources for high-risk neonates during Hospital Stay. Future studies need to determine the best care course for neonatal ventilatory support to prevent complications.
Kenneth Freundlich - One of the best experts on this subject based on the ideXlab platform.
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cerebral oxygen desaturation predicts cognitive decline and longer Hospital Stay after cardiac surgery
The Annals of Thoracic Surgery, 2009Co-Authors: James P Slater, Theresa Guarino, Jessica Stack, Kateki Vinod, Rami Bustami, John M Brown, Alejandro L Rodriguez, Christopher J Magovern, Thomas S Zaubler, Kenneth FreundlichAbstract:Background Previous studies have reported an 11% to 75% incidence of postoperative cognitive decline among cardiac surgery patients. The INVOS Cerebral Oximeter (Somanetics Corp, Troy, MI) is a Food and Drug Administration approved device that measures regional cerebral oxygen (rSo 2 ) saturation. The purpose of this study is to examine whether decreased rSo 2 predicts cognitive decline and prolonged Hospital Stay after coronary artery bypass grafting (CABG). Methods The rSo 2 was monitored intraoperatively in a cohort of primary CABG patients. Patients were prospectively randomized to a blinded control group or an unblinded intervention group. Cognitive function was assessed preoperatively, postoperatively, and at 3 months using a battery of standardized neurocognitive tests. Cognitive decline was defined as a decrease of one standard deviation or more in performance on at least one neurocognitive measure. The rSo 2 desaturation score was calculated by multiplying rSo 2 below 50% by time (seconds). Multivariate logistic regression models were used to assess cognitive decline and Hospital Stay. The change in cognitive performance was also assessed using a multivariate linear regression model. Results Patients with rSo 2 desaturation score greater than 3,000%-second had a significantly higher risk of early postoperative cognitive decline [ p = 0.024]. Patients with rSo 2 desaturation score greater than 3,000%-second also had a near threefold increased risk of prolonged Hospital Stay (>6 days) [ p = 0.007]. Conclusions Intraoperative cerebral oxygen desaturation is significantly associated with an increased risk of cognitive decline and prolonged Hospital Stay after CABG.
