Staff View
Hospitalization characteristics of metabolic syndrome patients

Descriptive

TitleInfo
Title
Hospitalization characteristics of metabolic syndrome patients
Name (type = personal)
NamePart (type = family)
Patel
NamePart (type = given)
Nimisha
NamePart (type = date)
1977-
DisplayForm
Nimisha Patel
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Srinivasan
NamePart (type = given)
Shankar
DisplayForm
Shankar Srinivasan
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
MITAL
NamePart (type = given)
DINESH P
DisplayForm
DINESH P MITAL
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Vyas
NamePart (type = given)
Riddhi
DisplayForm
Riddhi Vyas
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Health Professions
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2020
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2020-01
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Metabolic syndrome is a clinical condition that is characterized by multiple metabolic and cardiovascular diseases risk factors including obesity, high blood pressure or hypertension, insulin resistance and dyslipidemia. Obesity and hypertension are two of the highly prevalent associated with metabolic syndrome among US population. The obesity prevalence among US adults increased gradually since the 1990s and is now at widespread magnitudes with over two-thirds of US adults either overweight or obese. Alongside the prevalence of hypertension has also amplified, resulting in significant increase of adults who likely meet the criteria for metabolic syndrome and are therefore at the increased risk for more serious chronic condition. Hospital readmission rates for metabolic syndrome did not see decline in the years of modern medicine era.

This paper explores the factors associated with metabolic syndrome patients in terms of length of stay and in hospital cost. The data was obtained through the Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) dataset from 2012 to 2014. Study populations with primary diagnosis of metabolic syndrome using ICD-9-CM code were extracted and used for statistical analysis.

Descriptive analysis results showed that compared to non-metabolic syndrome patients, metabolic syndrome patient’s length of stay was longer at mean 5.10 days versus mean 4.57 days for non-metabolic syndrome patients. Additionally, total in-hospital charges for metabolic syndrome patients was 30% higher than non-metabolic syndrome patients. Risk of developing metabolic syndrome in female was slightly elevated than in men. Having metabolic syndrome in White ethnic group was high and exhibited substantial differences among different ethnicity. Lower socioeconomic status patients were 37% more prevalent in having metabolic syndrome than the higher income patients.

Logistic regression and General liner models were used to evaluate cost and length of stay. On average the length of stay was statistically significant longer for hypertension patients p <.0001. In addition, on average total cost was statistically significant higher for hypertension patients p .0004 and for obesity patients p <.0001. Metabolic syndrome patients on average billed $14974.65 more per procedure performed (p <.0001). Number of diagnosis cost $1654.88 more per diagnosis (p <.0001).

The odds ratio analysis concluded that Native American have 22% increase in the odds of having metabolic syndrome than White ethnicity. Male have 1.21 higher odds of having metabolic syndrome than female. It was observed that the odds of 30 years - 60 years of age have 30% higher risk of getting metabolic syndrome as compared to over 60 years of age. In less than or equal to 30 years of age the odds ratio average is 0.52 indicating that the 60 years and above age have high potential risk of getting metabolic syndrome as compared to <= 30 years old. In the ROC curve output of high c-statistics suggests that the model does not predict the outcomes randomly but in a more positive outcome as seen with the c-statistics values of 81.36%, 80.77% and 80.62% for the years 2012-2014 respectively. The result found that Hypertension present patients have 98% higher risk of getting metabolic syndrome as compared to a patient who does not have hypertension present.
Subject (authority = LCSH)
Topic
Metabolic syndrome -- Patients -- Hospital care
Subject (authority = RUETD)
Topic
Biomedical Informatics
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_10406
PhysicalDescription
Form (authority = gmd)
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (viii, 98 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
RelatedItem (type = host)
TitleInfo
Title
School of Health Professions ETD Collection
Identifier (type = local)
rucore10007400001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-skfa-pd49
Genre (authority = ExL-Esploro)
ETD doctoral
Back to the top

Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Patel
GivenName
Nimisha
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-10-25 15:25:33
AssociatedEntity
Name
Nimisha Patel
Role
Copyright holder
Affiliation
Rutgers University. School of Health Professions
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
CreatingApplication
Version
1.6
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-11-21T16:28:01
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-11-21T16:30:46
ApplicationName
Adobe PDF Library 19.21.79
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024