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    <title>DSpace Collection:</title>
    <link>https://dspace.sduaher.ac.in/jspui/handle/123456789/9010</link>
    <description />
    <items>
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        <rdf:li rdf:resource="https://dspace.sduaher.ac.in/jspui/handle/123456789/9638" />
        <rdf:li rdf:resource="https://dspace.sduaher.ac.in/jspui/handle/123456789/9570" />
        <rdf:li rdf:resource="https://dspace.sduaher.ac.in/jspui/handle/123456789/9250" />
        <rdf:li rdf:resource="https://dspace.sduaher.ac.in/jspui/handle/123456789/9021" />
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    </items>
    <dc:date>2026-02-03T15:36:45Z</dc:date>
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  <item rdf:about="https://dspace.sduaher.ac.in/jspui/handle/123456789/9638">
    <title>Comparison of the Poisoning Severity Score, Sequential Organ Failure Assessment Score, and Acute Physiology and Chronic Health Evaluation II Score with Lactate to assess the outcome in Acute Organophosphorus Poisoning</title>
    <link>https://dspace.sduaher.ac.in/jspui/handle/123456789/9638</link>
    <description>Title: Comparison of the Poisoning Severity Score, Sequential Organ Failure Assessment Score, and Acute Physiology and Chronic Health Evaluation II Score with Lactate to assess the outcome in Acute Organophosphorus Poisoning
Authors: Krishna, Moorthy.; Manjupriya, S.; Rajesh, K.; Devendra Prasad, K J
Abstract: ABSTRACT&#xD;
 Introduction: Organophosphorus	pesticide	self-poisoning	is	estimated	to	kill	around	200000	people	yearly.	Early	&#xD;
recognition	is	life-saving	as	the	mortality	rates	are	high	following	OP	Poisoning.	Acute	Physiology	and	Chronic	&#xD;
Health	Evaluation	II	Score	(APACHE	II)		Sequential	Organ	Failure	Assessment	Score	(SOFA),	and	Poisoning	&#xD;
Severity	Score	(PSS)	with	Lactate,	are	used	to	evaluate	the	prognosis.&#xD;
 Materials and Methods: This	prospective	observational	study	included	236	individuals	with	acute	OP	poisoning	&#xD;
who	presented	to	the	emergency	department	and	were	hospitalized	in	the	critical	care	unit	and	step-down	ICU.	&#xD;
PSS,	SOFA,	and	APACHE	II	scores	were	calculated	at	Emergency	Department	and	followed	up	with	the	patient	&#xD;
until discharge or death. &#xD;
Results and Discussion: Patients	had	a	mean	age	of	32.8	±	13.4	years	and	were	49.2%	female	and	50.8%	male.	&#xD;
Out	of	236	patients,	22	patients	died	and	214	were	discharged.	The	best	cut-off	values	for	predicting	mortality	&#xD;
with	PSS,	SOFA,	and	APACHE	II	scores	were	2,	3,	and	15,	with	AUROC	of	0.929,	0.970,	and	0.984.	In	addition	&#xD;
to	Lactate	to	the	above	scores,	the	AUROC	increased	to	0.981,	0.993,	and	0.992,	respectively.	The	study	found	&#xD;
that	SOFA	and	APACHE	II	scores	with	Lactate	are	significantly	associated	with	mortality	and	have	strong	&#xD;
discriminative	power	in	predicting	mortality.</description>
    <dc:date>2023-04-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://dspace.sduaher.ac.in/jspui/handle/123456789/9570">
    <title>A Comparative Study on Predictive Validity of Modified Shock Index, Shock Index, and Age Shock Index in Predicting the Need for Mechanical Ventilation among Sepsis Patients in a Tertiary Care Hospital</title>
    <link>https://dspace.sduaher.ac.in/jspui/handle/123456789/9570</link>
    <description>Title: A Comparative Study on Predictive Validity of Modified Shock Index, Shock Index, and Age Shock Index in Predicting the Need for Mechanical Ventilation among Sepsis Patients in a Tertiary Care Hospital
Authors: Devendra Prasad., K J; Bindu., Hima K C; Abhinov T, Moorthy.; Rajesh, K
Abstract: Introduction: The shock index (SI), modified shock index (MSI), and age multiplied by SI (ASI) are used to assess the severity of shock.&#xD;
They are also used to predict the mortality of trauma patients, but their validity for sepsis patients is controversial. The aim of this study is&#xD;
to assess the predictive value of the SI, MSI, and ASI in predicting the need for mechanical ventilation after 24 h of admission among sepsis&#xD;
patients. Methods: A prospective observational study was conducted in a tertiary care teaching hospital. Patients with sepsis (235) diagnosed&#xD;
based on systemic inflammatory response syndrome criteria and quick sequential organ failure assessment were included in the study. The&#xD;
need for mechanical ventilation after 24 h is the outcome variables MSI, SI, and ASI were considered as predictor variables. The utility of&#xD;
MSI, SI, and ASI in predicting mechanical ventilation was assessed by receiver operative curve analysis. Data were analyzed using coGuide.&#xD;
Results: Among the study population, the mean age was 56.12 ± 17.28 years. MSI value at the time of disposition from the emergency room&#xD;
had good predictive validity in predicting mechanical ventilation after 24 h, as indicated by the area under the curve (AUC) of 0.81 (P &lt; 0.001),&#xD;
SI and ASI had fair predictive validity for mechanical ventilation as indicated by AUC (0.78, P &lt; 0.001) and (0.802, P &lt; 0.001), respectively.&#xD;
Conclusion: SI had better sensitivity (78.57%) and specificity (77.07%) compared to ASI and MSI in predicting the need for mechanical&#xD;
ventilation after 24 h in sepsis patients admitted to intensive care units.</description>
    <dc:date>2023-03-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://dspace.sduaher.ac.in/jspui/handle/123456789/9250">
    <title>The impact of alcohol intoxication on early Glasgow Coma Scale‑Pupil reactivity score in patients with traumatic brain injury: A prospective observational study</title>
    <link>https://dspace.sduaher.ac.in/jspui/handle/123456789/9250</link>
    <description>Title: The impact of alcohol intoxication on early Glasgow Coma Scale‑Pupil reactivity score in patients with traumatic brain injury: A prospective observational study
Authors: Thamminaina, A.; Devendra Prasad, K.J.; Abhilash, T.; Krishna Moorthy, D.G.S.R.; Rajesh, K.
Abstract: Background: A simple arithmetic combination of the Glasgow Coma Scale (GCS) score and &#xD;
pupillary response, the GCS‑Pupil (GCS‑P), extends the information provided about the &#xD;
patient outcome to an extent comparable to that obtained using more complex methods. &#xD;
The objective of the study was to compare the changes in the GCS‑P score of patients &#xD;
with traumatic brain injury (TBI) under alcohol intoxication and nontoxication over time.&#xD;
 Methods: A prospective observational study was done in a hospital at the Level I trauma &#xD;
center. The patients admitted to the emergency department (ED) with TBI were the &#xD;
study participants. They were grouped into intoxicated and nonintoxicated based on &#xD;
blood alcohol concentration (BAC). BAC of 0.08% and above was considered intoxication. &#xD;
GCS‑P score in the ED and the best day 1 GCS‑P score were the outcome variables. For &#xD;
nonnormally distributed quantitative parameters, medians and interquartile range were &#xD;
compared between study groups using Mann–Whitney U‑test. P &lt;0.05 was considered &#xD;
statistically significant.&#xD;
 Results: A total of 216 patients were included in the final analysis. There was no statistically &#xD;
significant difference between BAC in GCS‑P score at different follow‑up periods, GCS‑P &#xD;
score (ED), and GCS‑P score (best day 1).&#xD;
 Conclusion: This prospective observational study showed a low GCS‑P score for &#xD;
alcohol‑intoxicated patients compared to nonintoxicated patients, which was not statistically &#xD;
significant. There was no significant difference in emergency GCS‑P score and best day &#xD;
1 score between alcohol‑intoxicated and nonintoxicated patients.</description>
    <dc:date>2022-03-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://dspace.sduaher.ac.in/jspui/handle/123456789/9021">
    <title>Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly.</title>
    <link>https://dspace.sduaher.ac.in/jspui/handle/123456789/9021</link>
    <description>Title: Prediction of Outcome Based on Trauma and Injury Severity Score, IMPACT and CRASH Prognostic Models in Moderate-to-Severe Traumatic Brain Injury in the Elderly.
Authors: Siva Rama Krishna Moorthy, Dhoni Ganesh; Krishnappa, Rajesh; Manju Priya, Sarathy; Abhinov, Thaminaina; Devendra Prasad, Kalavagunta Jyothiswarapillai
Abstract: Objectives: This study aimed to evaluate the trauma and injury severity score (TRISS),&#xD;
IMPACT (international mission for prognosis and analysis of clinical trials), and&#xD;
CRASH (corticosteroid randomization after significant head injury) prognostic models for&#xD;
prediction of outcome after moderate‑to‑severe traumatic brain injury (TBI) in the elderly following&#xD;
road traffic accident. Design: This was a prospective observational study. Materials and Methods:&#xD;
This was a prospective observational study on 104 elderly trauma patients who were admitted to&#xD;
tertiary care hospital, over a consecutive period of 18 months from December 2016 to May 2018.&#xD;
On the day of admission, data were collected from each patient to compute the TRISS, IMPACT,&#xD;
and CRASH and outcome evaluation was prospectively done at discharge, 14th day, and 6‑month&#xD;
follow‑up. Results: This study included 104 TBI patients with a mean age of 66.75 years and&#xD;
with a mortality rate of 32% and 45%, respectively, at discharge and at the end of 6 months.&#xD;
The predictive accuracies of the TRISS, CRASH (computed tomography), and IMPACT (core,&#xD;
extended, laboratory) were calculated using receiver operator characteristic (ROC) curves for the&#xD;
prediction of mortality. Best cutoff point for predicting mortality in elderly TBI patients using&#xD;
TRISS system was a score of ≤88 (sensitivity 94%, specificity of 80%, and area under ROC curve&#xD;
0.95), similarly cutoff point under the CRASH at 14 days was score of &gt;35 (100%, 80%, 0.958);&#xD;
for CRASH at 6 months, best cutoff point was at &gt;84 (88%, 88%, 0.959); for IMPACT (core),&#xD;
it was &gt;38 (88%, 93%, 0.976); for IMPACT (extended), it was &gt;27 (91%, 89%, 0.968); and for&#xD;
IMPACT (lab), it was &gt;41 (82%, 100%, 0.954). There were statistical differences among TRISS,&#xD;
CRASH (at 14 days and 6 months), and IMPACT (core, extended, lab) in terms of area under&#xD;
the ROC curve (P &lt; 0.0001). Conclusion: IMPACT (core, extended) models were the strongest&#xD;
predictors of mortality in moderate‑to‑severe TBI when compared with the TRISS, CRASH, and&#xD;
IMPACT (lab) models.</description>
    <dc:date>2021-07-01T00:00:00Z</dc:date>
  </item>
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