The Sriwijaya University Library

  • Home
  • Information
  • News
  • Help
  • Login
  • Librarian
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of AKURASI PARAMETER COMPLETE BLOOD COUNT SEBAGAI PREDIKTOR MORTALITAS PASIEN SEPSIS DI UNIT PERAWATAN INTENSIF RS MOHAMMAD HOESIN PALEMBANG
Bookmark Share

Skripsi

AKURASI PARAMETER COMPLETE BLOOD COUNT SEBAGAI PREDIKTOR MORTALITAS PASIEN SEPSIS DI UNIT PERAWATAN INTENSIF RS MOHAMMAD HOESIN PALEMBANG

Iswara, Rani - Personal Name;

Background: Sepsis is a leading cause of death in intensive care units (ICU), with high mortality rates. As a routine, inexpensive, rapid, and readily accessible test, the complete blood count (CBC) has the potential to predict mortality. This study aimed to analyze the accuracy of CBC parameters as mortality predictors in ICU patients with sepsis. Methods: A retrospective cohort study was conducted using medical records of sepsis patients treated in the ICU of Mohammad Hoesin Hospital Palembang, from January 1, 2022, to December 31, 2024. Consecutive sampling was applied based on predefined inclusion and exclusion criteria. CBC data (NLR, MLR, PLR, RDW, PDW) were collected on days 1, 2, and 3 of ICU care. ROC curve analysis was performed to determine cut-off points, sensitivity, specificity, and accuracy, followed by bivariate analysis. Multivariable regression was used to identify independent predictors of mortality. Results: A total of 198 patients were analyzed; 77 (38.9%) died during ICU stay. In ROC analysis, day-3 PDW showed the best predictive performance for mortality (AUC 0.716; cut-off >12.55; sensitivity 62.3%; specificity 63.6%; LR+ 1.71; LR– 0.59; accuracy 63.1%). Day-2 MLR (AUC 0.622; cut-off ≤0.74; sensitivity 59.74%, specificity 58.68%; LR+ 1.45; LR– 0.69; accuracy 59.09%), day-2 PLR (AUC 0.614; cut-off ≤254.92; sensitivity 59.74%; specificity 58.67%; LR+ 1.44; LR– 0.68; accuracy 59.09%), day-3 PLR (AUC 0.651; cut-off ≤237.35; sensitivity 59.74%; specificity 58.67%; LR+ 1.44; LR– 0.68; accuracy 59.09%), and day-3 RDW (AUC 0.642; cut-off >14.65; sensitivity 59.74%; specificity 60.33%; LR+ 1.51; LR– 0.67; accuracy 60.10%) provided weak discrimination for predicting ICU mortality. Day-3 NLR emerged as an independent predictor of mortality after adjustment (aOR 3.105; CI95% 1.249-7.717; p = 0.015). Conclusion: In ICU patients with sepsis, Among CBC indices, day-3 PDW demonstrated the best discriminative ability for predicting mortality in ICU sepsis patients. Despite a relatively low AUC, day-3 NLR remained an independent predictor of mortality after covariate adjustment. Keywords: sepsis, mortality, complete blood count


Availability
#
Central Library (Reference) T1854112025
T185411
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1854112025
Publisher
Palembang : Program Pendidikan Dokter Spesialis, Fakultas Kedokteran Universitas Sriwijaya., 2025
Collation
viii, 257 hlm.; ilus.; tab.; 29 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
304.640 7
Content Type
Text
Media Type
unmediated
Carrier Type
other (computer)
Edition
-
Subject(s)
Program Pendidikan Dokter Spesialis
Pasien Mortalitas di ICU
Specific Detail Info
-
Statement of Responsibility
MI
Other version/related
TitleEditionLanguage
KARAKTERISTIK MORTALITAS PASIEN SEPSIS YANG DIRAWAT DI RUANG PERAWATAN INTENSIF RSUP DR. MOHAMMAD HOESIN PALEMBANG PERIODE 2018-2019id
PROFIL COMPLETE BLOOD COUNT (CBC) DAN KARAKTERISTIK MIKROBIOLOGI PASIEN SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) ANAK DENGAN INFEKSI BAKTERI TERKONFIRMASIid
File Attachment
  • AKURASI PARAMETER COMPLETE BLOOD COUNT SEBAGAI PREDIKTOR MORTALITAS PASIEN SEPSIS DI UNIT PERAWATAN INTENSIF RS MOHAMMAD HOESIN PALEMBANG
Comments

You must be logged in to post a comment

The Sriwijaya University Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2026 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search
Where do you want to share?