The New ICU Prognostic Score APACHE-INf

July 13, 2023 updated by: Nizameddin Koca, MD, Bursa City Hospital

Comparison of the New Score (APACHE-INf), Including Inflammatory and Nutritional Parameters, With APACHE-II in the Prognosis of Patients Admitted to ICU

Intensive care units (ICUs) aim to provide specialized care for patients with high morbidity and mortality risks. To effectively identify patients requiring urgent diagnosis and treatment, various scoring systems have been developed, including APACHE-II. However, these systems primarily focus on evaluating organ dysfunction and do not consider the patient's nutritional status or the role of inflammation. Recent studies have highlighted the crucial role of inflammation in patient outcomes, emphasizing the need to incorporate inflammatory parameters into scoring systems for accurate prognosis prediction. Additionally, nutritional status upon ICU admission has been largely overlooked in current scoring systems, despite its significant impact on patient outcomes. Malnourished patients have higher risks of complications, prolonged hospital stays, and increased mortality rates. Adequate nutrition supports immune function, tissue repair, and the response to therapeutic interventions, ultimately minimizing complications. Integrating nutritional assessment into existing scoring systems allows for early identification of malnourished patients and timely interventions, improving overall care quality in the ICU. Considering the importance of inflammation and nutritional status, this study aims to develop a new scoring system by adding inflammatory and nutritional parameters to APACHE II score. This comprehensive approach holds promise for enhancing patient outcomes, accurately evaluating clinical severity, and facilitating immediate interventions in critical care settings.

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

Intensive care units are units where patients with high morbidity and mortality risk are followed up and treated. Risk stratification of patients in intensive care admission is very important in terms of quickly identifying patients who will require urgent diagnosis and treatment. For this reason, many scoring systems have been developed in recent years, and although the most common APACHE-II score is routinely applied in our intensive care units, there is no universally accepted consensus yet. Existing scoring systems predict prognosis mostly by evaluating organ dysfunction. The importance of inflammation and inflammatory response in organ functions has been better understood, especially in the COVID process. Nutritional status upon admission has not been evaluated in the current scoring systems.

Inflammation plays an important role in both regeneration and the fight against microorganisms at the cellular and tissue level. Recent studies have clearly demonstrated the importance of inflammation and inflammatory response in the morbidity and mortality of patients. In this context, there are studies reporting that some prominent inflammatory parameters are associated with morbidity and mortality rates in intensive care patients.

Based on the available evidence, it is evaluated that a scoring system that does not include inflammatory parameters cannot provide an accurate prognosis prediction.

the evaluation of nutritional status upon ICU admission is a vital component of patient care that has been largely overlooked in current scoring systems.

Malnourished patients are at a higher risk of developing complications, prolonged hospital stays, and increased mortality rates compared to well-nourished patients. Adequate nutrition not only supports immune function and tissue repair but also impacts the patient's response to therapeutic interventions and the prevention of complications during their ICU stay. Recognizing the significance of adequate nutrition in critical illness is essential to optimize patient outcomes and minimize complications. By integrating nutritional assessment into existing scoring systems, healthcare providers can identify malnourished patients early, implement timely interventions, and improve the overall quality of care in the ICU. This comprehensive approach holds promise for enhancing patient outcomes, reducing morbidity and mortality rates, and optimizing resource utilization in critical care settings.

Incorporating inflammation and nutritional status evaluation into existing scoring systems can provide a more comprehensive assessment of a patient's overall condition. Therefore, in this study, we aimed to evaluate whether a new scoring system, which will be created by adding inflammatory and nutritional parameters to APACHE II and SOFA scores, will provide a more accurate prognosis prediction.The electronic files of the patients who were followed up in Bursa City Hospital Intensive Care Units between 01.01.2020-31.12.2022 will be scanned retrospectively. Demographic data, clinical and laboratory data detailed below will be recorded in the files. After determining the cut-off points and scoring scale for each of the inflammatory tests at the time of admission obtained from the patient files, the competencies of the new and old scores obtained in prognosis prediction will be compared. By determining the cut-off points for the new scoring, it will be possible to evaluate the clinical severity of the patients more accurately and to carry out the necessary procedures immediately.

Data to be scanned from files:

Demographic data of the patient: Age, height, weight, Glasgow Coma score, APACHE 2 score, SOFA score, Concomitant diseases, Respiratory rate, Fever, Heart rate, SBP, DBP, OABP, Blood gas data: pH, pO2, PCO2, Osmolarity, Lactate, HCO3 Laboratory data: Detailed Hemogram data (WBC, Hgb, Hct, MCV, MPV, RDW, Plt, neutrophil, lymphocyte), Glucose, BUN, Cre, AST, ALT, T.bil, D.bil, Na, K, Ca, Mg, T. Protein, Albumin, Prealbumin, INR, aPTT, Vitamin D, Total cholesterol, LDL, HDL and Triglyseride Inflammation Parameters: Sedimentation, CRP, ferritin, D-dimer, fibrinogen, IL-6, procalcitonin

Study Type

Observational

Enrollment (Estimated)

15000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Nizameddin Koca, MD
  • Phone Number: 05052324063
  • Email: nkoca@yahoo.com

Study Contact Backup

Study Locations

    • Bursa
      • Nilüfer, Bursa, Turkey, 16110
        • Recruiting
        • University of Health Sciences, Bursa Sehir Training & Research Hospital
        • Contact:
        • Principal Investigator:
          • Nizameddin Koca, MD
        • Sub-Investigator:
          • Aysegul Ozkan, MD
        • Sub-Investigator:
          • Nermin Kelebek Girgin, MD
        • Sub-Investigator:
          • Gulbahar Caliskan, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

patients who were admitted to ICU between 2019 and 2023

Description

Inclusion Criteria:

  • ICU admission
  • Age over 18

Exclusion Criteria:

  • Incomplete data
  • Age under 18

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
APACHE-II
To determine the prognosis of patients admitted to ICU with a scoring system that includes inflammation and nutritional status
APACHE-Inf
To determine the prognosis of patients admitted to ICU with a scoring system that includes inflammation and nutritional status

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mortality Prediction
Time Frame: data of the ICU patients from 2019 to 2023 were evaluated
Development with a score system that includes inflammation and nutritional status data in addition to APACHE-II scores would give a chance to evaluate ICU patient's overall status and predict the mortality risk more accurately
data of the ICU patients from 2019 to 2023 were evaluated

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Nizameddin Koca, MD, University of Health Sciences, Bursa Sehir Training & Research Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2023

Primary Completion (Estimated)

July 31, 2023

Study Completion (Estimated)

September 30, 2023

Study Registration Dates

First Submitted

July 13, 2023

First Submitted That Met QC Criteria

July 13, 2023

First Posted (Actual)

July 21, 2023

Study Record Updates

Last Update Posted (Actual)

July 21, 2023

Last Update Submitted That Met QC Criteria

July 13, 2023

Last Verified

July 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

The study would be performed as a multicenter study after single center data evaluation. IPD data would be shared with the participants of multicenter design researchers after the completion of single center study.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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