APACHE

"APACHE" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

An acronym for Acute Physiology and Chronic Health Evaluation, a scoring system using routinely collected data and providing an accurate, objective description for a broad range of intensive care unit admissions, measuring severity of illness in critically ill patients.

Descriptor ID	D018806
MeSH Number(s)	E05.318.308.980.438.475.365 E05.318.308.980.438.475.456.500.250 N05.715.360.300.800.438.375.364.500.250 N06.850.520.308.980.438.475.364.500.250
Concept/Terms	APACHE APACHE Acute Physiology and Chronic Health Evaluation APACHE II APACHE II APACHE III APACHE III APACHE I APACHE I

Below are MeSH descriptors whose meaning is more general than "APACHE".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Data Collection [E05.318.308]
Surveys and Questionnaires [E05.318.308.980]
Health Surveys [E05.318.308.980.438]
Health Status Indicators [E05.318.308.980.438.475]
APACHE [E05.318.308.980.438.475.365]
Patient Acuity [E05.318.308.980.438.475.456]
Severity of Illness Index [E05.318.308.980.438.475.456.500]
APACHE [E05.318.308.980.438.475.456.500.250]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Data Collection [N05.715.360.300]
Surveys and Questionnaires [N05.715.360.300.800]
Health Surveys [N05.715.360.300.800.438]
Health Status Indicators [N05.715.360.300.800.438.375]
Patient Acuity [N05.715.360.300.800.438.375.364]
Severity of Illness Index [N05.715.360.300.800.438.375.364.500]
APACHE [N05.715.360.300.800.438.375.364.500.250]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Data Collection [N06.850.520.308]
Surveys and Questionnaires [N06.850.520.308.980]
Health Surveys [N06.850.520.308.980.438]
Health Status Indicators [N06.850.520.308.980.438.475]
Patient Acuity [N06.850.520.308.980.438.475.364]
Severity of Illness Index [N06.850.520.308.980.438.475.364.500]
APACHE [N06.850.520.308.980.438.475.364.500.250]

Below are MeSH descriptors whose meaning is related to "APACHE".

Below are MeSH descriptors whose meaning is more specific than "APACHE".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "APACHE" by people in this website by year, and whether "APACHE" was a major or minor topic of these publications.

Bar chart showing 35 publications over 21 distinct years, with a maximum of 4 publications in 2008

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1996	0	1	1
1997	0	1	1
2000	0	1	1
2001	0	1	1
2002	1	2	3
2003	0	1	1
2005	0	1	1
2006	0	1	1
2007	1	0	1
2008	0	4	4
2009	0	1	1
2010	0	3	3
2011	0	3	3
2012	0	1	1
2014	0	3	3
2016	0	2	2
2017	0	1	1
2018	0	1	1
2019	0	3	3
2020	0	1	1
2022	0	1	1

Below are the most recent publications written about "APACHE" by people in Profiles.

Liu X, Armaignac DL, Becker C, Hiddleson C, Dubouchet EM, Rincon T, Amelung PJ, French R, Scurlock C, Atallah L, Badawi O. Improving ICU Risk Predictive Models Through Automation Designed for Resiliency Against Documentation Bias. Crit Care Med. 2023 03 01; 51(3):376-387.

View in: PubMed
Almpani M, Tsurumi A, Peponis T, Dhole YV, Goodfield LF, Tompkins RG, Rahme LG. Denver and Marshall scores successfully predict susceptibility to multiple independent infections in trauma patients. PLoS One. 2020; 15(4):e0232175.

View in: PubMed
Kashiouris MG, Sessler CN, Qayyum R, Velagapudi V, Stefanou C, Kashyap R, Crowley N, Daniels C, Kashani K. Near-simultaneous intensive care unit (ICU) admissions and all-cause mortality: a cohort study. Intensive Care Med. 2019 11; 45(11):1559-1569.

View in: PubMed
White DB, Carson S, Anderson W, Steingrub J, Bird G, Curtis JR, Matthay M, Peterson M, Buddadhumaruk P, Shields AM, Ernecoff N, Shotsberger K, Weissfeld L, Chang CH, Pike F, Lo B, Hough CL. A Multicenter Study of the Causes and Consequences of Optimistic Expectations About Prognosis by Surrogate Decision-Makers in ICUs. Crit Care Med. 2019 09; 47(9):1184-1193.

View in: PubMed
McGee WT, Nathanson BH, Lederman E, Higgins TL. Pressure Injuries at Intensive Care Unit Admission as a Prognostic Indicator of Patient Outcomes. Crit Care Nurse. 2019 Jun; 39(3):44-50.

View in: PubMed
Lilly CM, Aljawadi M, Badawi O, Onukwugha E, Tom SE, Magder LS, Harris I. Comparative Effectiveness of Proton Pump?Inhibitors vs Histamine Type 2 Receptor Blockers for Preventing Clinically Important Gastrointestinal Bleeding During?Intensive?Care: A Population-Based Study. Chest. 2018 09; 154(3):557-566.

View in: PubMed
Civitarese AM, Ruggieri E, Walz JM, Mack DA, Heard SO, Mitchell M, Lilly CM, Landry KE, Ellison RT. A 10-Year Review of Total Hospital-Onset ICU Bloodstream Infections at an Academic Medical Center. Chest. 2017 05; 151(5):1011-1017.

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Lilly CM, Motzkus C, Rincon T, Cody SE, Landry K, Irwin RS. ICU Telemedicine Program Financial Outcomes. Chest. 2017 02; 151(2):286-297.

View in: PubMed
Hawkins HA, Lilly CM, Kaster DA, Groves RH, Khurana H. ICU Telemedicine Comanagement Methods and Length of Stay. Chest. 2016 Aug; 150(2):314-9.

View in: PubMed
Ho KM, Williams TA, Harahsheh Y, Higgins TL. Using patient admission characteristics alone to predict mortality of critically ill patients: A comparison of 3 prognostic scores. J Crit Care. 2016 Feb; 31(1):21-5.

View in: PubMed

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