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The population comparison index: an intuitive measure to calibrate the extent of impairments in patient cohorts in relation to healthy and diseased populations
Please always quote using this URN: urn:nbn:de:bvb:20-opus-304933
- We assume that a specific health constraint, e.g., a certain aspect of bodily function or quality of life that is measured by a variable X, is absent (or irrelevant) in a healthy reference population (Ref0), and it is materially present and precisely measured in a diseased reference population (Ref1). We further assume that some amount of this constraint of interest is suspected to be present in a population under study (SP). In order to quantify this issue, we propose the introduction of an intuitive measure, the population comparison indexWe assume that a specific health constraint, e.g., a certain aspect of bodily function or quality of life that is measured by a variable X, is absent (or irrelevant) in a healthy reference population (Ref0), and it is materially present and precisely measured in a diseased reference population (Ref1). We further assume that some amount of this constraint of interest is suspected to be present in a population under study (SP). In order to quantify this issue, we propose the introduction of an intuitive measure, the population comparison index (PCI), that relates the mean value of X in population SP to the mean values of X in populations Ref0 and Ref1. This measure is defined as PCI[X] = (mean[X|SP] − mean[X|Ref0])/(mean[X|Ref1] − mean[X|Ref0]) × 100[%], where mean[X|.] is the average value of X in the respective group of individuals. For interpretation, PCI[X] ≈ 0 indicates that the values of X in the population SP are similar to those in population Ref0, and hence, the impairment measured by X is not materially present in the individuals in population SP. On the other hand, PCI[X] ≈ 100 means that the individuals in SP exhibit values of X comparable to those occurring in Ref1, i.e., the constraint of interest is equally present in populations SP and Ref1. A value of 0 < PCI[X] < 100 indicates that a certain percentage of the constraint is present in SP, and it is more than in Ref0 but less than in Ref1. A value of PCI[X] > 100 means that population SP is even more affected by the constraint than population Ref1.…
Author: | Götz Gelbrich, Caroline Morbach, Timo Deutschbein, Martin Fassnacht, Stefan Störk, Peter U. Heuschmann |
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URN: | urn:nbn:de:bvb:20-opus-304933 |
Document Type: | Journal article |
Faculties: | Medizinische Fakultät / Medizinische Klinik und Poliklinik I |
Medizinische Fakultät / Medizinische Klinik und Poliklinik II | |
Medizinische Fakultät / Institut für Klinische Epidemiologie und Biometrie | |
Medizinische Fakultät / Deutsches Zentrum für Herzinsuffizienz (DZHI) | |
Language: | English |
Parent Title (English): | International Journal of Environmental Research and Public Health |
ISSN: | 1660-4601 |
Year of Completion: | 2023 |
Volume: | 20 |
Issue: | 3 |
Article Number: | 2168 |
Source: | International Journal of Environmental Research and Public Health (2023) 20:3, 2168. https://doi.org/10.3390/ijerph20032168 |
DOI: | https://doi.org/10.3390/ijerph20032168 |
Sonstige beteiligte Institutionen: | Klinische Studienzentrale (Universitätsklinikum) |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Tag: | comparability; disease score; disease severity; normal values; reference data |
Release Date: | 2024/01/26 |
Date of first Publication: | 2023/01/25 |
Licence (German): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |