Clinical phenotypes of comorbidities in end-stage knee osteoarthritis: a cluster analysis
Objectives Comorbidities, as components of these heterogeneous features, often coexist with knee osteoarthritis, and are particularly prevalent in end-stage knee osteoarthritis. Here, we attempted to identify the different clinical phenotypes of comorbidities in patients with end-stage knee osteoarthritis by cluster analysis. Methods A total of 421 inpatients diagnosed with end-stage knee osteoarthritis who underwent inpatient surgery were included in this cross-sectional study. 23 demographic, comorbidity, inflammatory immune and evaluation scale variables were collected. Systematic clustering after factor analysis and separate two-step cluster analysis were performed for individual comorbidity variables and all variables, respectively, to objectively identify the different clinical phenotypes of the study patients. Results Four clusters were finally identified. Cluster 1 had the largest proportion of obese patients (93.8%) and hypertension was common (71.2%). Almost all patients in cluster 2 were depressed (95.8%) and anxiety disorders (94.7%). Cluster 3 combined patients with isolated end-stage knee osteoarthritis and a few comorbidities. Cluster 4 had the highest proportion of patients with rheumatoid arthritis (58.8%). Conclusions Patients with end-stage knee osteoarthritis may be classified into four different clinical phenotypes: "isolated end-stage knee osteoarthritis"; "obesity + hypertension"; "depression + anxiety"; and "rheumatoid arthritis", which may help guide individualized patient care and treatment strategies..
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:25 |
|---|---|
| Enthalten in: |
BMC musculoskeletal disorders - 25(2024), 1 vom: 17. Apr. |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Ma, Jun [VerfasserIn] |
|---|
| Links: |
Volltext [kostenfrei] |
|---|
| BKL: | |
|---|---|
| Themen: |
Actor analysis |
| Anmerkungen: |
© The Author(s) 2024 |
|---|
| doi: |
10.1186/s12891-024-07394-1 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
SPR055545408 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR055545408 | ||
| 003 | DE-627 | ||
| 005 | 20240417064729.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240417s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/s12891-024-07394-1 |2 doi | |
| 035 | |a (DE-627)SPR055545408 | ||
| 035 | |a (SPR)s12891-024-07394-1-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 44.00 |2 bkl | ||
| 100 | 1 | |a Ma, Jun |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Clinical phenotypes of comorbidities in end-stage knee osteoarthritis: a cluster analysis |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © The Author(s) 2024 | ||
| 520 | |a Objectives Comorbidities, as components of these heterogeneous features, often coexist with knee osteoarthritis, and are particularly prevalent in end-stage knee osteoarthritis. Here, we attempted to identify the different clinical phenotypes of comorbidities in patients with end-stage knee osteoarthritis by cluster analysis. Methods A total of 421 inpatients diagnosed with end-stage knee osteoarthritis who underwent inpatient surgery were included in this cross-sectional study. 23 demographic, comorbidity, inflammatory immune and evaluation scale variables were collected. Systematic clustering after factor analysis and separate two-step cluster analysis were performed for individual comorbidity variables and all variables, respectively, to objectively identify the different clinical phenotypes of the study patients. Results Four clusters were finally identified. Cluster 1 had the largest proportion of obese patients (93.8%) and hypertension was common (71.2%). Almost all patients in cluster 2 were depressed (95.8%) and anxiety disorders (94.7%). Cluster 3 combined patients with isolated end-stage knee osteoarthritis and a few comorbidities. Cluster 4 had the highest proportion of patients with rheumatoid arthritis (58.8%). Conclusions Patients with end-stage knee osteoarthritis may be classified into four different clinical phenotypes: "isolated end-stage knee osteoarthritis"; "obesity + hypertension"; "depression + anxiety"; and "rheumatoid arthritis", which may help guide individualized patient care and treatment strategies. | ||
| 650 | 4 | |a Osteoarthritis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Actor analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cluster analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Comorbidity |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Phenotypes |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhang, Kai |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Xilong |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Hao |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Chao |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yahui |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Ruiyu |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t BMC musculoskeletal disorders |d BioMed Central, 2000 |g 25(2024), 1 vom: 17. Apr. |w (DE-627)SPR028003829 |w (DE-600)2041355-5 |x 1471-2474 |7 nnns |
| 773 | 1 | 8 | |g volume:25 |g year:2024 |g number:1 |g day:17 |g month:04 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1186/s12891-024-07394-1 |m X:VERLAG |x 0 |z kostenfrei |3 Volltext |
| 912 | |a GBV_SPRINGER | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 44.00 |q VZ |
| 951 | |a AR | ||
| 952 | |d 25 |j 2024 |e 1 |b 17 |c 04 | ||