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Does the Change of Weather Influence Disease Activity in Rheumatoid Arthritis Patients: Patients' Self-Assessment via WebApp.
Poller, Martin; Schulz, Martin M P; Schulze-Koops, Hendrik; Kyburz, Diego; von Kempis, Johannes; Mueller, Ruediger B.
Afiliación
  • Poller M; Department of Rheumatology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland.
  • Schulz MMP; AbbVie AG, 6330 Cham, Switzerland.
  • Schulze-Koops H; Division of Rheumatology and Clinical Immunology, Department of Internal Medicine IV, Ludwig-Maximilians-University Munich, 80336 Munich, Germany.
  • Kyburz D; Department of Rheumatology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland.
  • von Kempis J; Division of Rheumatology and Immunology, Department of Internal Medicine, Kantonsspital St. Gallen, 9000 St. Gallen, Switzerland.
  • Mueller RB; Rheumazentrum Ostschweiz, 9000 St. Gallen, Switzerland.
J Clin Med ; 13(17)2024 Sep 09.
Article en En | MEDLINE | ID: mdl-39274548
ABSTRACT

Objectives:

The aim was to evaluate the influence of weather parameters on disease activity assessed by Routine Assessment of Patient Index Data (RAPID) scores via a Web-based smartphone application (WebApp).

Methods:

Correlation of changes of temperature (change of temperature, °C) and air pressure (change of air pressure, hPa) two days prior to and weekly self-assessment of disease activity by RAPID-3 scores over three months. To define background noise and quadrants of weather changes, we defined a central quadrant ± 2 hPa and ± 2° C, called E1. Based on this inner square, four quadrants were defined A1 = sector left side above with increasing temperature and air pressure (improving weather); B1 = sector right side above; C1 = decreasing temperature and air pressure sector right side down (worsening weather); and D1 = sector left side down. Alterations of RAPID-3 scores analyzed changes in disease activity compared to RAPID-3 scores detected one week in advance.

Results:

Eighty patients were included in the analysis (median RA duration, 4.5 years; age, 57 years; 59% female). Median disease activity was 2.8 as assessed by DAS 28. In total, 210 time points were analyzed for quadrant A1, 164 for quadrant B1, 160 for quadrant C1, 196 for quadrant D1, and 145 for the inner square E1 were found during follow-up. The middle square E1 was balanced between increasing or decreasing values for RAPID scores. The odds for increasing RAPID scores were 1.33 (95% confidence interval CI 1.0-1.78) for patients with ameliorating weather conditions which improve or alleviate unfavorable or adverse conditions (A1) compared to 0.98 (CI 0.67-1.45) for worsening weather (C1) as defined by temperature and air pressure.

Conclusions:

On average, more patients developed a slight increase of disease activity if they were in the quadrant with increasing temperature and air pressure (improving weather). Thus, no correlation between the worsening of the weather and changing RAPID-3 scores was found.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Suiza