A Simple Questionnaire as a First-Step Tool to Detect Specific Frailty Profiles: The Lorraine Frailty-Profiling Screening Scale.

OBJECTIVES: To propose a simple frailty screening tool able to identify frailty profiles. DESIGN: Cross-sectional observational study. SETTING: Participants were recruited in 3 different clinical settings: a primary care outpatient clinic (RURAL population, N=591), a geriatric day clinic (DAY-CLINIC population, N=76) and healthy volunteers (URBAN population, N=147). PARTICIPANTS: A total of 817 older adults (>70 years old) living at home were included. INTERVENTION: A 9-item questionnaire (Lorraine Frailty Profiling Screening Scale, LoFProSS), constructed by an experts' working group, was administered to participants by health professionals. MEASUREMENTS: A Multiple Correspondence Analysis (MCA) followed by a hierarchical clustering of the results of the MCA performed in each population was conducted to identify participant profiles based on their answers to LoFProSS. A response pattern algorithm was resultantly identified in the RURAL (main) population and subsequently applied to the URBAN and DAY-CLINIC populations and, in these populations, the two classification methods were compared. Finally, clinically-relevant profiles were generated and compared for their ability to similarly classify subjects. RESULTS: The response pattern differed between the 3 sub-populations for all 9 items, revealing significant intergroup differences (1.2±1.4 positive responses for URBAN vs. 2.1±1.3 for RURAL vs. 3.1±2.1 for DAY-CLINIC, all p<0.05). Five clusters were highlighted in the main RURAL population: "non-frail", "hospitalizations", "physical problems", "social isolation" and "behavioral", with similar clusters highlighted in the remaining two populations. Identification of the response pattern algorithm in the RURAL population yielded a second classification approach, with 83% of tested participants classified in the same cluster using the 2 different approaches. Three clinically-relevant profiles ("non-frail" profile, "physical frailty and diseases" profile and "cognitive-psychological frailty" profile) were subsequently generated from the 5 clusters. A similar double classification approach as above was applied to these 3 profiles revealing a very high percentage (95.6%) of similar profile classifications using both methods. CONCLUSION: The present results demonstrate the ability of LoFProSS to highlight 3 frailty-related profiles, in a consistent manner, among different older populations living at home. Such scale could represent an added value as a simple frailty screening tool for accelerated and better-targeted investigations and interventions.

Quality of life in ankylosing spondylitis: validation of the ankylosing spondylitis Arthritis Impact Measurement Scales 2, a modified Arthritis Impact Measurement Scales Questionnaire.

OBJECTIVE: To develop a questionnaire measuring quality of life in ankylosing spondylitis (AS). METHODS: A focus group technique contributed to the generation of an AS-specific questionnaire using the Arthritis Impact Measurement Scales 2 (AIMS2) (12 dimensions), supplemented with items from the Health Assessment Questionnaire for the Spondylar-thropathies, as well as original new items. Patients from a self-help group provided data to assess the validity (n = 146) and reproducibility (n = 43) of the AS-AIMS2. RESULTS: The focus group generated a thirteenth dimension including 6 items labeled "spine mobility." Principal component analyses on AS-AIMS2 showed satisfactory dimensionality (74.1% of variance explained), high internal consistency (Cronbach's alpha = 0.78-0.91), significant convergent validity of the new dimension with spine pain and mobility, and good reproducibility in the 13 dimensions and 5 components (intraclass correlation coefficient = 0.7-0.9). The scores in each component of the AS-AIMS2 showed a marked deterioration of quality of life in these young patients. CONCLUSIONS: The disease-specific AS-AIMS2 questionnaire should help improve care management in AS.

Is quality of life affected by season and weather conditions in ankylosing spondylitis?

OBJECTIVE: To examine the links between the quality of life (QOL) and season and weather conditions in ankylosing spondylitis (AS) patients. METHODS: A cohort of 146 AS patients (67% males), with a mean age of 47.3 years and a mean disease duration of 12.8 years, answered a self-administered questionnaire, the AS-AIMS2 validated for AS, 4 times over a period of one year in a postal survey. Clinical measures were assessed in a subsample of the cohort. Meterological data including daily temperature, hygrometry, wind speed and atmospheric pressure were collected over the same period. RESULTS: In this cohort, 106 patients completed the follow-up. A higher lumbar spine flexibility (Schober index) was associated with a higher climatic temperature and lower wind speed. Physical QOL improved in the summer, as did Social Interaction in the summer and fall, while Role QOL decreased in winter. A lower perceived QOL was significantly associated with a higher temperature and wind speed over the past 4 weeks, and with a higher hygrometry and atmospheric pressure over the past 2 days prior to completion of the questionnaire. CONCLUSION: This study provides some support to the popular belief and frequent patient complaints of a link between health status and perceived quality of life, as assessed by a specific questionnaire, with season and weather conditions.