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《Journal of the American Medical Directors Association》2020,21(3):439.e9-439.e13
Background/ObjectivesPolypharmacy and multimorbidity is a threat to older people; hence, listing approaches should support physicians to optimize medication. The FORTA (Fit fOR The Aged) classification of drug appropriateness for older people provides positive or negative labels: A (A-bsolutely), B (B-eneficial), C (C-areful), and D (D-on't). Based on these categories, FORTA-labeled drug lists were developed in 7 European countries or regions; the same approach was used to develop a U.S.-FORTA List reflecting the country-specific availability and usage of drugs.Design/SettingA 2-step Delphi-type approach was employed to add, remove, or relabel drugs from the listing proposal and to add or remove new indications. The proposal utilized the European (EURO)-FORTA list as template.ParticipantsEight US-based geriatricians/pharmacists served as raters. Measurements: Raters gave recommendations and comments on the list items.ResultsThe first U.S.-FORTA List contains 273 items aligned to 27 main indication groups; 30 drugs and drug groups were added, and 23 removed as being unavailable in the United States. The highest percentage of changes in FORTA labels as compared to the EURO-FORTA List occurred for sleep disorders associated with dementia (40%). In 8 indications, the labels for 11 items were different from the proposal. Thus, for the majority of the items (n = 232, 95.5%), the proposals were accepted by the US raters. Only 16 (6.6%) of the proposed items (n = 243) had to be re-evaluated in the second round as a result of inconsistent rating in the first round.Conclusions and ImplicationsThe U.S.-FORTA List addresses the appropriateness of drugs for older people in the United States reflecting country-specific availability, usage, and expert rating. As shown for the FORTA list in Europe, this listing approach is among the few that are clinically validated and improve well-being and geriatric outcomes. The U.S.-FORTA List now largely enhances the global availability of this approach. 相似文献
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《Journal of the American Medical Directors Association》2020,21(9):1282-1287.e2
ObjectivesDepressive symptoms are commonly seen among patients with multiple chronic somatic conditions, or somatic multimorbidity (SMM); however, little is known about the relationships between depressive symptoms and different SMM combinations. Our study aimed to delineate the patterns of SMM and their longitudinal associations with depressive symptoms among a nationally representative sample of middle-aged and older Chinese adults.DesignWe employed a longitudinal design.Setting and ParticipantsOlder adults (N = 10,084) aged ≥45 years from the China Health and Retirement Longitudinal Study 2011-2015 participated (mean age = 57.7 years at baseline; 53.3% men).MethodsSixteen chronic somatic conditions were ascertained at baseline via questionnaires. Depression was assessed with the Center for Epidemiological Studies Depression Scale at baseline and during follow-up. Patterns of SMM were identified via exploratory factor analyses. Generalized estimating equations were used to evaluate the longitudinal associations between patterns of SMM and the presence of depressive symptoms at follow-up.ResultsCompared with participants with no somatic condition, those with 1, 2, and 3 or more somatic conditions had a 21%, 66%, and 111% greater risk, respectively, for the presence of depressive symptoms. Increased factor scores for 4 patterns identified, cardio-metabolic pattern [adjusted odds ratio (AOR) 1.12, 95% confidence interval (CI) 1.06, 1.20], respiratory pattern (AOR 1.25, 95% CI 1.17, 1.33), arthritic-digestive-visual pattern (AOR 1.29, 95% CI 1.22, 1.37), and hepatic-renal-skeletal pattern (AOR 1.09, 95% CI 1.02, 1.16), were all associated with a higher risk of having depressive symptoms.Conclusions and ImplicationsAll SMM patterns were independently associated with depression among middle-aged and older Chinese adults, with greater odds for people with comorbid arthritic-digestive-visual conditions and respiratory conditions. Clinical practitioners should treat the middle-aged and older population under a multiple-condition framework combining SMM and mental disorders. 相似文献
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Asal Milhem Hanifa J. Abu ToamihAtamni Luna Karkar Yael HouriHaddad Fuad A. Iraqi 《动物模型与实验医学(英文)》2021,4(1):27
BackgroundMultimorbidity of intestinal cancer (IC), type 2 diabetes (T2D) and obesity is a complex set of diseases, affected by environmental and genetic risk factors. High‐fat diet (HFD) and oral bacterial infection play important roles in the etiology of these diseases through inflammation and various biological mechanisms.MethodsTo study the complexity of this multimorbidity, we used the collaborative cross (CC) mouse genetics reference population. We aimed to study the multimorbidity of IC, T2D, and obesity using CC lines, measuring their responses to HFD and oral bacterial infection. The study used 63 mice of both sexes generated from two CC lines (IL557 and IL711). For 12 weeks, experimental mice were maintained on specific dietary regimes combined with co‐infection with oral bacteria Porphyromonas gingivalis and Fusobacterium nucleatum, while control groups were not infected. Body weight (BW) and results of a intraperitoneal glucose tolerance test (IPGTT) were recorded at the end of 12 weeks, after which length and size of the intestines were assessed for polyp counts.ResultsPolyp counts ranged between 2 and 10 per CC line. The combination of HFD and infection significantly reduced (P < .01) the colon polyp size of IL557 females to 2.5 cm2, compared to the other groups. Comparing BW gain, IL557 males on HFD gained 18 g, while the females gained 10 g under the same conditions and showed the highest area under curve (AUC) values of 40 000‐45 000 (min mg/dL) in the IPGTT.ConclusionThe results show that mice from different genetic backgrounds respond differently to a high fat diet and oral infection in terms of polyp development and glucose tolerance, and this effect is gender related. 相似文献
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Erwin P. Klein Woolthuis Wim J. C. de Grauw Susanne M. van Keeken Reinier P. Akkermans Eloy H. van de Lisdonk Job F. M. Metsemakers Chris van Weel 《Annals of family medicine》2013,11(1):20-27
PURPOSE
Screening guidelines for type 2 diabetes recommend targeting high-risk individuals. Our objective was to assess whether diagnosis of type 2 diabetes based on opportunistic targeted screening results in lower vascular event rates compared with diagnosis on the basis of clinical signs or symptoms.METHODS
In a prospective, nonrandomized, observational study, we enrolled patients aged 45 to 75 years from 10 family practices in the Netherlands with a new diagnosis of type 2 diabetes, detected either by (1) opportunistic targeted screening (n = 359) or (2) clinical signs or symptoms (n = 206). Patients in both groups received the same guideline-concordant diabetes care. The main group outcome measure was a composite of death from cardiovascular disease (CVD), nonfatal myocardial infarction, and nonfatal stroke.RESULTS
Baseline vascular disease was more prevalent in the opportunistic targeted screening group, mainly ischemic heart disease (12.3% vs 3.9%, P = .001) and nephropathy (16.9% vs 7.1%, P = .002). After a mean follow-up of 7.7 years (SD = 2.4 years) and 7.1 years (SD = 2.7 years) for the opportunistic targeted screening and clinical diagnosis groups, respectively, composite primary event rates did not differ significantly between the 2 groups (9.5% vs 10.2%, P = .78; adjusted hazard ratio 0.67, 95% confidence interval, 0.36–1.25; P = .21). There were also no significant differences in the separate event rates of deaths from CVD, nonfatal myocardial infarction, and nonfatal strokes.CONCLUSIONS
Opportunistic targeted screening for type 2 diabetes detected patients with higher CVD morbidity at baseline when compared with clinical diagnosis but showed similar CVD mortality and major CVD morbidity after 7.7 years. Opportunistic targeted screening and guided care appears to improve vascular outcomes in type 2 diabetes in primary care. 相似文献18.
Tom Brett Diane Elizabeth Arnold-Reed Aurora Popescu Bishoy Soliman Max Kishor Bulsara Hilary Fine Geoff Bovell Robert George Moorhead 《Annals of family medicine》2013,11(6):535-542
PURPOSE
Multiple chronic conditions in a single patient can be a challenging health burden. We aimed to examine patterns and prevalence of multimorbidity among patients attending 2 large Australian primary care practices and to estimate disease severity burden using the Cumulative Illness Rating Scale (CIRS).METHODS
Using published CIRS guidelines and a disease severity index calculated for each individual, we extracted data from the medical records of all 7,247 patients (58.5% female) seen over 6 months in 2008 who were rated for chronic conditions across 14 anatomical domains.RESULTS
Fifty-two percent of patients had multimorbidity in 2 or more CIRS domains, ranging from 20.6% if younger than 25 years, 43.7% if aged 25 to 44 years, 75.5% if aged 45 to 64 years, 87.5% if aged 65 to 74 years, and 97.1% if aged 75 years and older. Using a cutoff of 3 or more CIRS domains, 34.5% had multimorbidity ranging from 4.8% if younger than 25 years, 22.3% if aged 25 to 44 years, 56.1% if aged 45 to 64 years, 74.6% if aged 65 to 74 years, and 92.0% if aged 75 years and older. Musculoskeletal, singularly or in combination with others, was the commonest morbidity domain. The moderate severity index category increased with increasing age.CONCLUSIONS
Multimorbidity is a significant problem in men and women across all age-groups, and the moderate severity index increases with age. The musculoskeletal domain was most commonly affected. Mild and moderate severity index categories may underrepresent disease burden. Severity burden assessment in the primary care setting needs to take into account the severity index, as well as levels of domain severity within the index categories. 相似文献19.
Christiane Muth Martin Beyer Martin Fortin Justine Rochon Frank Oswald Jose M. Valderas 《The European journal of general practice》2014,20(2):139-147
Older patients, suffering from numerous diseases and taking multiple medications are the rule rather than the exception in primary care. A manifold of medical conditions are often associated with poor outcomes, and their multiple medications raise additional risks of polypharmacy. Such patients account for most healthcare expenditures. Effective approaches are needed to manage such complex patients in primary care. This paper describes the results of a scoping exercise, including a two-day workshop with 17 professionals from six countries, experienced in general practice and primary care research as well as epidemiology, clinical pharmacology, gerontology and methodology. This was followed by a consensus process investigating the challenges and core questions for multimorbidity research in primary care from a clinical perspective and presents examples of the best research practice. Current approaches in measuring and clustering multimorbidity inform policy-makers and researchers, but research is needed to provide support in clinical decision making. Multimorbidity presents a complexity of conditions leading to individual patient's needs and demanding complex processes in clinical decision making. The identification of patterns presupposes the development of strategies on how to manage multimorbidity and polypharmacy. Interventions have to be complex and multifaceted, and their evaluation poses numerous methodological challenges in study design, outcome measurement and analysis. Overall, it can be seen that complexity is a main underlying theme. Moreover, flexible study designs, outcome parameters and evaluation strategies are needed to account for this complexity. 相似文献
20.
Miquel À. Mas Sebastià J. Santaeugènia Francisco J. Tarazona-Santabalbina Sara Gámez Marco Inzitari 《Journal of the American Medical Directors Association》2018,19(10):860-863