2017
DOI: 10.1016/j.jclinane.2017.03.027
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Complex regional pain syndrome type 1 predictors — Epidemiological perspective from a national database analysis

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Cited by 39 publications
(31 citation statements)
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“…In a more recent study from the US, the diagnosis of CRPS emerged at a rate of 70 per 100,000 hospital discharges over a 4-year period. 10 The most likely causes for those variations ( Table 3) are differences in the type of source data and the methods of case ascertainment. Indeed, in a literature search aiming to assess the use of the IASP criteria, only 38% of the publications mentioned the application of the criteria and only 15% of the referenced publications satisfied them.…”
Section: Epidemiologymentioning
confidence: 99%
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“…In a more recent study from the US, the diagnosis of CRPS emerged at a rate of 70 per 100,000 hospital discharges over a 4-year period. 10 The most likely causes for those variations ( Table 3) are differences in the type of source data and the methods of case ascertainment. Indeed, in a literature search aiming to assess the use of the IASP criteria, only 38% of the publications mentioned the application of the criteria and only 15% of the referenced publications satisfied them.…”
Section: Epidemiologymentioning
confidence: 99%
“…Various comorbidities also seem to affect the occurrence of CRPS, including depression, headache and drug abuse. 10 In a prospective study by Bean et al investigating how psychological factors influence the recovery of patients with CRPS, it was concluded that anxiety, pain-related fear and disability have a negative effect, thus implicating psychological parameters for poorer recovery. 12 In contrast, some diseases do not appear to associate with the syndrome, such as diabetes, anemia, obesity and hypothyroidism.…”
Section: Epidemiologymentioning
confidence: 99%
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“…Among population and cohort studies, evidence existed on the impact of sociodemographic characteristics, with females [26][27][28][29][30][31][32][33] and older people [6,27,28,31,32,34] reporting higher pain rates or severity. Also, people with lower education level and those unemployed had higher pain rates [35,36], but contrasting results were found with reference to socioeconomic position: in fact, Chen and colleagues found that people with a lower socioeconomic class had a more severe trajectory with regard to low back pain severity and persistence [37], whereas Elsharydah and colleagues found that higher median household income was associated with higher rate of complex regional pain syndrome type 1 [30]. Evidence was also found on the impact of some mental health problems and symptoms on pain rates and severity, including sleep problems [6,27,34,38,39], depressed mood or anxiety [26, 28-30, 34, 35, 39, 40], cognitive complaints [34] and fatigue or lack of energy [38].…”
Section: Introductionmentioning
confidence: 99%
“…Evidence was also found on the impact of some mental health problems and symptoms on pain rates and severity, including sleep problems [6,27,34,38,39], depressed mood or anxiety [26, 28-30, 34, 35, 39, 40], cognitive complaints [34] and fatigue or lack of energy [38]. Other health status variables that were found to be associated with higher pain rates and severity included the presence of comorbidities and multimorbidity status [6,26,30,35,39,41] and, among single heath conditions, diabetes and stroke [30,42,43]: of course, presence of conditions whose cardinal symptom is pain, such as headaches, musculoskeletal conditions or angina, is clearly acknowledged to impact on pain. Finally, a set of risk and protective lifestyle factors were also identified.…”
Section: Introductionmentioning
confidence: 99%