Pain, depression and sleep disorders in patients with diabetic and nondiabetic carpal tunnel syndrome: a vicious cycle

Tanık, Nermin; Sarp, Ümit; Uçar, Mehmet; Çelikbilek, Asuman; Balbaloğlu, Özlem; Ak, Hakan; Atalay, Tugay; Arik, Hasan Onur; Okyay, Mehmet Yavuz; İnan, Levent Ertuğrul

doi:10.1590/0004-282x20160020

Cited by 9 publications

(9 citation statements)

References 25 publications

(20 reference statements)

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“…Sleep quality was also subjectively measured by self‐reported questionnaires such as PSQI, and similar findings have been reported. Subjective poor sleep quality was correlated with poorer glycaemic control ( r = .14–.30, p < .05) (Keskin et al., ; Knutson et al., ; Kwan, ; Mahmood et al., ; Tanik et al., ; Tsai et al., ), although the relationship became nonsignificant after adjustment for confounders in two studies (Mahmood et al., ; Osonoi et al., ). People with poor sleep quality had poor glycaemic control ( p < .05) (Lecube et al., ; Nefs et al., ).…”

Section: Resultsmentioning

confidence: 99%

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The relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes: An integrative review

Zhu

Hershberger

Kapella

et al. 2017

Journal of Clinical Nursing

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Aims and objectives To explore and synthesize current research to assess the state of science about the relationship between sleep disturbance and glycemic control in adults with type 2 diabetes (T2DM). Background Sleep disturbance is suggested a risk factor for T2DM. Diabetes alone is a leading cause of death, but when coupled with sleep disturbance poses additional health risks. However, little is known about the relationship between sleep disturbance and glycemic control in people with overt diabetes. Design An integrative review. Methods Whittemore and Knafl's methodology guided this integrative review. Original studies published before Oct. 2016 were identified through systematic searches of seven databases using terms: diabet*; sleep or insomnia; glycem* or glucose or A1C or HbA1c or sugar; and their combinations. The matrix and narrative synthesis were employed to organize and synthesize the findings, respectively. The Crowe Critical Appraisal Tool was used to evaluate the study quality. Results A total of 26 studies were identified; 17 of which reported significant relationships between sleep measures and glycemic control. In 13 studies sleep duration was associated with glycemic control in both linear (n=2) and nonlinear (n=3) relationships, however 8 studies reported no significant relationships. Sleep quality was significantly related to glycemic control in 14 of 22 studies. Nine studies found no relationship between any measure of sleep and glycemic control. Conclusions There is strong evidence supporting the relationship between sleep quality and glycemic control but further examination of the relationship between sleep duration and glycemic control is warranted. Sleep disturbance, particularly impaired sleep quality, could potentially influence glycemic control in adults with T2DM. Relevance to clinical practice Nurses who treat patients with diabetes should include assessment of sleep, education for healthy sleep, and referral for treatment of sleep disturbance in order to maximize the potential for achieving good glycemic control.

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Section: Resultsmentioning

confidence: 99%

“…For instance, one study only recruited participants without neuropathy (Trento et al., ). In contrast, the other study only included those with painful neuropathy (Tanik et al., ). This variation did not make a clear and consistent impact on the findings regarding the relationship between sleep disturbance and glycaemic control.…”

Section: Discussionmentioning

confidence: 99%

The relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes: An integrative review

Zhu

Hershberger

Kapella

et al. 2017

Journal of Clinical Nursing

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“…de Azevedo et al [28] noted that CTS is significantly associated with depression. This association applied to diabetic and non-diabetic patients as reported by the study of Tanik et al [29].…”

Section: Discussionmentioning

confidence: 96%

Are Carpal Tunnel Syndrome and Migraine Related?

Esmael

Gomaa

Hazem

2019

INDJ

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Background: Compression neuropathies have previously been associated with one another. Migraine has not been considered a type of compression neuropathy but, some recent studies found that some types of migraines may be treated by targeted peripheral nerve decompression. So, the association between migraines and carpal tunnel syndrome (CTS), {the most common compression neuropathy} may exists. Objective: The aims of this study are to found whether there is a relationship between carpal tunnel syndrome and migraine, and if so to determine the factors causing this relationship. Methods: The present study is a cross-sectional case control study of 120 patients with CTS in addition to age and sex matched 120 healthy controls. It was conducted at Mansoura University Hospitals, Egypt in the period from July, 2017 through June, 2018. All subjects underwent neurological examination, nerve conduction study of median nerve bilaterally, and evaluation according to headache by the International Headache Society, 2016 criteria. Also, the clinical severity of CTS was assessed and calculation of body mass index (BMI) was done. Evaluation of patients by Boston questionnaire form (BQF) {composed of two parts, Symptom Severity Scale (SSS) and the Functional Status Scale (FSS)}. Lastly, assessment of patients by Beck Depression Inventory (BDI). Results: Patients had significantly higher rates of migraine headache (28.3 %) either alone (17.5 %) or combined with tension headache (10.8 %) when compared to controls. No statistically significant differences were found between the studied groups regarding the frequency of isolated tension headache. However, the total rate of cases with tension headache (n=43) including those in association with migraine is significantly higher in patients when compared to controls. Patients had significantly higher rates of various grades of symptoms severity. All patients but 17 are functionally affected while none of the controls group is affected. Patients had significantly higher rates of borderline and moderate depression when compared to controls. Univariate logistic regression analysis for predictors of migraine headache in the studied patients shows that, older age (P value = 0.0001), female sex (P value = 0.003), being manual worker (P value = 0.005), obesity class 11 (P value = 0.023), very severe functional severity scale (P value = 0.001), borderline and moderate depression (P value = 0.008 and 0.002 respectively) were significant predictors of migraine. Conclusion: There is a significant association between CTS and migraine headache. This association suggests the possibility of a common risk factors for development of migraine headache include older age, female gender, obesity, low functional and high symptoms scores and depressive symptoms.

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“…[15] A study involving 124 CTS hands and using LANSS pain scale did not reveal a significant difference between electrophysiological severity and pain scale findings in neuropathic and non-neuropathic groups. [4] A total of 366 CTS patients with 122 Type 2 DM and 244 nondiabetic patients were studied by Tanik et al [16] To evaluate neuropathic pain in the patients, the Douleur Neuropathique 4 Questions (DN4) scaleand VAS was applied.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Severity of Pain and Electrophysiological Severity Degree in Patients with Carpal Tunnel Syndrome

Alagöz¹

2019

bogazicitip

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Objectives: Carpal tunnel syndrome (CTS) is the most common and best studied of all focal neuropathies. CTS is a clinical syndrome of numbness, tingling, burning, and/or pain associated with localized compression of the median nerve at the wrist. Methods:A total of 49 hands of 32 patients who presented at the electrophysiology laboratory of the clinic due to suspected CTS were prospectively enrolled in the study. The patients were evaluated using the Leeds Assessment of Neuropathic Symptoms and Signs (LANSS) pain scale and a visual analog scale (VAS). The LANSS pain scale is an instrument designed for use in a clinical setting to identify patients whose pain is dominated by neuropathic mechanisms. VAS is a subjective register of pain: On a 100-mm horizontal scale, 0 indicates no pain, while 100 indicates maximum pain. The patients were diagnosed using electrophysiology and grouped as mild, moderate, and severe CTS. LANSS pain scale values above 12 and below 12 were compared according to the severity of CTS. The VAS was applied separately to the right hand and left hand. LANSS and VAS results were compared separately. Results:The LANSS pain scale value was found to be 12 or more in cases of mild and severe CTS. The response to the LANSS question related to discoloration (item 2) was greater in the patients with a LANSS score ≥12 (p=0.008), and similarly, the allodynia (item 6) response was significantly higher in the same group (p=0.010). Except for these 2 items, there was no significant difference between patients with a LANSS score of <12 or ≥12 in terms of the results of the scale. The assessment of the electrophysiological severity of the disease and the VAS score was statistically significant in both the right and left hand (p=0.001, p=0.009). When the LANSS and VAS results were compared, a statistical correlation was identified in the right hand between LANSS discoloration (item 2) (p=0.029) and the total LANSS score (p=0.049). Conclusion:Other than allodynia, the LANSS pain scale did not show any significant correlation with electrophysiological severity in patients with CTS. In the group with a LANSS score of ≥12, the responses to item 2 (discoloration) and item 6 (allodynia) were significantly higher. VAS was statistically more significant for identifying electrophysiological severity. These results indicate that the use of VAS in daily practice is confirmed. Additional studies conducted with more detailed tests and a larger number of patients will enable patient follow-up treatment without the need for repeated electroneuromyography examinations. ÖZETAmaç: Karpal tünel sendromu (KTS) tüm tuzak nöropatilerin en yaygın ve en iyi çalışılanıdır. KTS, median sinirin el bileğinde lokalize kompresyonu ile ilişkili olan uyuşma, karıncalanma, yanma ve/veya ağrıya neden olan klinik bir sendromdur.Yöntem: Çalışmaya prospektif olarak 32 hasta dahil edildi. Bu çalışmada KTS şüphesi nedeniyle elektrofizyoloji

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Pain, depression and sleep disorders in patients with diabetic and nondiabetic carpal tunnel syndrome: a vicious cycle

Cited by 9 publications

References 25 publications

The relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes: An integrative review

The relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes: An integrative review

Are Carpal Tunnel Syndrome and Migraine Related?

Comparison of Severity of Pain and Electrophysiological Severity Degree in Patients with Carpal Tunnel Syndrome

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