No abstract available.
Antibodies* ; Egg Yolk* ; Humans* ; Ovum* ; Rotavirus*

OBJECTIVE: Electrodiagnostic test has shown diagnostic sensitivity and specificity in carpal tunnel syndrome(CTS). This study was to evaluate the correlation between clinical outcome of endoscopic carpal tunnel ligament release(ECTR) and the predictive value of sensory nerve conduction. METHODS: From January 1998 to December 2004, 87 patients (44 right hand, 37 left hand, 6 bilateral hands) with CTS who underwent ECTR were followed up in our hospital for an average of 2.4 months. We retrospectively analyzed the results with previous medical records. All patients underwent electrodiagnostic test and ECTR. The patients were divided into three groups according to the electrodiagnostic test results. Group (A) was normal sensory nerve response, Group (B) was slowing sensory response and Group (C) was no sensory response. Improvement of the symptom after ECTR was assessed using a visual analogue scale(VAS) score. RESULTS: Differences between the three groups on the correlation of severity of sensory potential and duration of preoperative symptoms were significant. The mean value of improved VAS scores for the three groups were 6.0+/-0.96 in the Group A, 6.11+/-0.48 in the Group B and 6.14+/-0.53 in the Group C. There was no statistically significant difference between the severity of sensory nerve response and improvement in VAS score after ECTR. Complications included a wound infection, a case of skin necrosis, and two patients with persistent symptoms without any improvement. CONCLUSION: Although electrodiagnostic test has been known to be useful, sensory nerve response is considered not to be a good prognostic value for carpal tunnel syndrome after ECTR.
Carpal Tunnel Syndrome* ; Hand ; Humans ; Ligaments ; Medical Records ; Necrosis ; Neural Conduction* ; Retrospective Studies ; Sensitivity and Specificity ; Skin ; Wound Infection

BACKGROUND: In the busy primary care setting, there are several limitations in applying Alcohol Use Disorders Identification Test in Korea (AUDIT-K) to screen problem drinking. Thus, for primary healthcare practice, we evaluated AUDIT-C, which covers questions from 1 to 3 in AUDIT-K, and AUDIT-K Question 3 Alone to present cut points for these two screening questionnaire according to AUDIT-K test scores. METHODS: In a university hospital, we surveyed 302 males with a drinking history via self-administered questionnaire including AUDIT-K, from November 2007 to April 2008. On the basis of total score in AUDIT-K, we divided them into four groups: normal, problem drinking, alcohol use disorder, and alcohol dependence. For each alcohol drinking behavior pattern, we drew the receiver operating characteristics (ROC) curves to present cut points for appropriate sensitivity and specificity. In addition, we compared the performance of AUDIT-C and AUDIT-K Question 3 Alone through area under the curve (AUC). RESULTS: For AUDIT-C, we designated the score 8 or more as problem drinking, 9 or more as alcohol use disorder, and 11 or more as dependence. The results of sensitivity/specificity for each group were 82%/76%, 76%/79%, 80%/86%, respectively, which were suitable for screening. For AUDIT-K Question 3 Alone, we defined the score 3 or more as problem drinking or alcohol use disorder and the score 4 as dependence. The results of sensitivity/specificity for each group were 79%/80%, 84%/67%, 85%/77%, which were appropriate for screening. For every drinking behavior group, AUDIT-C was superior to AUDIT-K Question 3 Alone in screening performance (problem drinking: 0.88 vs. respectively 0.85, alcohol use disorder: 0.86 vs. 0.82, alcohol dependence: 0.88 vs. 0.81) CONCLUSION: We confirmed that both AUDIT-C and AUDIT-K Question 3 Alone, which are more convenient and have fewer time con-straints than AUDIT-K, are reasonable screening methods for problem drinking. Thus, we recommend further drinking assessment and proper intervention for male drinkers who have scores 8 or more in AUDIT-C or 3 or more in AUDIT-K Question 3 Alone.
Alcohol Drinking ; Alcoholism ; Drinking ; Drinking Behavior ; Humans ; Korea ; Male ; Mass Screening ; Primary Health Care ; ROC Curve ; Sensitivity and Specificity