Epidemiology and diagnostic process of amyotrophic lateral sclerosis as distinct from myelopathy: 5-year cohort study of whole-population in South Korea.

OBJECTIVE: To investigate the incidence, prevalence, and demographic factors of all amyotrophic lateral sclerosis (ALS) patients diagnosed in South Korea from 2011 to 2015, and to analyze cases misdiagnosed as myelopathy. METHODS: The whole population registered under the Korean National Health Insurance Service (KNHIS) was applied. All 4551 patients who were registered as having ALS code from 2011 to 2015 were included. For all ALS patients, the incidence, prevalence, and demographic factors were assessed. Trends of diagnosis for myelopathy, and surgery prior to confirmation of ALS diagnosis were identified. RESULTS: When the whole 48,135,715 KNHIS population enrolled in 2015, the incidence of ALS in 2015 was estimated to be 1.68 per 100,000 person-years, and the prevalence was 6.49 per 100,000 persons. Life expectancy of ALS can be calculated as 3.9 years after the diagnosis, and the mean age of diagnosis was 59.5 ± 13.1. A total of 1902 patients diagnosed with myelopathy before a diagnosis of ALS accounted for 0.13% of all myelopathy patients, and 41.8% of all ALS patients. It took an average of 471.7 d to confirm a diagnosis of ALS after the myelopathy diagnosis. Among the patients finally diagnosed with ALS, more patients underwent surgery for myelopathy (n = 263, 13.8%) than among patients who were diagnosed with myelopathy alone, and underwent surgery (n = 141,148, 9.8%). CONCLUSIONS: This whole-population nationwide demographic study confirmed the data from previous studies. Clinicians should consider the possibility of ALS when making a myelopathy diagnosis, especially if the symptoms are sufficiently severe to require surgery.

The development and implementation of stroke risk prediction model in National Health Insurance Service's personal health record.

BACKGROUND AND OBJECTIVE: The purpose of this study was to build a 10-year stroke prediction model and categorize a probability of stroke using the Korean national health examination data. Then it intended to develop the algorithm to provide a personalized warning on the basis of each user's level of stroke risk and a lifestyle correction message about the stroke risk factors. METHODS: Subject to national health examinees in 2002-2003, the stroke prediction model identified when stroke was first diagnosed by following-up the cohort until 2013 and estimated a 10-year probability of stroke. It sorted the user's individual probability of stroke into five categories - normal, slightly high, high, risky, very risky, according to the five ranges of average probability of stroke in comparison to total population - less than 50 percentile, 50-70, 70-90, 90-99.9, more than 99.9 percentile, and constructed the personalized warning and lifestyle correction messages by each category. RESULTS: Risk factors in stroke risk model include the age, BMI, cholesterol, hypertension, diabetes, smoking status and intensity, physical activity, alcohol drinking, past history (hypertension, coronary heart disease) and family history (stroke, coronary heart disease). The AUC values of stroke risk prediction model from the external validation data set were 0.83 in men and 0.82 in women, which showed a high predictive power. The probability of stroke within 10 years for men in normal group (less than 50 percentile) was less than 3.92% and those in very risky group (top 0.01 percentile) was 66.2% and over. The women's probability of stroke within 10 years was less than 3.77% in normal group (less than 50 percentile) and 55.24% and over in very risky group. CONCLUSIONS: This study developed the stroke risk prediction model and the personalized warning and the lifestyle correction message based on the national health examination data and uploaded them to the personal health record service called My Health Bank in the health information website - Health iN. By doing so, it urged medical users to strengthen the motivation of health management and induced changes in their health behaviors.

Persistent human papillomavirus DNA is associated with local recurrence after radiotherapy of uterine cervical cancer.

Human papillomavirus (HPV) DNA is considered as a hallmark of cervical cancer. We investigated whether persistent HPV DNA at the cervix is associated with local recurrence after radiotherapy in patients with locally advanced cervical cancer. A total of 156 patients with HPV-positive cervical cancer (International Federation of Gynecology and Obstetrics stage IB-IVB) treated with radiotherapy between July 2003 and December 2006 were analyzed. HPV DNA was measured prior to radiotherapy and after completion of radiotherapy. The results of HPV DNA test at postradiotherapy 1, 3, 6 and 12 months were analyzed individually for association with local recurrence-free survival (LRFS). In addition, the result of any last follow-up HPV test within 24 months postradiotherapy was defined as the overall status of HPV at 24 months and was also analyzed for association with LRFS. HPV DNA was cleared in 127 patients (81.4%) and persistent in 29 patients (18.6%) by 24 months. In 18 patients with local recurrences, 14 patients (78%) showed positive HPV tests at 1-3 months. Among the various time points analyzed, a positive HPV test at 3 months was the most accurate predictor of local recurrence. Multivariate analysis indicated that overall status of HPV at 24 months, low HPV viral load and histologic grade as being significantly related to poor LRFS. In HPV-positive cervical carcinoma treated primarily with radiotherapy, persistent HPV DNA within 24 months after treatment indicates a high risk of local recurrence. Diagnostic accuracy of HPV test was highest at 3 months.

Dosimetric parameters that predict late rectal complications after curative radiotherapy in patients with uterine cervical carcinoma.

BACKGROUND: Late rectal complication (LRC) was a major late complication in patients with uterine cervical carcinoma who were treated with a combination of external beam radiotherapy (EBRT) and high-dose-rate intracavitary irradiation (HDR-ICR). For the current study, the authors retrospectively evaluated dosimetric parameters that were correlated with LRC > or = Grade 2 in patients with uterine cervical carcinoma who were treated with curative radiotherapy, and they analyzed the appropriate dose estimates to the rectum that were predictive for LRC > or = Grade 2. METHODS: Between July 1994 and September 2002, 157 patients who were diagnosed with Stage IB-IIIB cervical carcinoma and were treated with definitive radiotherapy were included. EBRT (41.4-66 grays [Gy] in 23-33 fractions) to the whole pelvis was delivered to all patients, with midline shielding performed after a 36-50.4 Gy external dose. HDR-ICR (21-39 Gy in 6-13 fractions to Point A) was administered at a rate of 2 fractions weekly after midline shielding of EBRT. LRC was scored using Radiation Therapy Oncology Group criteria. The total biologically effective dose (BED) at specific points, such as Point A (BED(Point A)), rectal point (BED(RP)), and maximal rectal point (BED(MP)), was determined by a summation of the EBRT and HDR-ICR components, in which the alpha/beta ratio was set to 3. Analyzed parameters included patient age, tumor size, stage, concurrent chemotherapy, ICR fraction size, RP ratio (dose at the rectal point according to the Point A dose), MP ratio (dose at the maximal rectal point according to the Point A dose), EBRT dose, BED(Point A), BED(RP), and BED(MP). RESULTS: The 5-year actuarial overall rate of LRC > or = Grade 2 in all patients was 18.4%. Univariate analysis showed that the RP ratio, MP ratio, EBRT dose, BED(Point A), BED(RP), and BED(MP) were correlated with LRC > or = Grade 2 (P < 0.05). Multivariate analysis showed that, of all clinical and dosimetric parameters evaluated, only BED(RP) was correlated with LRC > or = Grade 2 (P = 0.009). The 5-year actuarial rate of LRC > or = Grade 2 was 5.4% in patients with a BED(RP) < 125 Gy(3) and 36.1% in patients with a BED(RP) > or = 125 Gy(3) (P < 0.001). CONCLUSIONS: BED(RP) was a useful dosimetric parameter for predicting the risk of LRC > or = Grade 2 and should be limited to < 125 Gy(3) whenever possible to minimize the risk of LRC > or = Grade 2 in patients with uterine cervical carcinoma who are treated with a combination of EBRT and HDR-ICR. Cancer 2005.