OBJECTIVES: The present study was conducted in order to examine the association between socioeconomic status (SES) and osteoporosis prevalence in Korea and to assess whether different associations are found in single-person households. METHODS: A cross-sectional population-based study was conducted using the Korea National Health and Nutrition Examination Survey, from 2008 to 2011. The study subjects were people aged > or = 50 years with osteoporosis as defined by bone mineral density. Multivariate logistic models were used to estimate prevalence odds ratios (pORs) and 95% confidence intervals (CIs). Gender differences in the likelihood of osteoporosis were analyzed based on household income, education level, and residential area. RESULTS: There were 8221 osteoporosis patients aged > or = 50 years, of whom 927 lived in single-person households. There was a gender-specific association between osteoporosis prevalence and all three SES factors that we analyzed: income, education, and residential area. After adjusting for age, SES, and health behaviors, including body mass index (BMI), low household income was only significantly associated with osteoporosis in men, whereas education level had an inverse relationship with osteoporosis only in women (p=0.01, p<0.001, respectively). However, after controlling for age and BMI, rural residency was only associated with osteoporosis in women living in single-person households (pOR, 1.59; 95% CI, 1.05 to 2.43). CONCLUSIONS: The Korean adult population showed a gender-specific relationship between SES and osteoporosis prevalence, with a different pattern found in single-person households.
Aged ; Asian Continental Ancestry Group ; Body Mass Index ; Bone Density ; Cross-Sectional Studies ; Female ; Humans ; Income ; Logistic Models ; Male ; Middle Aged ; Nutrition Surveys ; Odds Ratio ; Osteoporosis/*epidemiology ; Prevalence ; Republic of Korea/epidemiology ; Risk Factors ; *Social Class ; *Socioeconomic Factors

PURPOSE: A high risk of cardiovascular disease (CVD) is reported for HIV-infected individuals. While a link between abacavir and CVD risk is suggested, an association between abacavir and hypertension remains unclear. This study evaluated hypertension risk with abacavir use in comparison to non-abacavir antiretroviral treatment (ART). MATERIALS AND METHODS: From a nationwide cohort of HIV-infected individuals on their initial ART, 6493 who were free of hypertension at baseline were analyzed. The use of ART was treated as a time-varying covariate measured as a daily unit. Incidence rate of hypertension was calculated, and Cox proportional hazard models were used to estimate adjusted hazard ratios (HRs) with 95% confidence interval (CI) of incident hypertension overall and among subgroups. RESULTS: From the 6493 participants, 24072 person-years (PY) of follow-up were contributed during 2008–2016. The incidence rates of hypertension were 4.6 and 3.6 per 100 PY for abacavir and non-abacavir ART users, respectively. The population attributable fraction of abacavir use on hypertension was 12%. Abacavir exposure did not elevate the risk of hypertension among overall study population [HR, 1.2 (95% CI, 1.0–1.4), p=0.061]. However, those with poor ART adherence, defined as a medication possession ratio < 50% [HR, 1.9 (95% CI, 1.5–2.4), p < 0.0001] or requiring prophylactic antibiotics [HR, 1.2 (95% CI, 1.0–1.3), p=0.023], were at risk of hypertension induced by abacavir, as were men, individuals aged ≥40 years, and patients visiting tertiary hospitals in urban areas. CONCLUSION: When present, poor ART adherence, requiring prophylactic antibiotics, male sex, and older age may warrant additional concern for hypertension in patients treated with abacavir.
Anti-Bacterial Agents ; Cardiovascular Diseases ; Cohort Studies* ; Epidemiology ; Follow-Up Studies ; HIV ; Humans ; Hypertension* ; Incidence ; Male ; Proportional Hazards Models ; Tertiary Care Centers

We conducted pharmacovigilance data mining for a β-lactam antibiotics, amoxicillin, and compare the adverse events (AEs) with the drug labels of 9 countries including Korea, USA, UK, Japan, Germany, Swiss, Italy, France, and Laos. We used the Korea Adverse Event Reporting System (KAERS) database, a nationwide database of AE reports, between December 1988 and June 2014. Frequentist and Bayesian methods were used to calculate disproportionality distribution of drug-AE pairs. The AE which was detected by all the three indices of proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC) was defined as a signal. The KAERS database contained a total of 807,582 AE reports, among which 1,722 reports were attributed to amoxicillin. Among the 192,510 antibiotics-AE pairs, the number of amoxicillin-AE pairs was 2,913. Among 241 AEs, 52 adverse events were detected as amoxicillin signals. Comparing the drug labels of 9 countries, 12 adverse events including ineffective medicine, bronchitis, rhinitis, sinusitis, dry mouth, gastroesophageal reflux, hypercholesterolemia, gastric carcinoma, abnormal crying, induration, pulmonary carcinoma, and influenza-like symptoms were not listed on any of the labels of nine countries. In conclusion, we detected 12 new signals of amoxicillin which were not listed on the labels of 9 countries. Therefore, it should be followed by signal evaluation including causal association, clinical significance, and preventability.
Amoxicillin* ; Anti-Bacterial Agents ; Bayes Theorem ; Bronchitis ; Crying ; Data Mining ; Drug-Related Side Effects and Adverse Reactions* ; France ; Gastroesophageal Reflux ; Germany ; Hypercholesterolemia ; Italy ; Japan ; Korea* ; Laos ; Mouth ; Odds Ratio ; Patient Safety ; Pharmacovigilance ; Rhinitis ; Sinusitis

PURPOSE: To detect signals of adverse drug events after imipenem treatment using the Korea Institute of Drug Safety & Risk Management-Korea adverse event reporting system database (KIDS-KD). MATERIALS AND METHODS: We performed data mining using KIDS-KD, which was constructed using spontaneously reported adverse event (AE) reports between December 1988 and June 2014. We detected signals calculated the proportional reporting ratio, reporting odds ratio, and information component of imipenem. We defined a signal as any AE that satisfied all three indices. The signals were compared with drug labels of nine countries. RESULTS: There were 807582 spontaneous AEs reports in the KIDS-KD. Among those, the number of antibiotics related AEs was 192510; 3382 reports were associated with imipenem. The most common imipenem-associated AE was the drug eruption; 353 times. We calculated the signal by comparing with all other antibiotics and drugs; 58 and 53 signals satisfied the three methods. We compared the drug labelling information of nine countries, including the USA, the UK, Japan, Italy, Switzerland, Germany, France, Canada, and South Korea, and discovered that the following signals were currently not included in drug labels: hypokalemia, cardiac arrest, cardiac failure, Parkinson's syndrome, myocardial infarction, and prostate enlargement. Hypokalemia was an additional signal compared with all other antibiotics, and the other signals were not different compared with all other antibiotics and all other drugs. CONCLUSION: We detected new signals that were not listed on the drug labels of nine countries. However, further pharmacoepidemiologic research is needed to evaluate the causality of these signals.
Anti-Bacterial Agents ; Canada ; Data Mining ; Drug Eruptions ; Drug Labeling ; Drug-Related Side Effects and Adverse Reactions ; France ; Germany ; Heart Arrest ; Heart Failure ; Hypokalemia ; Imipenem* ; Italy ; Japan ; Korea* ; Myocardial Infarction ; Odds Ratio ; Pharmacoepidemiology ; Pharmacovigilance ; Prostate ; Switzerland

Turner syndrome has multiple comorbidities such as osteoporosis, obesity, diabetes, hypothyroidism, and hypertension. As they are treatable conditions in Turner syndrome, early recognition and proper treatment should be needed. We report on a 23-year-old woman with Turner syndrome who presented with severe osteoporosis and hypercalcemia. Laboratory tests showed elevated levels of serum calcium and parathyroid hormone. Dual-energy X-ray absorptiometry showed severe osteopo-rosis (z score, -3.5). Ultrasound and 99mTc scintigraphy of parathyroid glands showed an adenoma in the right inferior gland. She was diagnosed with primary hyperparathyroidism due to an adenoma of the parathyroid gland. After excision of the adenoma, the patient's serum calcium and parathyroid hormone levels returned to normal. Although only a few cases of Turners syndrome with primary hyperparathyroidism have been reported, hyperparathyroidism should be considered in cases of Turner syndrome with severe osteoporosis and hypercalcemia.
Absorptiometry, Photon ; Adenoma ; Calcium ; Comorbidity ; Female ; Humans ; Hypercalcemia ; Hyperparathyroidism ; Hyperparathyroidism, Primary ; Hypertension ; Hypothyroidism ; Obesity ; Osteoporosis ; Parathyroid Glands ; Parathyroid Hormone ; Turner Syndrome

Turner syndrome has multiple comorbidities such as osteoporosis, obesity, diabetes, hypothyroidism, and hypertension. As they are treatable conditions in Turner syndrome, early recognition and proper treatment should be needed. We report on a 23-year-old woman with Turner syndrome who presented with severe osteoporosis and hypercalcemia. Laboratory tests showed elevated levels of serum calcium and parathyroid hormone. Dual-energy X-ray absorptiometry showed severe osteopo-rosis (z score, -3.5). Ultrasound and 99mTc scintigraphy of parathyroid glands showed an adenoma in the right inferior gland. She was diagnosed with primary hyperparathyroidism due to an adenoma of the parathyroid gland. After excision of the adenoma, the patient's serum calcium and parathyroid hormone levels returned to normal. Although only a few cases of Turners syndrome with primary hyperparathyroidism have been reported, hyperparathyroidism should be considered in cases of Turner syndrome with severe osteoporosis and hypercalcemia.
Absorptiometry, Photon ; Adenoma ; Calcium ; Comorbidity ; Female ; Humans ; Hypercalcemia ; Hyperparathyroidism ; Hyperparathyroidism, Primary ; Hypertension ; Hypothyroidism ; Obesity ; Osteoporosis ; Parathyroid Glands ; Parathyroid Hormone ; Turner Syndrome

Objective: We conducted this study to address the incidence and prevalence of schizophrenia and similar psychosis in South Korea with Health Insurance Review and Assessment (HIRA) database. Methods: We used HIRA database, which includes diagnostic information of nearly all Korean nationals to collect number of cases with diagnosis of schizophrenia and schizophrenia-similar disorders (SSP), including schizophreniform, acute/transient psychotic disorders, schizoaffective disorders, and other/unspecific nonorganic psychosis (ICD-10 codes F20/23/25/28/29) between 2010 and 2015. The annual prevalence and incidence were calculated using the population data from the Korean Statistical Office. Results: The 12-month prevalence of SSP of Korea between 2010 and 2015 were 0.48–0.66%. The 12-month prevalence of schizophrenia were 0.40–0.52%; The annual incidence rates (IR) of SSP between 2010 and 2015 were 118.8–148.7 per 100,000 person-year (PY). For schizophrenia, IR per 100,000 PY were 77.6–88.5 between 2010 and 2015. Conclusion The 12-month prevalence found in the present study was higher than that reported in community-based epidemiologic studies in South Korea but similar to those from other countries. The annual incidence of SSP and schizophrenia was found to steadily increase and was higher than that of other countries. The high incidence rate observed in the current study needs to be studied further.