Objective: We aimed to investigate the annual incidence and direct medical cost of adjustment disorder in general population using the National Health Insurance Service Database (NHID) in Korea. Methods: To examine the incidence, we selected patients who had at least one medical claim for adjustment disorder and had not been diagnosed in the previous 365 days, from 2010 to 2017. Results: The number of newly diagnosed cases of adjustment disorder from 2011 to 2017 were total 101,922. Annual incidence of adjustment disorder was ranged from 22.0 to 36.8 per 100,000 persons. The incidence of adjustment disorder was found more in female and highest among 70–79 years of age group and medical aid beneficiaries group. Annual prevalence of adjustment disorder was in the range from 95.4 to 116.4 per 100,000 persons. Estimated annual medical cost per person of adjustment disorder was ranged from 162 to 231.4 US dollars. Conclusion From 2011 to 2017, the annual incidence and direct medical cost of adjustment disorder in Korea were increased. Proper information on adjustment disorder will not only allows us to accumulate more knowledge but also lead to more appropriate therapeutic interventions.

Objective: We aimed to investigate the annual incidence and direct medical cost of adjustment disorder in general population using the National Health Insurance Service Database (NHID) in Korea. Methods: To examine the incidence, we selected patients who had at least one medical claim for adjustment disorder and had not been diagnosed in the previous 365 days, from 2010 to 2017. Results: The number of newly diagnosed cases of adjustment disorder from 2011 to 2017 were total 101,922. Annual incidence of adjustment disorder was ranged from 22.0 to 36.8 per 100,000 persons. The incidence of adjustment disorder was found more in female and highest among 70–79 years of age group and medical aid beneficiaries group. Annual prevalence of adjustment disorder was in the range from 95.4 to 116.4 per 100,000 persons. Estimated annual medical cost per person of adjustment disorder was ranged from 162 to 231.4 US dollars. Conclusion From 2011 to 2017, the annual incidence and direct medical cost of adjustment disorder in Korea were increased. Proper information on adjustment disorder will not only allows us to accumulate more knowledge but also lead to more appropriate therapeutic interventions.

BACKGROUND/AIMS: Presence of enhanced mural nodules, which can be visualized using computed tomography (CT), is one of high-risk stigmata in branch-duct intraductal papillary mucinous neoplasms (BD-IPMNs). Conversely, the absence of enhanced mural nodules on preoperative imaging does not exclude malignant risk. The present study aimed to investigate other morphological features as predictors of malignancy in “pure” BD-IPMNs without enhanced mural nodules on CT. METHODS: This retrospective study included 180 patients with surgically confirmed “pure” BD-IPMNs of the pancreas and no enhanced mural nodules on preoperative CT. The study was conducted at 15 tertiary referral centers throughout South Korea. Univariate and multivariate analyses were used to identify significant predictors of malignancy. RESULTS: BD-IPMNs with low-grade (n=84) or moderate-grade (n=76) dysplasia were classified as benign; those with high-grade dysplasia (n=8) or invasive carcinoma (n=12) were classified as malignant. The multivariate analysis revealed that cyst size ≥30 mm (odds ratio, 8.6; p=0.001) and main pancreatic duct diameter ≥5 mm (odds ratio, 4.1; p=0.01) were independent risk factors for malignancy in “pure” BD-IPMNs without enhanced mural nodules on CT. Endoscopic ultrasound detected enhanced mural nodules (6/82) that had been missed on CT, and two IPMNs with enhanced mural nodules were malignant. CONCLUSIONS: In patients with “pure” BD-IPMNs who have no enhanced mural nodules on CT, cyst size ≥30 mm and main pancreatic duct diameter ≥5 mm may be associated with malignancy.
Christianity ; Humans ; Korea ; Mucins* ; Multivariate Analysis ; Pancreas* ; Pancreatic Ducts ; Retrospective Studies ; Risk Factors ; Tertiary Care Centers ; Ultrasonography

This erratum is being published to correct the printing error on page 517 of the article. Corrections for Fig. 1 and main text in page 519 are needed. The authors apologize for any inconvenience that this may have caused.