1.A Case of Ischiofemoral Impingement Syndrome as a Differential Diagnosis of Ankylosing Spondylitis.
Minkoo KANG ; So Young BANG ; Jeong Ah RYU ; Seungjun GIM ; Eun Sik PARK ; Hyeyoung LEE ; Hye Soon LEE
Journal of Rheumatic Diseases 2016;23(3):179-182
Ischiofemoral impingement (IFI) syndrome is an uncommon cause of gluteal and hip pain. We report on a case of a 20-year-old man who presented with chronic gluteal and hip pain with low back pain without a history of trauma or surgery. He was misdiagnosed with ankylosing spondylitis (AS) at another clinic. The patient was finally diagnosed with IFI syndrome according to pelvic magnetic resonance imaging findings at our hospital. After two weeks of medical and physical treatment, his pain showed gradual improvement. Because IFI syndrome is rarely reported in male patients, it might be misdiagnosed as AS. Therefore, IFI syndrome should be considered as a differential diagnosis of AS, particularly in young male patients with atypical pain characteristics.
Diagnosis, Differential*
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Hip
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Humans
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Low Back Pain
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Magnetic Resonance Imaging
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Male
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Spondylitis, Ankylosing*
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Young Adult
2.Analysis of Neutralization Antibodies in Patients With Mild COVID-19 Infection After 100 Days Using Microneutralization Test
Min-Ju AHN ; Dae Gwin JEONG ; Kyu-Sun LEE ; Seungjun LEE ; Byung-Han RYU ; Hye Ryun YANG ; Sunjoo KIM
Annals of Clinical Microbiology 2022;25(1):29-33
Neutralizing antibodies play a critical role in blocking viral infections and in viral clearance during acute infection. The microneutralization assay and enzyme-linked immunosorbent assay (ELISA) targeting the receptor binding domain were performed for 30 patients with mild coronavirus disease (COVID)-19 infections. The elapsed number of days between sample collection and diagnosis was 115 days, and real-time polymerase chain reaction (PCR) cycle threshold (Ct) values at diagnosis were recorded. Clinical characteristics and Ct values were compared between neutralization antibody-positive and -negative patients as measured by the microneutralization assay. Neutralization antibody-positive patients (n = 9) were likely to be older, have low Ct values, have more pneumonia during admission, and have a higher optical density in ELISA than the neutralization antibody-negative patients (n = 21). Elderly people seemed to have a higher viral load causing more pneumonia and to produce more neutralization antibodies. Neutralization antibodies persisted in only 30% of patients as detected by microneutralization test after 100 days of diagnosis.
3.Clinical Effect of Transverse Process Hook with K-Means Clustering-Based Stratification of Computed Tomography Hounsfield Unit at Upper Instrumented Vertebra Level in Adult Spinal Deformity Patients
Jongwon CHO ; Seungjun RYU ; Hyun-Jun JANG ; Jeong-Yoon PARK ; Yoon HA ; Sung-Uk KUH ; Dong-Kyu CHIN ; Keun-Su KIM ; Yong-Eun CHO ; Kyung-Hyun KIM
Journal of Korean Neurosurgical Society 2023;66(1):44-52
Objective:
: This study aimed to investigate the efficacy of transverse process (TP) hook system at the upper instrumented vertebra (UIV) for preventing screw pullout in adult spinal deformity surgery using the pedicle Hounsfield unit (HU) stratification based on K-means clustering.
Methods:
: We retrospectively reviewed 74 patients who underwent deformity correction surgery between 2011 and 2020 and were followed up for >12 months. Pre- and post-operative data were used to determine the incidence of screw pullout, UIV TP hook implementation, vertebral body HU, pedicle HU, and patient outcomes. Data was then statistically analyzed for assessment of efficacy and risk prediction using stratified HU at UIV level alongside the effect of the TP hook system.
Results:
: The screw pullout rate was 36.4% (27/74). Perioperative radiographic parameters were not significantly different between the pullout and non-pullout groups. The vertebral body HU and pedicle HU were significantly lower in the pullout group. K-means clustering stratified the vertebral body HU ≥205.3, <137.2, and pedicle HU ≥243.43, <156.03. The pullout rate significantly decreases in patients receiving the hook system when the pedicle HU was from ≥156.03 to < 243.43 (p<0.05), but the difference was not statistically significant in the vertebra HU stratified groups and when pedicle HU was ≥243.43 or <156.03. The postoperative clinical outcomes improved significantly with the implementation of the hook system.
Conclusion
: The UIV hook provides better clinical outcomes and can be considered a preventative strategy for screw-pullout in the certain pedicle HU range.
4.The Accuracy of ICD codes for Cerebrovascular Diseases in Medical Insurance Claims.
Jong Ku PARK ; Ki Soon KIM ; Chun Bae KIM ; Tae Yong LEE ; Kang Sook LEE ; Duk Hee LEE ; Sunhee LEE ; Sun Ha JEE ; Il SUH ; Kwang Wook KOH ; So Yeon RYU ; Kee Ho PARK ; Woonje PARK ; Seungjun WANG ; Hwasoon LEE ; Yoomi CHAE ; Hyensook HONG ; Jin Sook SUH
Korean Journal of Preventive Medicine 2000;33(1):76-82
OBJECTIVES: We attempted to assess the accuracy of ICD codes for cerebrovascular diseases in medical insurance claims (ICMIC) and to investigate the reasons for error. This study was designed as a preliminary study to establish a nationwide surveillance system. METHODS: A total of 626 patients with medical insurance claims who indicated a diagnosis of cerebrovascular diseases during the period from 1993 to 1997 was selected from the Korea Medical Insurance Corporation cohort (KMIC cohort: 115,600 persons). The KMIC cohort was 10% of those insured who had taken health examinations in 1990 and 1992 consecutively. The registered medical record administrators were trained in the survey technique and gathered data from March to May 1999. The definition of cerebrovascular diseases in this study included cases which met one of two criteria (Minnesota, WHO) or 'definite stroke' in CT/MRI finding. We questioned the medical record administrators to explain the error if the final diagnoses were not coded as stroke. RESULTS: The accuracy rate of the ICMIC was 83.0% (425 cases). Medical records were not available for 8.2% (51 cases) due to the closing of hospitals, the absence of a computer system or omission of medical record, etc. Sixty-three cases (10.0%) were classified as impossible to interpret due to insufficient records in 'major clinical symptoms' or 'neurological deficits'. The most common reason was 'to meet review criteria of medical insurance benefits (52.9%)'. The department where errors in the ICMIC occurred most frequently was the department for medical insurance claims in the hospital. CONCLUSION: The accuracy rate of the ICMIC was 83.0%.
Cohort Studies
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Computer Systems
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Diagnosis
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Humans
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Insurance Benefits
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Insurance*
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International Classification of Diseases*
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Korea
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Medical Record Administrators
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Medical Records
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Stroke