Open reduction in an AO 33-A3 class distal femur transverse and comminuted fracture is often difficult due to frequent reduction loss during surgery, leading to longer operative time and increased blood loss intra-operation. In this study, the authors report a case in which the use of an offset grid plate (OsteoMed, USA) using 2.4 mm HPS (hand plating system) eased the process of fracture reduction and achieved a stable internal fixation, ultimately leading to successful osteosynthesis. The authors experienced no need for temporary fixation devices such as K-wires or screws, which are otherwise required to stabilize the reduction. The fracture reduction was stable throughout the primary fixation of the fracture using a locking plate and screws. The authors report that the advantage of the HPS plate is fitting into the cortical contour and providing stable maintenance of fracture reduction intra-operation, which would be beneficial in certain distal femoral fracture patterns.

Purpose: To investigate growth response in children with either idiopathic short stature (ISS) or growth hormone (GH) deficiency (GHD). Methods: The data of prepubertal GHD or ISS children treated using recombinant human GH were obtained from the LG Growth Study database. GHD children were further divided into partial and complete GHD groups. Growth response and factors predicting growth response after 1 and 2 years of GH treatment were investigated. Results: This study included 692 children (98 with ISS, 443 partial GHD, and 151 complete GHD). After 1 year, changes in height standard deviation score (ΔHt-SDS) were 0.78, 0.83, and 0.96 in ISS, partial GHD, and complete GHD, respectively. Height velocity (HV) was 8.72, 9.04, and 9.52 cm/yr in ISS, partial GHD, and complete GHD, respectively. ΔHt-SDS and HV did not differ among the 3 groups. Higher initial body mass index standard deviation score (BMI-SDS) and midparental height standard deviation score (MPH-SDS) were predictors for better growth response after 1 year in ISS and the partial GHD group, respectively. In the complete GHD group, higher Ht-SDS and BMI-SDS predicted better growth response after 1 year. After 2 years of GH treatment, higher BMI-SDS and MPH-SDS predicted a better growth outcome in the partial GHD group, and higher MPH-SDS was a predictor of good growth response in complete GHD. Conclusion Clinical characteristics and growth response did not differ among groups. Predictors of growth response differed among the 3 groups, and even in the same group, a higher GH dose would be required when poor response is predicted.

Diabetic nephropathy (DN) can affect quality of life (QoL) because it requires arduous lifelong management. This study analyzed QoL differences between DN patients and patients with other chronic kidney diseases (CKDs). Methods: The analysis included subjects (n = 1,766) from the KNOW-CKD (Korean Cohort Study for Outcomes in Patients with Chronic Kidney Disease) cohort who completed the Kidney Disease Quality of Life Short Form questionnaire. After implementing propensity score matching (PSM) using factors that affect the QoL of DN patients, QoL differences between DN and non-DN participants were examined. Results: Among all DN patients (n = 390), higher QoL scores were found for taller subjects, and lower scores were found for those who were unemployed or unmarried, received Medical Aid, had lower economic status, had higher platelet counts or alkaline phosphatase levels, or used clopidogrel or insulin. After PSM, the 239 matched DN subjects reported significantly lower patient satisfaction (59.9 vs. 64.5, p = 0.02) and general health (35.3 vs. 39.1, p = 0.04) than the 239 non-DN subjects. Scores decreased in both groups during the 5-year follow-up, and the scores in the work status, sexual function, and role-physical domains were lower among DN patients than non-DN patients, though those differences were not statistically significant. Conclusion: Socioeconomic factors of DN were strong risk factors for impaired QoL, as were high platelet, alkaline phosphatase, and clopidogrel and insulin use. Clinicians should keep in mind that the QoL of DN patients might decrease in some domains compared with non-DN CKDs.

Purpose: Neuroinflammation is considered an important pathway associated with several diseases that result in cognitive decline. 18F-THK5351 positron emission tomography (PET) signals might indicate the presence of neuroinflammation, as well as Alzheimer’s disease-type tau aggregates. β-amyloid (Aβ)-negative (Aβ–) amnestic mild cognitive impairment (aMCI) may be associated with non-Alzheimer’s disease pathophysiology. Accordingly, we investigated associations between 18F-THK5351 PET positivity and cognitive decline among Aβ– aMCI patients. Materials and Methods: The present study included 25 amyloid PET negative aMCI patients who underwent a minimum of two follow-up neuropsychological evaluations, including clinical dementia rating-sum of boxes (CDR-SOB). The patients were classified into two groups: 18F-THK5351-positive and -negative groups. The present study used a linear mixed effects model to estimate the effects of 18F-THK5351 PET positivity on cognitive prognosis among Aβ– aMCI patients. Results: Among the 25 Aβ– aMCI patients, 10 (40.0%) were 18F-THK5351 positive. The patients in the 18F-THK5351-positive group were older than those in the 18F-THK5351-negative group (77.4±2.2 years vs. 70.0±5.5 years; p<0.001). There was no difference between the two groups with regard to the proportion of apolipoprotein E ε4 carriers. Interestingly, however, the CDR-SOB scores of the 18F-THK5351-positive group deteriorated at a faster rate than those of the 18F-THK5351-negative group (B=0.003, p=0.033). Conclusion The results of the present study suggest that increased 18F-THK5351 uptake might be a useful predictor of poor prognosis among Aβ– aMCI patients, which might be associated with increased neuroinflammation (ClinicalTrials.gov NCT02656498).

Background: In this study, we aimed to investigate the interaction effects of individual socioeconomic status and regional deprivation on the onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients. Methods: Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 50,954 patients newly diagnosed with type 2 diabetes from 2004 to 2012 and aged 30 years or above were included. We classified patients into six groups according to individual income level and neighborhood deprivation: ‘high in advantaged,’ ‘high in disadvantaged,’ ‘middle in advantaged,’ ‘middle in disadvantaged,’ ‘low in advantaged,’ and ‘low in disadvantaged.’ We calculated hazard ratios (HR) of onset of diabetes complication and diabetes-related hospitalization using the Cox proportional hazard model, with the reference group as diabetes patients with high income in advantaged regions. Results: In terms of the interaction effects of individual income level and regional socioeconomic level, even with the same low individual income level, the group with a high regional socioeconomic level (low in advantaged) showed low HRs for the onset of diabetes complication (HR, 1.04; 95% confidence interval [CI], 1.00–1.08) compared to the ‘low in disadvantaged’ group (HR, 1.10;95% CI, 1.05–1.16). In addition, the ‘high in advantaged’ group showed slightly higher HRs for the onset of diabetes complication (HR, 1.06; 95% CI, 1.00–1.11) compared to the ‘low in advantaged’ and it appeared to be associated with slight mitigation of the risk of diabetes complication. For the low-income level, the patients in disadvantaged regions showed the highest HRs for diabetes-related hospitalization (HR, 1.29; 95% CI, 1.19–1.41) compared to the other groups. Conclusion Although we need to perform further investigations to reveal the mechanisms that led to our results, interaction effects individual socioeconomic status and regional deprivation might be associated with on onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients.

Background: As the use of laser therapy for skin lesions has increased significantly, laser treatment is performed in many cases without an accurate diagnosis. Objective: This study aimed to analyze cases in which skin lesions recurred or remained after laser treatment by investigating the clinicopathological diagnosis. Methods: We retrospectively analyzed the patients who visited the Seoul Saint Mary’s hospital from January 2011 to December 2020, the clinical records of 518 cases of patient who had a history of laser treatment and underwent histopathological examination. Results: The number and proportion of patients who visited the hospital showed a steadily increasing trend for 10 years. In 187 patients, the time between laser treatment and hospital visits was ＞1 year. The most common site of lesions was the face (66.2%), especially the cheek (29.3%) and nose (12.2%). Final diagnosis of the lesion yielded 59 cases (11.4%) of premalignant diseases and 55 cases (10.6%) of malignant tumors, and the rate increased with increasing age. The most common malignant tumor was basal cell carcinoma (69.1%), followed by squamous cell carcinoma (14.5%) and malignant melanoma (12.7%). Conclusion In this study, we found that laser treatment for premalignant and malignant tumors is not rare. This study emphasizes that indiscriminate laser treatment should be avoided, and an accurate diagnosis and proper medical treatment by an experienced dermatologist are needed.

Objectives: Given that cardiopulmonary resuscitation (CPR) is an aerosol-generating procedure, it is necessary to use a mechanical ventilator and reduce the number of providers involved in resuscitation for in-hospital cardiac arrest in coronavirus disease (COVID-19) patients or suspected COVID-19 patients. However, no study assessed the effect of changes in inspiratory time on flowrate and airway pressure during CPR. We herein aimed to determine changes in these parameters during CPR and identify appropriate ventilator management for adults during CPR. Methods: We measured changes in tidal volume (Vt), peak inspiratory flow rate (PIFR), peak airway pressure (Ppeak), mean airway pressure (Pmean) according to changes in inspiratory time (0.75 s, 1.0 s and 1.5 s) with or without CPR. Vt of 500 mL was supplied (flowrate: 10 times/min) using a mechanical ventilator. Chest compressions were maintained at constant compression depth (53 ± 2 mm) and speed (102 ± 2/min) using a mechanical chest compression device. Results: Median levels of respiratory physiological parameters during CPR were significantly different according to the inspiratory time (0.75 s vs. 1.5 s): PIFR (80.8 [73.3 – 87.325] vs. 70.5 [67 – 72.4] L/min, P < 0.001), Ppeak (54 [48 – 59] vs. 47 [45 – 49] cmH2O, P < 0.001), and Pmean (3.9 [3.6 – 4.1] vs. 5.7 [5.6 – 5.8] cmH2O, P < 0.001). Conclusions Changes in PIFR, Ppeak, and Pmean were associated with inspiratory time. PIFR and Ppeak values tended to decrease with increase in inspiratory time, while Pmean showed a contrasting trend. Increased inspiratory time in low-compliance cardiac arrest patients will help in reducing lung injury during adult CPR.

Background: In this study, we aimed to investigate the interaction effects of individual socioeconomic status and regional deprivation on the onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients. Methods: Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 50,954 patients newly diagnosed with type 2 diabetes from 2004 to 2012 and aged 30 years or above were included. We classified patients into six groups according to individual income level and neighborhood deprivation: ‘high in advantaged,’ ‘high in disadvantaged,’ ‘middle in advantaged,’ ‘middle in disadvantaged,’ ‘low in advantaged,’ and ‘low in disadvantaged.’ We calculated hazard ratios (HR) of onset of diabetes complication and diabetes-related hospitalization using the Cox proportional hazard model, with the reference group as diabetes patients with high income in advantaged regions. Results: In terms of the interaction effects of individual income level and regional socioeconomic level, even with the same low individual income level, the group with a high regional socioeconomic level (low in advantaged) showed low HRs for the onset of diabetes complication (HR, 1.04; 95% confidence interval [CI], 1.00–1.08) compared to the ‘low in disadvantaged’ group (HR, 1.10;95% CI, 1.05–1.16). In addition, the ‘high in advantaged’ group showed slightly higher HRs for the onset of diabetes complication (HR, 1.06; 95% CI, 1.00–1.11) compared to the ‘low in advantaged’ and it appeared to be associated with slight mitigation of the risk of diabetes complication. For the low-income level, the patients in disadvantaged regions showed the highest HRs for diabetes-related hospitalization (HR, 1.29; 95% CI, 1.19–1.41) compared to the other groups. Conclusion Although we need to perform further investigations to reveal the mechanisms that led to our results, interaction effects individual socioeconomic status and regional deprivation might be associated with on onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients.