• 제목/요약/키워드: Median regression

검색결과 490건 처리시간 0.026초

설악산 국립공원 지역 토석류 발생가능성 평가 기법의 개발 (Development of a Prediction Technique for Debris Flow Susceptibility in the Seoraksan National Park, Korea)

  • 이성재;김길원;정원옥;강원석;이은재
    • 한국산림과학회지
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    • 제110권1호
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    • pp.64-71
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    • 2021
  • 최근의 기후변화는 산지토사재해의 발생을 가속시키고 있다. 산지토사재해 중 토석류는 전파길이가 길고 매우 빠른 거동 특성을 갖기 때문에 매우 위협적으로 인식된다. 본 연구는 설악산 국립공원내 토석류 발생지 263개소를 대상으로 발생 길이(m)에 미치는 영향인자를 구명하고, 수량화이론(I)을 사용하여 발생 길이에 대한 각 산림환경 인자의 기여도 분석을 하여 예방적인 측면에서 국립공원내 토석류 발생 가능성지역에 대한 예측기법을 개발하였다. 각 산림환경 인자의 Range를 추정한 결과, 종단사면(0.9676)이 가장 높게 나타나 설악산 국립공원의 토석류 발생 가능성에 큰 영향을 미치는 것으로 추정되었으며, 다음으로는 횡단사면(0.6876), 고도(0.2356), 사면경사(0.1590), 방위(0.1364) 순으로 나타났다. 설악산 국립공원 산악지 토석류 발생 발생가능성 판정표를 기준으로 5개의 산림환경 인자의 category별 점수를 계산한 추정치 범위는 0점에서 2.1864점 사이에 분포하고 있으며, 중앙값은 1.0932점으로 토석류 발생가능성을 예측을 작성한 결과 I등급은 1.6399 이상, II등급 1.0932~1.6398, III등급 0.5466~1.0931, IV등급 0.5465 이하로 나타나 1등급, 2등급에서 토석류 발생 비율이 86.3%로서 높은 적중률을 보였다.

Age group analysis of patients with dog bite injuries who visited a single regional emergency medical center and factors affecting wound infections

  • Kang, Dong Ho;Choi, Jea Yeon;Choi, Woo Sung;Jang, Jae Ho;Cho, Jin-Seong;Hyun, Sung Youl
    • Journal of Trauma and Injury
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    • 제35권2호
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    • pp.84-91
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    • 2022
  • Purpose: The aim of this study was to analyze by age group the characteristics of patients with dog bite injuries, as well as determine which factors were associated with wound infections in those patients. Methods: We reviewed patients with dog bite injuries who presented to Gachon University Gil Medical Center in Incheon, Korea from January 1, 2014 to December 31, 2018. They were classified by age group: children (0-18 years), adults (19-59 years), or elderly (≥60 years). Event profiles, wound characteristics, and infections were compared across these age groups. Multivariable logistic regression was used to identify factors associated with wound infections. Results: Of the total 972 dog bite injuries, 272 (28.0%) were in children, 606 (62.3%) were in adults, and 94 (9.7%) were in the elderly. The median age was 30 years (interquartile range, 16-48 years) and the majority of patients (60.5%) were female. The most common place of injury was at home (73.8%) and indoors (77.0%). In children, the head and neck were the most frequent sites of injury (43%), while the most frequent site in adults and the elderly (50.8% and 59.6%, respectively) was the upper extremity. The odds ratio (OR) for wound infection was 3.997 (95% confidence interval [CI], 1.279-12.491; P=0.017) for head and neck injuries and 3.881 (95% CI, 1.488-10.122; P=0.006) for lower extremity injuries. The OR for wound infection was 4.769 (95% CI, 2.167-10.494; P<0.001) for significant injuries. Elderly patients had a higher risk for wound infection than other age groups (OR, 2.586; 95% CI, 1.221-5.475; P=0.013). Conclusions: When analyzing patients with dog bite injuries, differences across age groups were found, with the elderly at the highest risk for significant injury and wound infection. It is recommended that age-specific approaches and strategies be used to prevent dog bite wound infections.

Sleep Quality and Poor Sleep-related Factors Among Healthcare Workers During the COVID-19 Pandemic in Vietnam

  • Thang Phan;Ha Phan Ai Nguyen;Cao Khoa Dang;Minh Tri Phan;Vu Thanh Nguyen;Van Tuan Le;Binh Thang Tran;Chinh Van Dang;Tinh Huu Ho;Minh Tu Nguyen;Thang Van Dinh;Van Trong Phan;Binh Thai Dang;Huynh Ho Ngoc Quynh;Minh Tran Le;Nhan Phuc Thanh Nguyen
    • Journal of Preventive Medicine and Public Health
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    • 제56권4호
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    • pp.319-326
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    • 2023
  • Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

Volume and Mass Doubling Time of Lung Adenocarcinoma according to WHO Histologic Classification

  • Jung Hee Hong;Samina Park;Hyungjin Kim;Jin Mo Goo;In Kyu Park;Chang Hyun Kang;Young Tae Kim;Soon Ho Yoon
    • Korean Journal of Radiology
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    • 제22권3호
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    • pp.464-475
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    • 2021
  • Objective: This study aimed to evaluate the tumor doubling time of invasive lung adenocarcinoma according to the International Association of the Study for Lung Cancer (IASLC)/American Thoracic Society (ATS)/European Respiratory Society (ERS) histologic classification. Materials and Methods: Among the 2905 patients with surgically resected lung adenocarcinoma, we retrospectively included 172 patients (mean age, 65.6 ± 9.0 years) who had paired thin-section non-contrast chest computed tomography (CT) scans at least 84 days apart with the same CT parameters, along with 10 patients with squamous cell carcinoma (mean age, 70.9 ± 7.4 years) for comparison. Three-dimensional semiautomatic segmentation of nodules was performed to calculate the volume doubling time (VDT), mass doubling time (MDT), and specific growth rate (SGR) of volume and mass. Multivariate linear regression, one-way analysis of variance, and receiver operating characteristic curve analyses were performed. Results: The median VDT and MDT of lung cancers were as follows: acinar, 603.2 and 639.5 days; lepidic, 1140.6 and 970.1 days; solid/micropapillary, 232.7 and 221.8 days; papillary, 599.0 and 624.3 days; invasive mucinous, 440.7 and 438.2 days; and squamous cell carcinoma, 149.1 and 146.1 days, respectively. The adjusted SGR of volume and mass of the solid-/micropapillary-predominant subtypes were significantly shorter than those of the acinar-, lepidic-, and papillary-predominant subtypes. The histologic subtype was independently associated with tumor doubling time. A VDT of 465.2 days and an MDT of 437.5 days yielded areas under the curve of 0.791 and 0.795, respectively, for distinguishing solid-/micropapillary-predominant subtypes from other subtypes of lung adenocarcinoma. Conclusion: The tumor doubling time of invasive lung adenocarcinoma differed according to the IASCL/ATS/ERS histologic classification.

Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning

  • Nam gyu Kang;Young Joo Suh;Kyunghwa Han;Young Jin Kim;Byoung Wook Choi
    • Korean Journal of Radiology
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    • 제22권3호
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    • pp.334-343
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    • 2021
  • Objective: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms. Materials and Methods: We retrospectively enrolled 408 patients who underwent cardiac CT between March 2010 and August 2017 and had echocardiographic examinations (240 patients with severe AS on echocardiography [the severe AS group] and 168 patients without severe AS [the non-severe AS group]). Data were divided into a training set (312 patients) and a validation set (96 patients). Using non-contrast-enhanced cardiac CT scans, AVC was segmented, and 128 radiomics features for AVC were extracted. After feature selection was performed with three ML algorithms (least absolute shrinkage and selection operator [LASSO], random forests [RFs], and eXtreme Gradient Boosting [XGBoost]), model classifiers for diagnosing severe AS on echocardiography were developed in combination with three different model classifier methods (logistic regression, RF, and XGBoost). The performance (c-index) of each radiomics prediction model was compared with predictions based on AVC volume and score. Results: The radiomics scores derived from LASSO were significantly different between the severe AS and non-severe AS groups in the validation set (median, 1.563 vs. 0.197, respectively, p < 0.001). A radiomics prediction model based on feature selection by LASSO + model classifier by XGBoost showed the highest c-index of 0.921 (95% confidence interval [CI], 0.869-0.973) in the validation set. Compared to prediction models based on AVC volume and score (c-indexes of 0.894 [95% CI, 0.815-0.948] and 0.899 [95% CI, 0.820-0.951], respectively), eight and three of the nine radiomics prediction models showed higher discrimination abilities for severe AS. However, the differences were not statistically significant (p > 0.05 for all). Conclusion: Models based on the radiomics features of AVC and ML algorithms may perform well for diagnosing severe AS, but the added value compared to AVC volume and score should be investigated further.

Primary Invasive Mucinous Adenocarcinoma of the Lung: Prognostic Value of CT Imaging Features Combined with Clinical Factors

  • Tingting Wang;Yang Yang;Xinyue Liu;Jiajun Deng;Junqi Wu;Likun Hou;Chunyan Wu;Yunlang She;Xiwen Sun;Dong Xie;Chang Chen
    • Korean Journal of Radiology
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    • 제22권4호
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    • pp.652-662
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    • 2021
  • Objective: To investigate the association between CT imaging features and survival outcomes in patients with primary invasive mucinous adenocarcinoma (IMA). Materials and Methods: Preoperative CT image findings were consecutively evaluated in 317 patients with resected IMA from January 2011 to December 2015. The association between CT features and long-term survival were assessed by univariate analysis. The independent prognostic factors were identified by the multivariate Cox regression analyses. The survival comparison of IMA patients was investigated using the Kaplan-Meier method and propensity scores. Furthermore, the prognostic impact of CT features was assessed based on different imaging subtypes, and the results were adjusted using the Bonferroni method. Results: The median follow-up time was 52.8 months; the 5-year disease-free survival (DFS) and overall survival rates of resected IMAs were 68.5% and 77.6%, respectively. The univariate analyses of all IMA patients demonstrated that 15 CT imaging features, in addition to the clinicopathologic characteristics, significantly correlated with the recurrence or death of IMA patients. The multivariable analysis revealed that five of them, including imaging subtype (p = 0.002), spiculation (p < 0.001), tumor density (p = 0.008), air bronchogram (p < 0.001), emphysema (p < 0.001), and location (p = 0.029) were independent prognostic factors. The subgroup analysis demonstrated that pneumonic-type IMA had a significantly worse prognosis than solitary-type IMA. Moreover, for solitary-type IMAs, the most independent CT imaging biomarkers were air bronchogram and emphysema with an adjusted p value less than 0.05; for pneumonic-type IMA, the tumors with mixed consolidation and ground-glass opacity were associated with a longer DFS (adjusted p = 0.012). Conclusion: CT imaging features characteristic of IMA may provide prognostic information and individual risk assessment in addition to the recognized clinical predictors.

Comparison of Veno-arterial Extracorporeal Membrane Oxygenation Configurations for Patients Listed for Heart Transplantation

  • Jung Ae Hong;Ah-Ram Kim;Min-Ju Kim;Dayoung Pack;Junho Hyun;Sang Eun Lee;Jae-Joong Kim;Pil Je Kang;Sung-Ho Jung;Min-Seok Kim
    • Korean Circulation Journal
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    • 제53권8호
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    • pp.535-547
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    • 2023
  • Background and Objectives: Veno-arterial extracorporeal membrane oxygenation (VAECMO) as a bridge to eventual heart transplantation (HT) is increasingly used worldwide. However, the effect of different VA-ECMO types on HT outcomes remains unclear. Methods: This was a retrospective observational study of 111 patients receiving VA-ECMO and awaiting HT. We assessed 3 ECMO configuration groups: peripheral (n=76), central (n=12), and peripheral to central ECMO conversion (n=23). Cox proportional hazards regression and landmark analysis were conducted to analyze the effect of the ECMO configuration on HT and in-hospital mortality rates. We also evaluated adverse events during ECMO support. Results: HT was performed in the peripheral (n=48, 63.2%), central (n=10, 83.3%), and conversion (n=11, 47.8%) ECMO groups (p=0.133) with a median interval of 10.5, 16, and 30 days, respectively (p<0.001). The cumulative incidence of HT was significantly lower in the conversion group (hazard ratio, 0.292, 95% confidence interval, 0.145-0.586, p=0.001). However, there was no difference in in-hospital mortality (log-rank p=0.433). In the landmark analysis, in-hospital mortality did not differ significantly among the 3 groups. Although we did note a trend toward lower HT in the conversion group, the difference was not statistically significant. Surgical site bleeding occurred mainly in the central, while limb ischemia occurred mainly in the peripheral groups. Conclusions: We suggest that if patients are being stably supported with their initial ECMO configuration, whether it is central or peripheral, it should be maintained, and ECMO conversion should only be cautiously performed when necessary.

Implications of Sarcopenia and Glucometabolism Parameters of Muscle Derived From Baseline and End-of-Treatment 18F-FDG PET/CT in Diffuse Large B-Cell Lymphoma

  • Xiaoyue Tan;Xiaolin Sun;Yang Chen;Fanghu Wang;Yuxiang Shang;Qing Zhang;Hui Yuan;Lei Jiang
    • Korean Journal of Radiology
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    • 제25권3호
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    • pp.277-288
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    • 2024
  • Objective: We previously found that the incidence of sarcopenia increased with declining glucose metabolism of muscle in patients with treatment-naïve diffuse large B-cell lymphoma (DLBCL). This study aimed to investigate the relationship between sarcopenia and muscle glucometabolism using 18F-FDG PET/CT at baseline and end-of-treatment, analyze the changes in these parameters through treatment, and assess their prognostic values. Materials and Methods: The records of 103 patients with DLBCL (median 54 years [range, 21-76]; male:female, 50:53) were retrospectively reviewed. Skeletal muscle area at the third lumbar vertebral (L3) level was measured, and skeletal muscle index (SMI) was calculated to determine sarcopenia, defined as SMI < 44.77 cm2/m2 and < 32.50 cm2/m2 for male and female, respectively. Glucometabolic parameters of the psoas major muscle, including maximum standardized uptake value (SUVmax) and mean standardized uptake value (SUVmean), were measured at L3 as well. Their changes across treatment were also calculated as ΔSMI, ΔSUVmax, and ΔSUVmean; Δbody mass index was also calculated. Associations between SMI and the metabolic parameters were analyzed, and their associations with progression-free survival (PFS) and overall survival (OS) were identified. Results: The incidence of sarcopenia was 29.1% and 36.9% before and after treatment, respectively. SMI (P = 0.004) was lower, and sarcopenia was more frequent (P = 0.011) at end-of-treatment than at baseline. The SUVmax and SUVmean of muscle were lower (P < 0.001) in sarcopenia than in non-sarcopenia at both baseline and end-of-treatment. ΔSMI was positively correlated with ΔSUVmax of muscle (P = 0.022). Multivariable Cox regression analysis showed that sarcopenia at end-of-treatment was independently negatively associated with PFS (adjusted hazard ratio [95% confidence interval], 2.469 [1.022-5.965]), while sarcopenia at baseline was independently negatively associated with OS (5.051 [1.453-17.562]). Conclusion: Sarcopenic patients had lower muscle glucometabolism, and the muscular and metabolic changes across treatment were positively correlated. Sarcopenia at baseline and end-of-treatment was negatively associated with the prognosis of DLBCL.

Evaluation of Malignancy Risk of Ampullary Tumors Detected by Endoscopy Using 2-[18F]FDG PET/CT

  • Pei-Ju Chuang;Hsiu-Po Wang;Yu-Wen Tien;Wei-Shan Chin;Min-Shu Hsieh;Chieh-Chang Chen;Tzu-Chan Hong;Chi-Lun Ko;Yen-Wen Wu;Mei-Fang Cheng
    • Korean Journal of Radiology
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    • 제25권3호
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    • pp.243-256
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    • 2024
  • Objective: We aimed to investigate whether 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (2-[18F]FDG PET/CT) can aid in evaluating the risk of malignancy in ampullary tumors detected by endoscopy. Materials and Methods: This single-center retrospective cohort study analyzed 155 patients (79 male, 76 female; mean age, 65.7 ± 12.7 years) receiving 2-[18F]FDG PET/CT for endoscopy-detected ampullary tumors 5-87 days (median, 7 days) after the diagnostic endoscopy between June 2007 and December 2020. The final diagnosis was made based on histopathological findings. The PET imaging parameters were compared with clinical data and endoscopic features. A model to predict the risk of malignancy, based on PET, endoscopy, and clinical findings, was generated and validated using multivariable logistic regression analysis and an additional bootstrapping method. The final model was compared with standard endoscopy for the diagnosis of ampullary cancer using the DeLong test. Results: The mean tumor size was 17.1 ± 7.7 mm. Sixty-four (41.3%) tumors were benign, and 91 (58.7%) were malignant. Univariable analysis found that ampullary neoplasms with a blood-pool corrected peak standardized uptake value in earlyphase scan (SUVe) ≥ 1.7 were more likely to be malignant (odds ratio [OR], 16.06; 95% confidence interval [CI], 7.13-36.18; P < 0.001). Multivariable analysis identified the presence of jaundice (adjusted OR [aOR], 4.89; 95% CI, 1.80-13.33; P = 0.002), malignant traits in endoscopy (aOR, 6.80; 95% CI, 2.41-19.20; P < 0.001), SUVe ≥ 1.7 in PET (aOR, 5.43; 95% CI, 2.00-14.72; P < 0.001), and PET-detected nodal disease (aOR, 5.03; 95% CI, 1.16-21.86; P = 0.041) as independent predictors of malignancy. The model combining these four factors predicted ampullary cancers better than endoscopic diagnosis alone (area under the curve [AUC] and 95% CI: 0.925 [0.874-0.956] vs. 0.815 [0.732-0.873], P < 0.001). The model demonstrated an AUC of 0.921 (95% CI, 0.816-0.967) in candidates for endoscopic papillectomy. Conclusion: Adding 2-[18F]FDG PET/CT to endoscopy can improve the diagnosis of ampullary cancer and may help refine therapeutic decision-making, particularly when contemplating endoscopic papillectomy.

Vertebral Venous Congestion That May Mimic Vertebral Metastasis on Contrast-Enhanced Chest Computed Tomography in Chemoport Inserted Patients

  • Jeong In Shin;Choong Guen Chee;Min A Yoon;Hye Won Chung;Min Hee Lee;Sang Hoon Lee
    • Korean Journal of Radiology
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    • 제25권1호
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    • pp.62-73
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    • 2024
  • Objective: This study aimed to determine the prevalence of vertebral venous congestion (VVC) in patients with chemoport insertion, evaluate the imaging characteristics of nodular VVC, and identify the factors associated with VVC. Materials and Methods: This retrospective single-center study was based on follow-up contrast-enhanced chest computed tomography (CT) of 1412 adult patients who underwent chemoport insertion between January 2016 and December 2016. The prevalence of venous stenosis, reflux, and VVC were evaluated. The imaging features of nodular VVC, including specific locations within the vertebral body, were analyzed. To identify the factors associated with VVC, patients with VVC were compared with a subset of patients without VVC who had been followed up for > 3 years without developing VVC after chemoport insertion. Toward this, a multivariable logistic regression analysis was performed. Results: After excluding 333 patients, 1079 were analyzed (mean age ± standard deviation, 62.3 ± 11.6 years; 540 females). The prevalence of VVC was 5.8% (63/1079), with all patients (63/63) demonstrating vertebral venous reflux and 67% (42/63) with innominate vein stenosis. The median interval between chemoport insertion and VVC was 515 days (interquartile range, 204-881 days). The prevalence of nodular VVC was 1.5% (16/1079), with a mean size of 5.9 ± 3.1 mm and attenuation of 784 ± 162 HU. Nodular VVC tended to be located subcortically. Forty-four patients with VVC underwent CT examinations with contrast injections in both arms; the VVC disappeared in 70% (31/44) when the contrast was injected in the arm contralateral to the chemoport site. Bevacizumab use was independently associated with VVC (odds ratio, 3.45; P < 0.001). Conclusion: The prevalence of VVC and nodular VVC was low in patients who underwent chemoport insertion. Nodular VVC was always accompanied by vertebral venous reflux and tended to be located subcortically. To avoid VVC, contrast injection in the arm contralateral to the chemoport site is preferred.