No abstract available.
Autografts ; Goldenhar Syndrome

PURPOSE: This study investigated factors affecting the knowledge and attitude of organ procurement from brain dead patients in nurse clinicians.METHODS: A survey was conducted with 160 clinical nurses from a university hospital in Seoul. Descriptive statistics, t-tests, an ANOVA, Scheffé's test, Pearson's correlation coefficient, and a multiple regression analysis were used.RESULTS: The mean score for knowledge of organ procurement from brain dead patients was 12.41 ± 2.16 (mean correct answers = 62.1). Factors influencing the knowledge of organ procurement among nurse clinicians were working department (β = .454, p < .001), a recent family death (β = .187, p = .014), experience recognizing potential brain dead patients (β = .182, p = .033), and experience referring to potential brain dead patients (β = -.192, p = .048).CONCLUSION: To ensure effective organ procurement from brain dead patients, it is necessary to continually educate nurse clinicians to improve their attitude and knowledge concerning organ donation.
Brain Death ; Brain ; Humans ; Nurse Clinicians ; Seoul ; Tissue and Organ Procurement

PURPOSE: The prognosis of a ductal adenocarcinoma of the body and tail of the pancreas is poor because it is usually diagnosed at an advanced stage and is rarely resectable. The aim of this study was to evaluate the clinical outcomes after a surgical resection of an adenocarcinoma of the distal pancreas. METHODS: A total of 311 patients with an adenocarcinoma of the distal pancreas were admitted between 1985 and 2001, and of these, 54 patients were surgically treated; 29 patients underwent a distal pancreatectomy (extended resection in 12 cases), 9 underwent a palliative bypass, and 16 underwent a open biopsy. The clinical outcome of the 29 patients who underwent a surgical resection for the adenocarcinoma of the distal pancreas was retrospectively analyzed. RESULTS: The resectability rate was 9.3% (29/311). In the resected cases, the cumulative 3-year survival rate was 14.9%, whereas it was 0% (p=0.013) in the non-resected cases. Moreover, a significant survival difference was found between the curatively resected cases (n=16, 28.1%) and the palliatively resected cases (n=13, 0%)(p=0.003). After the curative resection, 11 patients (68.8%) developed a recurrence. Three patients survived more than 3 years (46, 74, 56 months), of whom only one had no recurrent disease. The size of the tumor and the residual tumor were identified as independent significant prognostic factors by multivariate analysis. CONCLUSION: Only a curative resection can offer long-term survival as well as a survival benefit in patients with a ductal adenocarcinoma of the body and tail of the pancreas. Therefore, a surgical resection should be preferably performed and efforts for a curative resection should be made. However, adjuvant therapy, local and systemic, needs to be further developed because most patients develop a recurrence after the resection.
Adenocarcinoma* ; Biopsy ; Carcinoma, Pancreatic Ductal ; Humans ; Multivariate Analysis ; Neoplasm, Residual ; Pancreas* ; Pancreatectomy ; Prognosis ; Recurrence ; Retrospective Studies ; Survival Rate

no abstract available.

Objectives: This study aimed to examine the characteristics of patients according to their nutritional status as assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 at the Samsung Medical Center were included. We categorized patients into malnourished and normal according to the five nutritional screening tools 1 month after surgery and compared their characteristics. We also calculated the Spearman partial correlation, Cohen’s Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each pair of screening tools. Results: We observed 86.24% malnutrition based on the PG-SGA and 85.82% based on the NUTRISCORE among gastric cancer patients in our study. When we applied NRI or CONUT, however, the malnutrition levels were less than 30%. Patients with malnutrition as assessed by the PG-SGA, NUTRISCORE, or NRI had lower intakes of energy and protein compared to normal patients. When NRI, PNI, or CONUT were used to identify malnutrition, lower levels of albumin, hemoglobin, total lymphocyte count, total cholesterol, and longer postoperative hospital stays were observed among patients with malnutrition compared to those without malnutrition. We found relatively high agreement between PG-SGA and NUTRISCORE; sensitivity was 90.86% and AUC was 0.78. When we compared NRI and PNI, sensitivity was 99.64% and AUC was 0.97. AUC ranged from 0.50 to 0.67 for comparisons between CONUT and each of the other nutritional screening tools. Conclusions Our study suggests that PG-SGA and NRI have a relatively high agreement with the NUTRISCORE and PNI, respectively. Further cohort studies are needed to examine whether the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

Objectives: This study aimed to examine the characteristics of patients according to their nutritional status as assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 at the Samsung Medical Center were included. We categorized patients into malnourished and normal according to the five nutritional screening tools 1 month after surgery and compared their characteristics. We also calculated the Spearman partial correlation, Cohen’s Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each pair of screening tools. Results: We observed 86.24% malnutrition based on the PG-SGA and 85.82% based on the NUTRISCORE among gastric cancer patients in our study. When we applied NRI or CONUT, however, the malnutrition levels were less than 30%. Patients with malnutrition as assessed by the PG-SGA, NUTRISCORE, or NRI had lower intakes of energy and protein compared to normal patients. When NRI, PNI, or CONUT were used to identify malnutrition, lower levels of albumin, hemoglobin, total lymphocyte count, total cholesterol, and longer postoperative hospital stays were observed among patients with malnutrition compared to those without malnutrition. We found relatively high agreement between PG-SGA and NUTRISCORE; sensitivity was 90.86% and AUC was 0.78. When we compared NRI and PNI, sensitivity was 99.64% and AUC was 0.97. AUC ranged from 0.50 to 0.67 for comparisons between CONUT and each of the other nutritional screening tools. Conclusions Our study suggests that PG-SGA and NRI have a relatively high agreement with the NUTRISCORE and PNI, respectively. Further cohort studies are needed to examine whether the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

Objectives: This study examined the characteristics of patients according to nutritional status assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 were included. The patients were categorized into malnutrition and normal status according to five nutritional screening tools one month after surgery. The Spearman partial correlation, Cohen’s Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each two screening tools were calculated. Results: Malnutrition was observed in 86.24% of patients based on the PG-SGA and 85.82% based on the NUTRISCORE. When NRI or CONUT were applied, the proportions of malnutrition were < 30%. Patients with malnutrition had lower intakes of energy and protein than normal patients when assessed using the PG-SGA, NUTRISCORE, or NRI. Lower levels of albumin, hemoglobin, total lymphocyte count, and total cholesterol and longer postoperative hospital stays were observed among patients with malnutrition compared to normal patients when NRI, PNI, or CONUT were applied. Relatively high agreement for NUTRISCORE relative to PG-SGA was found; the sensitivity was 90.86%, and the AUC was 0.78. When NRI, PNI, and CONUT were compared, the sensitivities were 23.72% for PNI relative to NRI, 44.53% for CONUT relative to NRI, and 90.91% for CONUT relative to PNI. The AUCs were 0.95 for NRI relative to PNI and 0.91 for CONUT relative to PNI. Conclusions NUTRISCORE had a high sensitivity compared to PG-SGA, and CONUT had a high sensitivity compared to PNI. NRI had a high specificity compared to PNI. This relatively high sensitivity and specificity resulted in 77.00% agreement between PNI and CONUT and 77.94% agreement between NRI and PNI. Further cohort studies will be needed to determine if the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

PURPOSE: Honeycomb microcystic tumor is typical for SCT, but various SCTs including oligocystic tumor have been frequently reported. We classified SCT morphologically according to the gross and radiologic feature, and we analyzed the clinical features for the subtypes of SCT. We also suggest the guidelines for the differential diagnosis from mucinous cystic tumors (MCT) and the appropriate management. METHODS: This study enrolled 31 patients with SCT and 37 patients with MCT of the pancreas that were treated from Jan. 1992 to Oct. 2003 at Seoul National University Hospital. When the SCTs were classified according to cyst size and multiplicity, 13 were microcystic tumor and 18 were macrocystic tumor. We then compared microcystic SCT with mcrocystic SCT and we also compared macrocystic SCT with MCT. RESULTS: The mean age of patients with SCT was 50 (range: 31~77) and the male : female ratio was 1 : 3. The head : tail ratio was 14 : 18. There was no malignant SCT and no tumor recurrence. There was no difference between the microcystic and macrocystic type tumors according to the patients' age, gender and symptoms, and for the tumors' location and size. But preoperative misdiagnosis occurred 15.4% of the time for the microcystic type and 61.1% of the time for the macrocystic type (p=0.01). When we compared macrocystic SCT with MCT, there was no difference in the patients' age and symptoms, or for the tumors' size and the CA19-9 level in the serum. However, a difference was found for the tumors' location and the patients' gender ratio. There was a difference for the tumor location (p=0.043) and the patients' gender ratio (p=0.082). CONCLUSION: According to morphological features, we could classify SCT into two types (microcystic vs. macrocystic). Microcystic SCT can be accurately diagnosed at the preoperative stage, so conservative treatment and observation is possible. Macrocystic SCT is difficult to differentiate from the other pancreatic cystic tumors with malignant potential, so resection is recommended.
Classification* ; Cystadenoma, Mucinous ; Cystadenoma, Serous ; Diagnosis, Differential ; Diagnostic Errors ; Female ; Head ; Humans ; Male ; Mucins ; Pancreas* ; Pancreatic Cyst ; Pancreatic Neoplasms ; Recurrence ; Seoul

BACKGROUND: Billroth I anastomosis is one of the most common reconstruction methods after distal gastrectomy for gastric cancer. Intracorporeal Billroth I (ICBI) anastomosis and extracorporeal Billroth I (ECBI) anastomosis are widely used in laparoscopic surgery. Here we compared ICBI and ECBI outcomes at a major gastric cancer center. METHODS: We retrospectively analyzed data from 2,284 gastric cancer patients who underwent laparoscopic distal gastrectomy between 2009 and 2017. We divided the subjects into ECBI (n=1,681) and ICBI (n=603) groups, compared the patients’ clinical characteristics and surgical and short-term outcomes, and performed risk factor analyses of postoperative complication development. RESULTS: The ICBI group experienced shorter operation times, less blood loss, and shorter hospital stays than the ECBI group. There were no clinically significant intergroup differences in diet initiation. Changes in white blood cell counts and C-reactive protein levels were similar between groups. Grade II–IV surgical complication rates were 2.7% and 4.0% in the ECBI and ICBI groups, respectively, with no significant intergroup differences. Male sex and a body mass index (BMI) ≥30 were independent risk factors for surgical complication development. In the ECBI group, patients with a BMI ≥30 experienced a significantly higher surgical complication rate than those with a lower BMI, while no such difference was observed in the ICBI group. CONCLUSION: The surgical safety of ICBI was similar to that of ECBI. Although the chosen anastomotic technique was not a risk factor for surgical complications, ECBI was more vulnerable to surgical complications than ICBI in patients with a high BMI (≥30).
Body Mass Index ; C-Reactive Protein ; Diet ; Gastrectomy ; Gastroenterostomy ; Humans ; Intraoperative Complications ; Laparoscopy ; Length of Stay ; Leukocyte Count ; Male ; Postoperative Complications ; Retrospective Studies ; Risk Factors ; Stomach Neoplasms

Purpose: High microsatellite instability (MSI) is related to good prognosis in gastric cancer. We aimed to identify the prognostic factors of patients with recurrent gastric cancer and investigate the role of MSI as a prognostic and predictive biomarker of survival after tumor recurrence. Materials and Methods: This retrospective cohort study enrolled patients treated for stage II/III gastric cancer who developed tumor recurrence and in whom the MSI status or mismatch repair (MMR) status of the tumor was known. MSI status and the expression of MMR proteins were evaluated using polymerase chain reaction and immunohistochemical analysis, respectively. Results: Of the 790 patients included, 64 (8.1%) had high MSI status or MMR deficiency. The tumor-node-metastasis stage, type of recurrence, Lauren classification, chemotherapy after recurrence, and interval to recurrence were independently associated with survival after tumor recurrence. The MSI/MMR status and receiving adjuvant chemotherapy were not associated with survival after recurrence. In a subgroup analysis of patients with high MSI or MMR-deficient gastric cancer, those who did not receive adjuvant chemotherapy had better treatment response to chemotherapy after recurrence than those who received adjuvant chemotherapy. Conclusion Patients with high MSI/MMR-deficient gastric cancer should be spared from adjuvant chemotherapy after surgery, but aggressive chemotherapy after recurrence should be considered. Higher tumor-node-metastasis stage, Lauren classification, interval to recurrence, and type of recurrence are associated with survival after tumor recurrence and should thus be considered when establishing a treatment plan and designing clinical trials targeting recurrent gastric cancer.