No abstract available.
Prognosis* ; Stomach Neoplasms*

No abstract available.
Hypertension ; Leigh Disease*

PURPOSE: The objective of this study was to assess the supportive needs of breast cancer patients and determine the socio-demographic and clinicopathological predictors of those unmet needs. METHODS: Of 302 eligible breast cancer patients, attending Yonsei University Severance Hospital, 250 completed the surveys. The supportive care needs were assessed by administering a Supportive Care Needs Survey. RESULTS: Of the ten highest perceived needs items, 7 items were related to the health system and information domain and 2 to the psychological domain. The univariate analysis in each domain showed education (P=0.083) and chemotherapy (P=0.042) were significant predictors in the psychological domain; education (0=0.000), time since surgery (P=0.009), node metastasis (0.022), chemotherapy (P=0.001) and radiation therapy (P=0.003) in the physical and daily living domain; age (P=0, 009) and duration of marriage (P= 0.004) for sexuality; node metastasis (P=0.048), TNM stage (P=0.036), and recurrence (P=0.010) in the health system and information domain and religion (P=0.016) in the care and support domain. A multivariate analysis showed age (P=0.0253) and chemotherapy (P=0.0517) as significant independent predictors in the sexuality domain; education (P=0.0010), chemotherapy (P=0.0011), radiation therapy (P= 0.0133) and time since surgery (P=0.036) in the physical and daily living domain; recurrence (P=0.0324) in the health system and information; domain and education (P=0.0134) and chemotherapy (P=0.0207) in psychological domain. CONCLUSION: Breast cancer patients experience high levels of unmet supportive needs across each domain, but especially in the health systems and information domain. Also, the types of needs varied according to the patient subgroups. This study suggests considerable improvements be made in terms of supportive care of breast cancer patients.
Breast Neoplasms* ; Breast* ; Drug Therapy ; Education ; Humans ; Marriage ; Multivariate Analysis ; Neoplasm Metastasis ; Recurrence ; Sexuality

The purpose of this study is to compare the effects of the femoral attachment points of the graft and knee flexion angles at the time of graft fixation on stability of posterior cruciate ligament reconstruction. We analyzed the posterior stability of the knee on 23 patients(24 knees) with posterior cruciate ligament injury whose posterior cruciate ligament had been reconstructed arthroscopically and followed for minimum 1 year period at Asan Medical Center from May 1992 to June 1994. The patients were divided into the two groups according to femoral attachment points of the graft and knee flexion angles at the time of graft fixation. The distance from the junction of the intercondylar notch with trochlear groove of the femoral attachment points and knee flexion angles were 11mm and 0°-30° in group A and 7mm and 70°-90° in group B, respectively. 11 knees were included in group A and 13 knees in group B. Posterior stability was determined by difference in posterior tibial translation between the injured and the opposite knee with Telos device. In group A, 5 cases were at the range of 0-2mm, 3 cases 3-5 mm, 3 cases 6-10mm. In group B, 10 cases were at the range of 0-2mm and 3 cases 3-5mm, respectively. Differences in posterior tibial translation on average were 3.6mm and 1.7mm in group A and B, respectively. Conclusively, arthroscopic postrior cruciate ligament reconstruction with femoral attachment point at 7mm from the junction of interconlylar notch with trochlear groove and 70°
Chungcheongnam-do ; Humans ; Knee ; Ligaments ; Posterior Cruciate Ligament ; Transplants

Objectives: ZZThe aim was to find effective vectorization and classification models to predict a psychiatric diagnosis from text-basedmedical records. Methods: ZZElectronic medical records (n = 494) of present illness were collected retrospectively in inpatient admission notes withthree diagnoses of major depressive disorder, type 1 bipolar disorder, and schizophrenia. Data were split into 400 training data and 94 independentvalidation data. Data were vectorized by two different models such as term frequency-inverse document frequency (TF-IDF)and Doc2vec. Machine learning models for classification including stochastic gradient descent, logistic regression, support vectorclassification, and deep learning (DL) were applied to predict three psychiatric diagnoses. Five-fold cross-validation was used to find aneffective model. Metrics such as accuracy, precision, recall, and F1-score were measured for comparison between the models. Results: ZZFive-fold cross-validation in training data showed DL model with Doc2vec was the most effective model to predict the diagnosis(accuracy = 0.87, F1-score = 0.87). However, these metrics have been reduced in independent test data set with final workingDL models (accuracy = 0.79, F1-score = 0.79), while the model of logistic regression and support vector machine with Doc2vec showedslightly better performance (accuracy = 0.80, F1-score = 0.80) than the DL models with Doc2vec and others with TF-IDF. Conclusions ZZThe current results suggest that the vectorization may have more impact on the performance of classification thanthe machine learning model. However, data set had a number of limitations including small sample size, imbalance among the category,and its generalizability. With this regard, the need for research with multi-sites and large samples is suggested to improve the machinelearning models.

Objectives: ZZThe aim was to find effective vectorization and classification models to predict a psychiatric diagnosis from text-basedmedical records. Methods: ZZElectronic medical records (n = 494) of present illness were collected retrospectively in inpatient admission notes withthree diagnoses of major depressive disorder, type 1 bipolar disorder, and schizophrenia. Data were split into 400 training data and 94 independentvalidation data. Data were vectorized by two different models such as term frequency-inverse document frequency (TF-IDF)and Doc2vec. Machine learning models for classification including stochastic gradient descent, logistic regression, support vectorclassification, and deep learning (DL) were applied to predict three psychiatric diagnoses. Five-fold cross-validation was used to find aneffective model. Metrics such as accuracy, precision, recall, and F1-score were measured for comparison between the models. Results: ZZFive-fold cross-validation in training data showed DL model with Doc2vec was the most effective model to predict the diagnosis(accuracy = 0.87, F1-score = 0.87). However, these metrics have been reduced in independent test data set with final workingDL models (accuracy = 0.79, F1-score = 0.79), while the model of logistic regression and support vector machine with Doc2vec showedslightly better performance (accuracy = 0.80, F1-score = 0.80) than the DL models with Doc2vec and others with TF-IDF. Conclusions ZZThe current results suggest that the vectorization may have more impact on the performance of classification thanthe machine learning model. However, data set had a number of limitations including small sample size, imbalance among the category,and its generalizability. With this regard, the need for research with multi-sites and large samples is suggested to improve the machinelearning models.

It is now well established that acute subarachnoid hemorrhage secondary to rupture of a cerebral aneurysm can precipitate life-threatening cardiac arrhythmia. We experienced a 60 year old patient with a subarachnoid hemorrhage (neurologic grade III) due to rupture of anterior communicating artery aneurysm who presented with such intraoperative electrocardiographic changes as ST segment elevation and T wave inversion which are hallmark of acute myocardial infarction. The operation was uneventfully ended. On the postoperative laboratory examination about suspected acute myocardial infarction, the patient was found to have normal triple enzyme study and echocardiographic finding. The electrocardiogram three days after subarachnoid hemorrhage due to cerebral aneurysm returned to normal sinus rhythm. This case suggests that this patient's electrocardiographic change simulating acute myocardial infarction is transient change due to subarachnoid hemorrhage.
Arrhythmias, Cardiac ; Echocardiography ; Electrocardiography* ; Humans ; Intracranial Aneurysm ; Middle Aged ; Myocardial Infarction* ; Rupture ; Subarachnoid Hemorrhage*

A prospective study was conducted to evaluate the effect of length of scleral tunnel incision on postoperative intraocular pressure(IOP)after sutureless phacoemulsification and intraocular lens implantation in otherwise normal cataract patients. IOPs were measured preoperatively and postoperatively at 6 hour, 1 day, 3 days, 1 week, 2 weeks, 1 month, 3 months and 6 months respectively. A total 130 patients(141eyes) completed 6 months follow-up period and were divided into group 1 (3.5mm group, 74 eyes of 69 patients)and group 2(6.0mm group, 67 eyes of 61 patients) according to the length of scleral tunnel incision. A mean preoperative IOP was 14.0mmHg and increase of IOP was noted to 3.1mmHg compared to preoperative value but decreased after 1 day and maintained up to 6 month postoperatively. At 6 months mean IOP was 12.7mmHg and IOP decrease of 1.3mmHg was noticed compared to preoperative value. There were no statistically significant differences in mean IOP between groups during follow-up periods (p<0.05). Number of cases with IOP rise over 22mmHg was 11(14.8%) in group 1 and 11 (6.4%) in group 2 at 6 hour postoperatively but reduced to 3(2.1%). At 6 months no case showed IOP over 22mmHg. This study revealed that the length of scleral tunnel incision did not affect the degree and frequency of postoperative IOP rise fter sutureless cataract surgery.
Cataract* ; Follow-Up Studies ; Humans ; Intraocular Pressure* ; Lens Implantation, Intraocular ; Phacoemulsification ; Prospective Studies

Confirmation of patency of the portal vein by either ultrasound or angiography is important for evaluating patients considered for living-related liver transplant(LRLT) and liver resection(LR). Portal vein thrombosis(PVT) in LRLT necessitates planning for a technically difficult operation because consideration must be given to obtaining an alternative for splanchnic inflow. When performing LR for hepatocellular carcinoma(HCC), portal vein tumor thrombus was usually thought of as a poor prognositic factor for tumor recurrence. Recently, we experienced two cases of pseudo-obstruction of the portal vein, one in LRLT and the other in LR. In the case of LRLT, a 16-month-old female patient was diagnosed as congenital biliary atresia. PVT had been preoperatively suggested, but the vein was actually open. The patient was successfully transplanted using the left lateral segment of the donor with ordinary portal vein anastomosis and the postoperative course was uneventful except for mild acute rejection episodes. In the case of LR, a 60-year-old male patient presented with incidental symptoms. Preoperative ultrasonography, computed tomography, and angiography showed a 9x8cm-sized mass in the right lobe of the liver with obstruction of the right portal vein, which suggested tumor thrombus. However, the operation disclosed the patency of the portal vein and a right lobectomy was subsequently done. Because of the scanty blood flow of the portal vein due to arterio-portal shunt, PVT was preoperatively suggested. Our experience indicates that more sophisticated image studies are needed for evaluating portal vein patency in the patient who needs hepatic transplant as well as liver resection, and that the surgeon should not hesitate to procede to operative procedures even though conventional studies suggest PVT.
Angiography ; Biliary Atresia ; Female ; Humans ; Infant ; Liver Transplantation* ; Liver* ; Male ; Middle Aged ; Portal Vein* ; Recurrence ; Surgical Procedures, Operative ; Thrombosis ; Tissue Donors ; Ultrasonography ; Veins

Presented a 39 year old man of cerebral malaria and pertinent literature were reviewed briefly. The patient was admitted because of fever and drowsy mental state. On admission, there were mild icteric sclerae and hepatomegaly. Brain C-T scan was normal. The cerebrospinal fluid study showed increased pressure (280 mmH20), and protein content (150 mg/dl) with mild pleocytosis. The EEG revealed diffuse delta waves throughout the head. At the 3rd hospital day, the patient was rapidly deteriorated to comatous state showing marked hyperbilirubinemia, thrombocytopenia and bleeding tendency and expired. Numerous plasmodium falciparum parasites were revealed in the peripheral blood smear.
Adult ; Brain ; Cerebrospinal Fluid ; Electroencephalography ; Fever ; Head ; Hemorrhage ; Hepatomegaly ; Humans ; Hyperbilirubinemia ; Leukocytosis ; Malaria, Cerebral* ; Parasites ; Plasmodium falciparum ; Sclera ; Thrombocytopenia