Serum is free of cellular components. Because DNA is located in the nuclei or mitochondria of cells, serum could be assumed DNA free. Few previously published case reports to date have used serum for DNA typing. Here, we report on human genotyping via short tandem repeat (STR) analysis using serum as a sample, and discuss problems involved in the process.
DNA Fingerprinting* ; DNA* ; Humans ; Microsatellite Repeats* ; Mitochondria

It is well known that the spatial patterns of basement membrane[BM] components show a close correlation with the morphogenetic process in developing organs during pre- and postnatal period. But little is known about the chronological changes in BM components during the development of thyroid gland. To investigate the correlation of the distribution of BM components with the development of the thyroid gland, immunohistochemical localization of the BM components was performed, using rat fetuses[from 15 to 21 days of gestation] and pups[from 1 to 14 days]. According to the histological features with H.E. staining, prenatal development[El5-21] of the rat thyroid could be divided into 3 representative stages : 1] Undifferentiated primordium of thyroid epithelia, forming cell cords or cell nests [until El5 day]. 2] An intervening stage of cell proliferation with the pattern of lobulation[El6-17 days]. 3] Stage of maturing follicles[El8-21 days]. It could be concluded that differentiation of the thyroid follicle are terminated during the prenatal period and growth in size and number occurs during the first two weeks after birth. By the immunohistochemical localization of laminin[LM], fibronectin[FN], type IV collagen[CIV], the basement membranes investing thyroid follicles could be clearly delineated at 15 days of gestation. Reactivity for LN and CIV associated with BM increased with advancing development, while that of FH was apparently weakened during the 2 weeks after birth. On the other hand immunoreactivity for CIV in the same age group increased, compared to that of previous swage of development. These results indicate that BM components were expressed in distinct spatial patterns with advancing development of thyroid gland. Based on these observations, it could be concluded that these BM components are important determinants in epithelial growth and differentiation during thyroid development.
Animals ; Basement Membrane* ; Cell Proliferation ; Collagen Type IV ; Fibronectins ; Hand ; Humans ; Laminin ; Parturition ; Pregnancy ; Rats* ; Thyroid Gland*

In order to nursing practice of the patient in Oriental medicine, it is suggested that the fundamental recognition of Oriental medicine should be preceded. It is, however, difficult that we comprehend Oriental medicine generally since it is different from Western medicine in the point of th symptom. We have thought that is to be carried out to select and analyze a disease by the sense of Oriental medicine for the establishment of Oriental medical nursing. So we have tried out the analysis of Tae-Yang. In view of the results so far achieved, it has been suggested that Tae-Yang Symptom applies to the first step of Sanghan Yug Kyung Symptom and consists of Palsy, Sanghan, Onbyung, Dropsy, and Congestion. In the Oriental medicine, Tae-yang Symptom is recognized to be concerned with a common cold and the respiratory, renal and hepatic diseases. In the points of Orintal medicine, it is noticed that Tae-Yang Symptom is caused by the wind and cold evil, is related to human resisting force, and is fused with each other. And the treatment of Tae-Yang Symptom is various by the cause and the pathological mechanism. In the points of Western medicine, it is difficult to comprehend that various disease germs revolving each disease are implied by identical symptom. The summary of this study are as follows ; 1. In the outer-caused diseases, so called Tae-Yang Symptom, it is an important index to the patient's resisting force and the type of a disease whether he sweats, chills and the pulse is tense or not. 2. the treatments are various according the body's resisting force and the type of symptoms ; harmonizing Yung & Wee to Weakness of surface, soporifics flourishing of evils, and antifebriles to On-byung. 3. If Tae-Yang Symptom is not cured, it progresses to develop complications ; Dropsy & congestion, the former brings about renal diseases and the latter hepatic diseases. According to the results mentioned above, we have come to the conclusion that the Oriental - medical nursing must emphasis the body's sesiting force and the type of symptoms rather than the name of a disease.
Chills ; Common Cold ; Edema ; Estrogens, Conjugated (USP) ; Humans ; Medicine, East Asian Traditional ; Nursing* ; Paralysis ; Sweat ; Transcutaneous Electric Nerve Stimulation ; Wind

PURPOSE: The purpose of this study was to analyze the current state of home health nursing (HHN) for elders and to provide basic data on policy alternatives for establishing home medical care in the advanced general hospital. METHODS: This study was conducted as a secondary data analysis, using electronic medical record (EMR) data of older patients who received HHN more than once from the S advanced general hospital between January 2016 and December 2018. RESULTS: A total of 1,790 patients received HHN visits, with 22,477 visits being made. The mean age was 76.8±7.3 years old, 96.0% of elders had health insurance and 24.6% had orthopedics problems. Of the 1,168 people who visited emergency rooms, the most frequent symptom was pain (23.4%) and all patients visited the hospital at least once and at most 163 times outpatient care during HHN. Causative diseases were degenerative knee joint osteoarthritis (0.6%), surgery for right knee replacement (4.0%), and for dressings (9.7%) in the HHN service content analysis. CONCLUSION The progress towards an aging society and the introduction of community care are expected to further enhance the need for HHN which should be able to provide comprehensive and continuous visiting health care services to the older patients. The results of this study are expected to help doctors solve problems not solved by HHN, reduce unnecessary emergency room or outpatient visits, and readmission, while at the same time contributing to the improvement of patient quality of life through efficient patient health care.

Breast density is an independent risk factor for breast cancer, although variability exists in measurements. This study sought to evaluate the agreement between radiologists and automated breast density assessment software and assess the impact of breast density measures on breast cancer risk estimates using the Breast Cancer Surveillance Consortium (BCSC) model (v.2). A retrospective database search identified women who had undergone mammography between December 2021 and June 2022. The Breast Imaging Reporting and Data System (BI-RADS) breast composition index assigned by a radiologist (R) was recorded and analyzed using three commercially available software programs (S1, S2, and S3). The agreement rate and Cohen’s kappa (κ) were used to evaluate inter-rater agreements concerning breast density measures. The 5-year risk of invasive breast cancer in women was calculated using the BCSC model (v.2) with breast density inputs from various density estimation methods. Absolute differences in risk between various density measurements were evaluated. Overall, 1,949 women (mean age, 53.2 years) were included. The inter-rater agreement between R, S1, and S2 was 75.0–75.6%, while that between S3 and the others was 60.2%–63.3%. Kappa was substantial between R, S1, and S2 (0.66–0.68), and moderate (0.49–0.50) between S3 and the others. S3 placed fewer women in mammographic density d (14.9%) than R, S1, and S2 (40.5%–44.0%). In BCSC risk assessment (v.2), S3 assessed fewer women with a high 5-year risk of invasive breast cancer than the other methods, resulting in an absolute difference of 0% between R, S1, and S2 in 75.0%–75.6% of cases, whereas the difference between S3 and the other methods occurs in 60.2%–63.3% of cases. Breast density assessment using various methods showed moderate-to-substantial agreement, potentially affecting risk assessments. Precise and consistent breast density measurements may lead to personalized and effective strategies for breast cancer prevention.

Breast density is an independent risk factor for breast cancer, although variability exists in measurements. This study sought to evaluate the agreement between radiologists and automated breast density assessment software and assess the impact of breast density measures on breast cancer risk estimates using the Breast Cancer Surveillance Consortium (BCSC) model (v.2). A retrospective database search identified women who had undergone mammography between December 2021 and June 2022. The Breast Imaging Reporting and Data System (BI-RADS) breast composition index assigned by a radiologist (R) was recorded and analyzed using three commercially available software programs (S1, S2, and S3). The agreement rate and Cohen’s kappa (κ) were used to evaluate inter-rater agreements concerning breast density measures. The 5-year risk of invasive breast cancer in women was calculated using the BCSC model (v.2) with breast density inputs from various density estimation methods. Absolute differences in risk between various density measurements were evaluated. Overall, 1,949 women (mean age, 53.2 years) were included. The inter-rater agreement between R, S1, and S2 was 75.0–75.6%, while that between S3 and the others was 60.2%–63.3%. Kappa was substantial between R, S1, and S2 (0.66–0.68), and moderate (0.49–0.50) between S3 and the others. S3 placed fewer women in mammographic density d (14.9%) than R, S1, and S2 (40.5%–44.0%). In BCSC risk assessment (v.2), S3 assessed fewer women with a high 5-year risk of invasive breast cancer than the other methods, resulting in an absolute difference of 0% between R, S1, and S2 in 75.0%–75.6% of cases, whereas the difference between S3 and the other methods occurs in 60.2%–63.3% of cases. Breast density assessment using various methods showed moderate-to-substantial agreement, potentially affecting risk assessments. Precise and consistent breast density measurements may lead to personalized and effective strategies for breast cancer prevention.