Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Various trials have been conducted to develop therapies for serious untreatable diseases. Among these, those using stem cells have shown great promise, and adipose-derived mesenchymal stem cells (ADMSCs) are easier to obtain than other types of stem cells. Prior to clinical trials, characterization of ADMSCs with monoclonal antibodies should be performed. However, it is difficult to use species-specific antibodies for veterinarians. This study was conducted to confirm the panel of human antibodies applicable for use in immunophenotypic characterization of canine adipose-derived stem cells and feline ADMSCs extracted from subcutaneous adipose tissue collected during ovariohysterectomy. For flow cytometric immunophenotyping, the third passages of canine ADMSC and feline ADMSC and human CD31, CD34, CD42, CD44, CD62 and CD133 antibodies were used. Of these, CD133 reacted with canine cells (3.74%) and feline cells (1.34%). CD133 is known as a marker related with more primitive stem cell phenotype than other CD series. Because this human CD133 was not a species-specific antibody, accurate percentages of immunoreactivity were not confirmed. Nevertheless, the results of this study confirmed human CD133 as a meaningful marker in canine and feline ADMSCs.

Various trials have been conducted to develop therapies for serious untreatable diseases. Among these, those using stem cells have shown great promise, and adipose-derived mesenchymal stem cells (ADMSCs) are easier to obtain than other types of stem cells. Prior to clinical trials, characterization of ADMSCs with monoclonal antibodies should be performed. However, it is difficult to use species-specific antibodies for veterinarians. This study was conducted to confirm the panel of human antibodies applicable for use in immunophenotypic characterization of canine adipose-derived stem cells and feline ADMSCs extracted from subcutaneous adipose tissue collected during ovariohysterectomy. For flow cytometric immunophenotyping, the third passages of canine ADMSC and feline ADMSC and human CD31, CD34, CD42, CD44, CD62 and CD133 antibodies were used. Of these, CD133 reacted with canine cells (3.74%) and feline cells (1.34%). CD133 is known as a marker related with more primitive stem cell phenotype than other CD series. Because this human CD133 was not a species-specific antibody, accurate percentages of immunoreactivity were not confirmed. Nevertheless, the results of this study confirmed human CD133 as a meaningful marker in canine and feline ADMSCs.
Animals ; Antibodies ; Antibodies, Monoclonal ; Cats ; Dogs ; Humans ; Immunophenotyping ; Mesenchymal Stromal Cells ; Phenotype ; Stem Cells ; Subcutaneous Fat ; Veterinarians

Lichen sclerosus (LS) refers to a benign, chronic, progressive dermatologic condition that primarily causes anogenital lesions in middle aged women. But LS has been identifi ed in patients of all ages including those in the fi rst years of life. The risk of squamous cell carcinoma of the vulva is 4% to 5% in women with LS, and has been reported to be as high as 7% in some reviews. We recently encountered a case of LS in a post-menopausal woman without hormone therapy. To remind clinicians of the neglected issue of LS, we report a case of LS with literature review.
Carcinoma, Squamous Cell ; Female ; Humans ; Lichen Sclerosus et Atrophicus ; Lichens ; Middle Aged ; Postmenopause ; Vulva

The term rete ovarian cyst has been used mostly in animal pathology. Cysts of the ovarian hilus have been reported in experimental animals, but have not received attention in human beings. In the literature review, most women with these cysts were postmenopausal and the cysts were not malignancy. But, there have been some reports of hormonal imbalance associated with these cysts. This article reports the clinicopatholgical findings of a case of ovarian rete cyst in postmenopausal woman with some literature review.
Animals ; Female ; Humans ; Ovarian Cysts ; Ovary ; Postmenopause

OBJECTIVES: The aim of the present study was to determine the prevalence of osteopenia and osteoporosis in women aged 20 years and older in Gumi province. METHODS: We recruited a total of 2,347 women aged 20 years and older in Gumi province who visited the health care center in Soonchunhyang University Gumi hospital from January 2010 to December 2011. The bone mineral densities in the calcaneus were measured by an ultrasound bone densitometry. Osteoporosis and osteopenia were defined by World Health Organization criteria. Age-specific prevalence of osteoporosis and osteopenia in Gumi province were determined and compared with the prevalence of osteoporosis and osteopenia from other provinces within Korea. The prevalence of each was described by %. RESULTS: Age-specific prevalence of osteoporosis was less than 2% in women younger than 50 years but it rapidly increased in those older than 55 years and up to about 50% in women older than 70 years. The prevalence of osteoporosis in women in Gumi province was lower than that of Kangwon province. However, its results were higher than Jung-up province. In addition, the prevalence of osteoporosis in women in Gumi province was lower than other provinces including: Gang-hwa, Chun-cheon, Chung-ju, Jungnang and Gangseo in Seoul, Korea Health Statistics 2009. CONCLUSION: The age-specific prevalence of osteoporosis in women in Gumi province increased with ages, especially in those older than 55 years. Also, the prevalence of osteoporosis in women in Gumi province was lower than Kangwon and other provinces within Korea as stated by Korea Health Statistics 2009. However, its results were higher than Jung-up province.
Aged ; Bone Density ; Bone Diseases, Metabolic ; Calcaneus ; Delivery of Health Care ; Densitometry ; Female ; Humans ; Korea ; Osteoporosis ; Prevalence ; World Health Organization