• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.1
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• pp.15-21
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• 2010

Previously standardization study for identifying 5 types of pattern identification of stroke patients has been performed and the Korean standard of pattern identification (II) was developed. In the present study we investigated the interactions between total indices designated by the Korean standard of pattern identification(KSPI II) and indices for PI of Cold-Heat and Deficiency-Excess. Indicators for Cold-Heat and Deficiency-Excess are isolated from 58 indices through the survey of oriental medicine doctors and their relationship with KSPI-II indices was analyzed by corresponding analysis method using data of 1581 stroke patients. Means and standard deviations indicated that 2 Cold indices, 14 Heat indices, 12 Deficiency indices, and 5 Excess indices were included for Cold-Heat and Deficiency-Excess pattern identification. The results of corresponding analysis shows the relationship of 57 indices and 4 types of pattern identification (excluding 1 index and 1 pattern among 58 indices and 5 patterns) using the cross-tabulation which was obtained from the clinical data. Most of Cold and Heat index were divided to dimension 1(inertia 51.9%) obtained from the result of corresponding analysis. Deficiency and Excess index were partially associated with dimension 2(inertia 31.7%). These data suggest that pattern identification of Cold-Heat plays an role in the standardization of pattern identification in stroke, although further studies are required by various trials such as analysis of surveys and clinical data.

• Journal of Nutrition and Health
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• v.32 no.8
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• pp.887-896
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• 1999

The purpose of this research is to assess hematological and biochemical status and the prevalence of iron deficiency of pregnant women by gestational age to provide the primary data about iron nutritional status of pregnant women. Pregnant women visiting public health centers in Ulsan participated in study and were divided into 3 trimester by last menstrual period(LMP). Hemoglobin (Hgb), hematocrit(Hct)and mean corpuscular volume(MCV) among iron status indices were not statistically different from normal distribution, however total iron binding capacity(TIBC) and serum ferritin were skewed to left and serum iron and transferrin saturation(TS) were skewed to right. Hgb was positively correlated with Hct(r=0.93, p<0.001) but TIBC was negatively correlated with all indices. Serum ferritin was also correlated with all indices, especially in 3rd trimester but not reached to 1st trimester level. Mean corpuscular hemoglobin(MCH), mean corpuscular hemoglobin concentration(MCHC), Red cell distribution width(RDW), serum iron and TS were not significantly different by trimester, however when serum serum iron was adjusted with hematocrit to correct the hemodilution, it significantly decreased in 2nd trimester. MCV increased in 2nd trimester and was maintained until late pregnancy, TIBC continued to increase throughout the trimester. The prevalence of anemic by CDC(Centers for Disease Control) Hgb criteria(Hgb <11.0g/dl in 1st and 3nd trimester, Hgb<10.5g/dl in 2nd trimester) was 2.8% in 1st trimester, 22.5% in 2nd trimester, 27.1% in 3rd trimester and was similar with prevalence by CDC Hct criteria(Hct < 33% in 1st and 3rd, Hct < 32% in 2nd). The prevalence of anemic of total subjects was 32.7% by WHO criteria(Hgb < 11.0g/dl). Although almost iron status indices increased in 3rd trimester, the prevalence of anemia by different criteria of all indices increased throughout the trimester, so iron nutritional status was considered as serious during late pregnancy. However, since factors other than iron deficiency, such as infection, infection, inflammation, other nutrient deficiency may also play a significant role, to differentiate the anemia due to mainly iron deficiency from the anemia due to other factors, serum ferritin is among the more useful indices in distinguishing the two conditions because it is depressed only in iron deficiency. Hgb<11.0g/dl and serum ferritin<12.0ug/L as the criteria of iron deficiency was suggested by CDC. 17.8% of all subjects were classified as iron deficient anemia, 14.9% as anemic from other reasons, 21.2% as iron deficiency any only 46.2% were in normal iron status.

• Journal of Nutrition and Health
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• v.26 no.6
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• pp.692-702
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• 1993

To evaluate iron nutritional status and to compare biochemical indices used for evaluation of iron nutriture, fasting blood sample was taken from 96 Korean female college student and hemoglobin(Hb) concentration, hematocrit(Hct), serum iron, total iron binding capacity(TIBC) and serum ferritin concentration were measured and transferrin(TF) saturation was calculated. Prevalence of iron deficiency varied from 4.2% when judged from Hb concentration and Hct to 38.5% and 40.6% when TIBC and serum ferritin concentration were used. TIBC was negatively correlated with serum ferritin(r=0.4561, p<0.001), while other indices showed positive but less significant correlations(p<0.05). Regarding iron status judged by serum ferritin was regarded as true iron status, the present cutoff points of Hb, Hct, serum iron, TF saturation were very insensitive in identifying the subjects with iron deficiency. Only TIBC was suitable for detecting iron deficiency in the study subjects. It is concluded from the study results that iron deficiency in young Korean adult women would be significantly underestimated with presently used biochemical measurements except TIBC and new cutoff points of these indices were proposed based on sensitivity, specificity measured prevalence, and positive and negative predictive values.

• Journal of Nutrition and Health
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• v.33 no.5
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• pp.532-539
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• 2000

The purpose of this research is to assess th iron nutritional status of pregnant women and to evaluate the appropriateness of the present cut off levels of hemoglobin(Hgb), hematocrit(Hct) and total iron binding capacity(TIBC) for assessing iron deficiency status. Pregnant women who were visiting public helath centers in Ulsan were interviewed and agreed to attend the study. Blood sample was taken and biochemical analysis of blood was performed. The collected data were classified into 3 trimesters by gestational age and then statistical analysis was performed. The prevalence of anemia in all subjects was 32.3% by WHO criteria(Hgb < 11.0g/dl) and 17.8% of all subjects was iron deficient anemia by CDC criteria(Hgb < 11.0/dl and serum ferritin < 12.0ug/l). Since the iron deficient anemia generally occures at the last stage of iron deficiency, it is not efficient to diagnose and prevent the iron deficient anemia in pregnant women by using the present cut off level of Hgb. Therefore, the new cut off level of iron status indices is necessary for assessing iron deficiency in early pregnancy before manifestation of anemia and for reducing the prevalence of anemia in later pregnancy. For this reason, the present cut off levels of iron status indices were estimated and compared by assessing the iron deficiency judged by serum ferritin level (<12.0ug/l)as true iron deficiency. It follows from the results of this research that present cut off levels of Hgb, Hct and TIBC were very insensitive in identifying the subjection with iron deficiency. The appropriate cut off levels of Hgb were 11.5g/dl for total period of pregnancy, 12.0g/dl for 1st and 3rd trimester, and 11.5g/dl for 2nd trimester. The cut off level of Hct was 34.0% for total period for pregnancy, 35.0% for 1st trimester, and 34.0% for 2nd and 3rd trimester. The cut off level of TIBC was 400ug/dl for total period, 360ug/dl for 1st 2nd trimester, and 450ug/dl for 3rd trimester.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.3
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• pp.318-326
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• 2013

This study was performed to investigate relationship between each pattern identification and heart rate variability(HRV) indices. We analyzed 201 subjects who participated in stroke check up. We classified the subjects into four groups of pattern identifications; Fire-Heat pattern(FH), Yin Deficiency pattern(YD), Qi Deficiency pattern(QD) and Dampness-Phlegm pattern(DP) that based on Korean Standard Pattern Identifications for Stroke-III. We investigated significance of HRV indices between each pattern identification and heart rate variability indices. The total number of the subject group was 201, whereas the groups were divided into four groups; Fire-Heat pattern group(n=47), Yin Deficiency pattern(n=65), Qi Deficiency pattern(n=33), and Dampness-Phlegm pattern(n=56). SDNN, TP, Ln(TP), VLF, Ln(VLF), LF, Ln(LF) and HF were significantly higher in the Fire-Heat pattern(FH) group than other groups of pattern identifications, but there was no differences among the Yin Deficiency group, the Qi Deficiency group and the Dampness-Phlegm group. Ln(HF), LF(NORM), HF(NORM) and LF/HF ratio were significantly higher in the Fire-Heat group than in the Qi Deficiency group. However, there was no significant differences among the Dampness-Phlegm group, the Yin Deficiency group, Fire-Heat group and the Qi Deficiency group. Through this study, we found out some significant relationships between each pattern identification group and HRV indices. The result of this study demonstrates that sympathetic nerve was more active in the Fire-Heat group than other groups.

• Biomedical Science Letters
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• v.17 no.3
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• pp.203-209
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• 2011

Magnesium (Mg) plays an essential role in physiological and metabolic reactions. Recently, there has been an increased interest in the role of Mg deficiency, particularly the relationship between serum Mg value and inflammatory response. This study was designed to determine the relationship between serum Mg deficiency with inflammatory response, electrolytes and hematological alteration over long-term periods. Sixteen male Sprague-Dawley rats were divided into two groups: control (n=8), and Mg deficiency group (MgD group, n=8). Chow and normal water (tap water) were regularly provided to the control group and Mg-depleted chow and third distilled water were regularly provided for 60 days to the MgD group. Body weights, Serum Mg, $K^+$, inorganic phosphorus (IP) and total iron binding capacity (TIBC) levels in the MgD group were lower than those of the control group (P<0.05). Granulocyte fraction and MCV, RDW and PDW levels were higher, whereas lymphocyte fraction, erythrocyte, hemoglobin and MCHC levels were lower in the MgD group than in the control group (P<0.05). MCP-1 and TNF-${\alpha}$ levels in the MgD group were greater than those of the control group (P<0.05). In conclusion, the results of the present study suggest that Mg deficiency over a long-term period had not altered total leukocyte concentration in the blood, but had detrimental effects, including disturbances of electrolytes balance, disturbance of iron indices, potential anemia and elevation of pro-inflammatory cytokine. However, further studies should be performed to determine the relationship between serum Mg deficiency and major organ damage or alteration.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.88-88
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• 2022

Detection of stress responses in crops is important to diagnose crop growth and evaluate yield. Also, the multi-spectral sensor is effectively known to evaluate stress caused by nutrient and moisture in crops or biological agents such as weeds or diseases. Therefore, in this experiment, multispectral images were taken by an unmanned aerial vehicle(UAV) under field condition. The experiment was conducted in the long-term fertilizer field in the National Institute of Crop Science, and experiment area was divided into different status of NPK(Control, N-deficiency, P-deficiency, K-deficiency, Non-fertilizer). Total 11 vegetation indices were created with RGB and NIR reflectance values using python. Variations in nutrient content in plants affect the amount of light reflected or absorbed for each wavelength band. Therefore, the objective of this experiment was to evaluate vegetation indices derived from multispectral reflectance data as input into machine learning algorithm for the classification of nutritional deficiency in rice. RandomForest model was used as a representative ensemble model, and parameters were adjusted through hyperparameter tuning such as RandomSearchCV. As a result, training accuracy was 0.95 and test accuracy was 0.80, and IPCA, NDRE, and EVI were included in the top three indices for feature importance. Also, precision, recall, and f1-score, which are indicators for evaluating the performance of the classification model, showed a distribution of 0.7-0.9 for each class.

• Journal of Nutrition and Health
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• v.32 no.7
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• pp.787-792
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• 1999

The purpose of this study was to estimate the iron availability and to analyze dietary factors which influence hematological indices of 130 female adolescents with iron deficiency anemia. Intakes of iron and other nutrients were estimated using a self-administrated questionnaire combined with the 24-hour recall mehtod and iron availability was calculated by Monsen's method. Mean daily intakes of calorie, protein and vitamin C were 1631.0kcal(77.7% of RDA), 54.7g(84.2% of RDA) and 45.7mg(83.0% of RDA), respectively. In terms of iron, mean daily intake was 8.7mg(48.3% of RDA) and heme iron intake was 3.0mg which correspond to 34% of total iron intake. The amount of total absorbable iron was 1.5mg and the estimated bioavailability of dietary iron was 17.2%. In summary, intake of several nutrients for most of the subjects were under RDA. Dietary factors affecting hematological indices were analyzed by stepwise multiple regression. Intake of vitamin C was a major determinant of Hb level, while both intake of enhancing factor and iron availability were major determinants of serum ferritin level. In conclusion proper nutritional education and guidance for iron deficiency anemic female adoalescent needs to be developed and to improve their iron storage should be increased intakes of enhancing factors, female adoalescents.

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.1
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• pp.149-153
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• 2011

In this study, we structuralized the diagnostic indices used for pattern identification (PI) of stroke, and suggested an AHP method to obtain the weights of PI indices. AHP of the subjects under consistency ratio 0.1 showed that the critical indices for stroke PI consists of 9 for Qi-deficiency, 13 for Phlegm/dampness, 7 for blood stagnation, 12 for Yin-deficiency and 16 for Fire/heat. Furthermore, AHP analysis rendered the weights of indices of each PI that will be useful for oriental medical experts to perform objective PI.

• The Korean Journal of Nuclear Medicine
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• v.10 no.1
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• pp.21-34
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• 1976

The diagnosis of iron deficiency rests upon the correct evaluation of body iron stores. Morphological interpretation of blood film and the red cell indices are not reliable and often absent in mild iron deficiency. Serum iron levels and iron-binding capacity are more sensitive indices of iron deficiency, but they are often normal in iron depletion and mild iron deficiency anemia. They are also subject to many variables which may introduce substantial errors and influenced by many pathologic and physiologic states. Examination of the bone marrow aspirate for stainable iron has been regarded as one of the most sensitive and reliable diagnostic method for detecting iron deficiency, but this also has limitations. Thus, there is still need for a more practical, but sensitive and reliable substitute as a screening test of iron deficiency. Pollack et al. (1965) observed that the intestinal absorption of cobalt was raised in iron-deficient rats and Valberg et al. (1969) found that cobalt absorption was elevated in patients with iron deficiency. A direct correlation was demonstrated between the amounts of radioiron and radiocobalt absorbed. Unlike iron, excess cobalt was excreted by the kidney, the percentage of radioactivity in the urine being directly related to the percentage absorbed from the gastrointestinal tract. Recently a test based on the urinary excretion of an oral dose of $^{57}Co$ has been proposed as a method for detecting iron deficiency. To assess the diagnostic value of urinary cobalt excretion test cobaltous chloride labelled with $1{\mu}Ci\;of\;^{58}Co$ was given by mouth and the percentage of the test dose excreted in the urine was measured by a gamma counter. The mean 24 hour urinary cobalt excretion in control subjects with normal iron stores was 6.1% ($1.9{\sim}15.2%$). Cobalt excretion was markedly increased in patients with iron deficiency and excreted more than 29% of the dose. In contrast, patients with anemia due to causes other than iron deficiency excreted less than 27%. Hence, 24 hour urinary cobalt excretion of 27% or less in a patient with anemia suggets that the primary cause of the anemia is not iron deficiency. A value greater than 27% in an anemic subject suggests that the anemia is caused by iron deficiency. The cobalt excretion test is a simple, sensitive and accurate method for the assessment of body iron stores. It may be particularly valuable in the epidemiological studies of iron deficiency and repeated evaluations of the body iron stores.