No abstract available.
Animals ; Linoleic Acid* ; Macrophages, Peritoneal* ; Mice*

Arotinolol, a now alpha and beta bloking agent, was administered orally in 32 hypertensive patients for 8 weeks in order to evaluate the antihypertensive effects and side effects. The doses were from 20mg to 30mg a day. The serum chemistries and chest X-ray were taken before and after Arotinolol administration. The results were as follows; 1) Blood pressure which was measured in sitting, supine and standing position was 176.37+/-4.73/116.54+/-4.34, 170.14+/-5.35/103.12+/-3.67, 156.37+/-7.54/104.31+/-3.34mmHg in control and 144.63+/-2.78/94.41+/-2.87, 146.47+/-5.41/89.12+/-4.34, 140.71+/-4.47/89.73+/-3.71mmHg in the treatment group. The differences between both blood pressure were statistically significant(P<0.001). 2) There was no significant change in pulse rate before and after medication. 3) There was no significant change in the laboratory findings such as CTR, GOT, GPT, alkaline phosphatase, CPK, creatinine, BUN, uric acid, cholesterol, fasting blood sugar and triglyceride before and after treatment. 4) The side effects of arotinolol were observed in 6 of 32 cases(18.7%), which were not required discontinuing the medication or decreasing the dose.
Alkaline Phosphatase ; Blood Glucose ; Blood Pressure ; Cholesterol ; Creatinine ; Fasting ; Heart Rate ; Humans ; Hypertension ; Thorax ; Triglycerides ; Uric Acid

BACKGROUND: The goal of this study is to identify the factors that predict mortality in elderly trauma patients. METHOD: We reviewed retrospectively the medical record of 144 cases of geriatric trauma admitted to Kyungpook National University Hospital firm January 1998 to December 1998. We evaluated the general characteristics, mechanisms of injury, Revised Trauma Score(RTS), Injury Severity Score(ISS), Probability of survival(Ps) by TRISS(Trauma and Injury Severity Score) method, amount of blood transfused, preexisting disease, complications, length of stay, and mortality. RESULTS: 1. The mean age was 75.39+/-7.89 years old, and male to female ratio was 0.89 : 1. 2. The mechanisms of injury were primarily frills(56.3%) followed by bicycle or motorcycle(13.9%), and pedestrian injuries(13.2%) and motor vehicle accidents(6.9%). 3. The mean Glasgow Coma Scale(GCS), RTS and ISS ate 13.3+/-3.5, 7.2+/-1.4 and 14.2 +/-11.6 respectively. 4. The actual mortality rate was 18.1% (26/144). But by TRISS method, predicted mortality rate was 9.3%(12.5/144), excess mortality rate was 108% and Z score was 3.99 indicating that actual number of death exceed predicted number of death. 5. Between the survivors and nonsurvivors, the insults were significantly different as follows ; systolic blood pressure(141.9+/-28.3 vs. 116.8+/-48.7 mmHg), GCS(14.3+/-2.0 vs. 9.0 +/-5.1), RTS(7.8+/-0.7 vs 5.4+/-2.3), ISS(11.3+/-5.6 vs 27.2+/-20.2), Ps by TRISS(0.97+/-0.06 vs 0.65+/-0.37), preexisting diseases(50.8 vs 69.8%). CONCLUSION: Geriatric patients are more likely to die after trauma than other age groups. The cause of higher actual mortality rate compared to predicted mortality rate was considered as the higher incidence of delayed death due to sepsis or multiple organ failure. In order to reduce the mortality, even with relatively stable initial vile sign, invasive hemodynamic monitoring and intensive treatment are recommended and also, prevention and treatment of nosocomial infection are very important.
Aged ; Coma ; Cross Infection ; Female ; Gyeongsangbuk-do ; Hemodynamics ; Humans ; Incidence ; Length of Stay ; Male ; Medical Records ; Mortality* ; Motor Vehicles ; Multiple Organ Failure ; Preexisting Condition Coverage ; Retrospective Studies ; Sepsis ; Survivors

OBJECTIVE: This study was to examine the effects of DRD2 TaqI A polymorphism on the smoking in Koreans. Also this study examined molecular heterosis and gender difference in the genetic effect of cigarette smoking. METHODS: DRD2 TaqI A RFLP genotyping was carried out with DNA extracted from blood samples of 187 healthy individuals including 94 smokers and 93 non-smokers, RESULTS: Among the total subjects, the smokers were not significantly different from the non-smokers in respect to the frequency and prevalence of A1 allele, the genotype distribution, or the frequency of heterozygotes. Separating the subjects by gender, however, in male subjects smokers showed a significantly higher frequency (p=0.049) and prevalence of A1 allele (p=0.016) than non-smokers. Also, genotype distribution (p=0.055) and frequency of heterozygotes (p=0.058) of smokers showed some different distributions, but there were no significant statistical difference. In contrast, female subjects showed significant difference between smokers and non-smokers in the comparison of frequency of heterozygotes (p=0.018), but not in the comparison of the frequency (p=0.582) and prevalence (p=0.082) of A1 allele and genotype distribution (p=0.060). CONCLUSION: No significant difference between smokers and non-smokers in the genotype distributions of the total sample could be explained by the reciprocal effects of gender difference in the genetic effect of DRD2 A1 allele of the smoking. Our findings support gender difference and molecular heterosis at the DRD2 gene effects of smoking.
Alleles ; DNA ; Dopamine* ; Female ; Genotype ; Heterozygote ; Humans ; Hybrid Vigor ; Male ; Polymorphism, Restriction Fragment Length ; Prevalence ; Receptors, Dopamine D2* ; Smoke ; Smoking* ; Tobacco Products*

Thirteen patients were operated for cubital tunnel syndrome and followed for an average of 26 months postoperatively. Ten patients had a history of relevant trauma and three patients had degenerative osteoarthritis of the elbow. The average duration of symptoms was 18 months (range, 2 to 96 months). Diagnosis was made by physical examination, electromyography and nerve conduction study. Among these, nerve conduction study was found to be the most valuable diagnostic method for the patients with atypical clinical findings. Most of the operations were performed by anterior transposition of the ulnar nerve. At the most recent follow-up, the result was excellent in two patients, good in eight, and fair in three; thus ten patients(77%) showed satisfactory results. The rating system for ulnar neuropathy based on sensory, motor dysfunction and pain was useful for evaluating the operative results. The postoperative gain of score for pain and sensory function were larger than that of motor function. Factors known to influence the result of the operation (age, duration of symptom, history of trauma, method of operation) did not effect the outcome in this study. For successful operation, the ulnar nerve must be thoroughly examined, all possible levels of compression must be released and new foci of compression must be created.
Cubital Tunnel Syndrome ; Diagnosis ; Elbow ; Electromyography ; Follow-Up Studies ; Humans ; Methods ; Neural Conduction ; Osteoarthritis ; Physical Examination ; Sensation ; Ulnar Nerve ; Ulnar Neuropathies

Purpose: This study aimed to present a novel method for estimating the effective atomic number(Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy andstreamline clinical workflows by reducing computational complexity. Methods: The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively capturescomplex variations in attenuation, enabling precise Zeff estimation. Model fitting was performedusing dual-energy data and evaluated using the percentage difference in error rates. Results: Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlightingits precision. Zeff estimates for various materials closely matched the reference values, confirmingthe improved accuracy of the model. Conclusions The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.

Purpose: This study aimed to present a novel method for estimating the effective atomic number(Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy andstreamline clinical workflows by reducing computational complexity. Methods: The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively capturescomplex variations in attenuation, enabling precise Zeff estimation. Model fitting was performedusing dual-energy data and evaluated using the percentage difference in error rates. Results: Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlightingits precision. Zeff estimates for various materials closely matched the reference values, confirmingthe improved accuracy of the model. Conclusions The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.

Purpose: This study aimed to present a novel method for estimating the effective atomic number(Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy andstreamline clinical workflows by reducing computational complexity. Methods: The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively capturescomplex variations in attenuation, enabling precise Zeff estimation. Model fitting was performedusing dual-energy data and evaluated using the percentage difference in error rates. Results: Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlightingits precision. Zeff estimates for various materials closely matched the reference values, confirmingthe improved accuracy of the model. Conclusions The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.

Purpose: This study aimed to present a novel method for estimating the effective atomic number(Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy andstreamline clinical workflows by reducing computational complexity. Methods: The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively capturescomplex variations in attenuation, enabling precise Zeff estimation. Model fitting was performedusing dual-energy data and evaluated using the percentage difference in error rates. Results: Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlightingits precision. Zeff estimates for various materials closely matched the reference values, confirmingthe improved accuracy of the model. Conclusions The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.

Purpose: This study aimed to present a novel method for estimating the effective atomic number(Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy andstreamline clinical workflows by reducing computational complexity. Methods: The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively capturescomplex variations in attenuation, enabling precise Zeff estimation. Model fitting was performedusing dual-energy data and evaluated using the percentage difference in error rates. Results: Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlightingits precision. Zeff estimates for various materials closely matched the reference values, confirmingthe improved accuracy of the model. Conclusions The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.