Revista da Associacao Medica Brasileira (1992)最新文献

Objective: Sudden cardiac death or arrest describes an unexpected cardiac cause-related death or arrest that occurs rapidly out of the hospital or in the emergency room. This study aimed to reveal the relationship between coronary angiographic findings and cardiac death secondary to acute ST-elevation myocardial infarction.

Materials and methods: Patients presenting with acute ST-elevation myocardial infarction complicated with cardiac arrest were included in the study. The severity of coronary artery disease, coronary chronic total occlusion, coronary collateral circulation, and blood flow in the infarct-related artery were recorded. Patients were divided into two groups, namely, deaths secondary to cardiac arrest and survivors of cardiac arrest.

Results: A total of 161 cardiac deaths and 42 survivors of cardiac arrest were included. The most frequent (46.3%) location of the culprit lesion was on the proximal left anterior descending artery. The left-dominant coronary circulation was 59.1%. There was a difference in the SYNTAX score (16.3±3.8 vs. 13.6±1.9; p=0.03) and the presence of chronic total occlusion (19.2 vs. 0%; p=0.02) between survivors and cardiac deaths. A high SYNTAX score (OR: 0.38, 95%CI: 0.27-0.53, p<0.01) was determined as an independent predictor of death secondary to cardiac arrest.

Conclusion: The chronic total occlusion presence and SYNTAX score may predict death after cardiac arrest secondary to ST-elevation myocardial infarction.

Aim: The research aimed to determine the attitudes of students studying in health-related departments toward sexual myths and the factors affecting them.

Methods: The study is descriptive research involving 287 students enrolled in health-related departments. The data were collected using a "Descriptive Information Form" and the "Sexual Myths Scale (SMS)" and analyzed using the SPSS 22.0 software package. The SPSS 22.0 package program was used to evaluate the data. In statistical analysis, Spearman correlation analysis was employed to determine the relationship between continuous variables and the SMS score, and the statistical significance level was accepted as p<0.05.

Results: The total score was found to be 53.57±17.54 (min: 28.00 to max: 140.00), reflecting a moderate level. There was a statistically significant difference between the total score of SMS according to gender, family type, maternal employment status, and paternal education level (p<0.05). It was also determined that male students, students whose mothers were unemployed, who lived in extended families, and whose fathers had low education had lower SMS scores.

Conclusion: Despite students studying in health-related departments and receiving relevant courses, their level of sexual myths remains at a moderate level, indicating the presence of knowledge gaps and misconceptions in the subject matter. Therefore, it is crucial to implement comprehensive education and counseling services on reproductive and sexual health for all university students.

Objective: In the hepatitis C virus (HCV) diagnostic algorithm, an anti-HCV screening test is recommended first. In countries with low HCV prevalence, anti-HCV testing can often give false-positive results. This may lead to unnecessary retesting, increased costs, and psychological stress for patients.

Methods: In this study, the most appropriate S/Co (signal-cutoff) value to predict HCV viremia in anti-HCV test(+) individuals was determined, and the effect of genotype differences was evaluated. Of the 96,515 anti-HCV tests performed between 2020 and 2023, 934 were reactive. A total of 332 retests and 65 patients without HCV-ribonucleic acid (RNA) analysis were excluded. Demographic data were calculated for 537 patients, and 130 patients were included in the study.

Results: The average age of 537 patients was 55±18 years, and 57.1% were women. The anti-HCV positivity rate was 0.62% (602/96,515), and the actual anti-HCV positivity rate was 0.13% (130/96,515). Anti-HCV levels were higher in HCV-RNA(+) patients than in HCV-RNA-negative individuals (p<0.0001) (Table 1). Receiver operating characteristic curve analysis identified the optimal S/Co value to be 10.86 to identify true positive cases. Sensitivity was 96.1%, specificity was 61.2%, positive predictive value (PPV) was 44.2%, and negative predictive value (NPV) was 98% (Figure 2). A total of 107 (82.3%) of the patients were identified as GT1, and the most common subtype was GT1b (n=100).

Conclusion: If anti-HCV S/Co is ≥10.86, direct HCV RNA testing may be recommended; However, the possibility of false positivity should be considered in patients with a S/Co value below 10.86.

Objective: Stroke is a chronic health problem that affects all areas of life. The presence of thyroid autoantibodies can augment the severity of stroke. The aim of this work is to investigate whether there is a relationship between the site of stroke involvement and the anti-thyroid peroxidase antibody (anti-TPO) or not. This is the first study in the English-language literature.

Methods: A total of 39 patients with a diagnosis of acute ischemic stroke were included, and the cases under 18 years of age with an infection and the ones with autoimmune diseases other than Hashimoto's thyroiditis were excluded from the study design. The patients' age, gender, smoking status, comorbid conditions, and stroke localization in brain imaging were recorded. The region involving the anterior circulation area originating from the internal carotid artery was evaluated as anterior, and the region possessing the vertebrobasilar circulation area from the vertebral arteries was considered posterior involvement. Thyroid-stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), triglyceride, high-density lipoprotein (HDL), low-density lipoprotein (LDL), C-reactive protein (CRP), sedimentation, and anti-TPO were retrospectively analyzed.

Results: As a consequence, gender distribution, smoking, comorbid conditions, TSH, T3, T4, triglyceride, HDL, LDL, CRP, and sedimentation did not differ significantly, while the age of the posterior-located stroke was lower than that of the cases with the anterior. The anti-TPO value was significantly lower in posterior-located strokes than in the anterior system.

Conclusion: In summary, the anti-TPO value was recognized as higher in the anterior stroke localization. Thyroiditis and accompanying anti-TPO autoantibody positivity are conditions that should not be ignored by thyroidologists and thyroid-health providers.

Objective: The aim of this study was to investigate whether there is a difference in serum nitric oxide levels between patients who return spontaneously after cardiopulmonary resuscitation and those who do not. We also examined the potential of using serum nitric oxide levels as a marker to make an accurate decision about patient survival.

Methods: We included 100 consecutive patients who were brought to the emergency clinic due to cardiac arrest. Blood samples were taken from these patients at admission, 30 min after admission, and when resuscitation was terminated.

Results: We found that there was a significant difference in NO1 and NO3 values between the group of patients who did not return after cardiopulmonary resuscitation and the group in which spontaneous circulation returned. The NO1 value was significant in the receiver operating characteristic (ROC) analysis, while the NO3 value was not. A higher NO1 value provided a higher rate of survival.

Conclusion: Our findings suggest that nitric oxide may be a useful parameter to support the decision about patient survival. A higher NO1 value is associated with a better prognosis and survival rate. Therefore, serum nitric oxide levels may be a suitable indicator to support the decision-making process regarding patient survival.

Objective: The primary objective was to assess the diagnostic accuracy of a deep learning-based artificial intelligence model for the detection of acute appendicular fractures in pediatric patients presenting with a recent history of trauma to the emergency department. The secondary goal was to examine the effect of assistive support on the emergency doctor's ability to detect fractures.

Methods: The dataset was 5,150 radiographs of which 850 showed fractures, while 4,300 radiographs did not show any fractures. The process utilized 4,532 (88%) radiographs, inclusive of both fractured and non-fractured radiographs, in the training phase. Subsequently, 412 (8%) radiographs were appraised during validation, and 206 (4%) were set apart for the testing phase. With and without artificial intelligence assistance, the emergency doctor reviewed another set of 2,000 radiographs (400 fractures and 600 non-fractures each) for labeling in the second test.

Results: The artificial intelligence model showed a mean average precision 50 of 89%, a specificity of 92%, a sensitivity of 90%, and an F1 score of 90%. The confusion matrix revealed that the model trained with artificial intelligence achieved accuracies of 93 and 95% in detecting fractures, respectively. Artificial intelligence assistance improved the reading sensitivity from 93.7% (without assistance) to 97.0% (with assistance) and the reading accuracy from 88% (without assistance) to 94.9% (with assistance).

Conclusion: A deep learning-based artificial intelligence model has proven to be highly effective in detecting fractures in pediatric patients, enhancing the diagnostic capabilities of emergency doctors through assistive support.