Revista da Associacao Medica Brasileira (1992)最新文献

Objective: Large cell neuroendocrine carcinoma of the lung is a rare type of lung cancer. There is a limited number of studies on clinical and histopathological characteristics that are effective in survival. The aim of this study was to investigate the relationship between histopathological and clinical characteristics, mainly Ki-67 proliferation index, and survival in patients diagnosed with large cell neuroendocrine carcinoma of the lung.

Methods: The data of 38 patients followed up with the diagnosis of large cell neuroendocrine carcinoma of the lung were evaluated. The mean Ki-67 value was determined to be 65.8% (±20.8). The patients' clinical characteristics and survival times were compared according to the cut-off value determined for Ki-67 index.

Results: When median overall survival times were compared, it was seen that overall survival was numerically lower in patients aged 65 years and over, in tumors located on the right side, in cases who were in the metastatic stage at diagnosis, whose Ki-67 index was 65% and above, who did not receive chemotherapy, who did not undergo curative surgery, and in patients with chronic diseases (p>0.05). In the Kaplan-Meier analysis, the median overall survival was determined to be 22.2 months (95%CI 21.7-22.7) in the patients with Ki-67<65%, while it was found to be 20.3 months (95%CI 4.5-36.2) in the patients with Ki-67≥65% (p=0.351).

Conclusion: Our study identified subgroups with decreased survival in large cell neuroendocrine carcinoma of lung patients. Studies including a larger number of patients are needed to identify the prognostic importance of these clinical and histopathological characteristics.

Objective: Our research objective was to validate and contribute further evidence to the studies regarding large for gestational age and birthweight percentile by examining oral glucose tolerance test and glycosylated hemoglobin levels in both healthy women and those with gestational diabetes mellitus.

Methods: This retrospective cohort study was conducted at a tertiary care hospital involving 106 women who delivered at gestational week 36 or later between February 2022 and February 2023. Maternal, obstetric, and neonatal data were collected from the participant's medical records. Large for gestational age and non-large for gestational age groups were compared. Correlation analysis was used to determine associations among oral glucose tolerance test, glycosylated hemoglobin levels, and the birthweight percentile.

Results: Mothers of neonates in the large for gestational age category had higher body mass indexes before pregnancy (p=0.002) and delivery (p=0.003), as well as a higher incidence of gestational diabetes mellitus (p=0.027). Mothers of male large for gestational age infants had higher fasting plasma glucose and glycosylated hemoglobin levels compared to male non-large for gestational age infants (p=0.007 and p=0.004, respectively). There was a weak positive correlation between fasting plasma glucose levels and birthweight percentile in the overall group (r=0.342, p<0.006). Further analysis by gender showed a weak positive correlation between birthweight percentile and fasting plasma glucose and glycosylated hemoglobin values in male newborns (r=0.393, p=0.004 and r=0.373, p=0.006, respectively).

Conclusion: Our study has established a clear association between the birthweight percentile in male infants and the levels of glycosylated hemoglobin and fasting plasma glucose measured during oral glucose tolerance test. It is imperative to devise potential strategies aimed at achieving optimal glycosylated hemoglobin and fasting plasma glucose parameters to effectively reduce the frequency of large for gestational age in male infants.

Objective: Endometriosis is a disease in which stromal cells and endometrial glands extend outside of the uterine cavity. Nevertheless, treatment failure and recurrence cause difficulties in management. This study aimed to evaluate the receptor-level components of bilateral endometriomas in the recurrence state.

Methods: Our retrospective cohort study was conducted with patients who underwent surgery for bilateral endometriomas between 2015 and 2021. In total, 113 patients were allocated. A total of 76 patients did not meet the eligibility criteria, and the data of 37 patients were evaluated. Medical treatments, recurrences, and postoperative follow-up data were collected. In archived tissue samples, measurements of progesterone receptor A and progesterone receptor B, histoscores and immunoreactivity scores, and their ratios were calculated in the group that received no postoperative medical treatment. Criteria for recurrence were a repeat operation and/or the detection of a new endometrioma>2 cm at the follow-up examination.

Results: No recurrence was observed in 73.0% (n=27) of the cases, whereas recurrence was observed in 27.0% (n=10) of the participants. Patients without recurrence had significantly higher progesterone receptor B histoscore/progesterone receptor A histoscore and progesterone receptor B immunoreactivity score/progesterone receptor A immunoreactivity score results (p=0.01). Nevertheless, when the histoscores and immunoreactivity scores for both receptors were contrasted separately, there was no appreciable difference between them.

Conclusion: The dominance of progesterone receptor B over progesterone receptor A was inversely proportional to the recurrence status in bilateral endometriomas. Furthermore, our study revealed that assessing receptor levels alone did not result in a significant difference in recurrence.

Objective: Osteoporosis, defined as a systemic skeletal disease, is characterized by increased bone fragility and fracture risk. Studies have shown that dysregulation of the functions of miRNAs or the mechanisms they mediate may be an important pathological factor in bone degeneration. Therefore, the aim of the study was to determine the role of miRNAs, which are thought to play a role in bone metabolism, in osteoporosis.

Methods: The study included 48 patients who were diagnosed with osteoporosis according to the results of a bone mineral density assessment by quantitative computed tomography and 36 healthy individuals. MiRNAs from plasma samples obtained from blood samples taken into ethylenediaminetetraacetic acid (EDTA) tubes were isolated with the miRNA isolation kit and converted to cDNA. Expression analysis of miR-21-5p, miR-34a-5p, miR-210, miR-122-5p, miR-125b-5p, miR-133a, miR-143-3p, miR-146a, miR-155-5p, and miR-223 was performed on the real-time PCR (RT-PCR) device.

Results: When miRNA expression levels in the patient group were compared with the control group, all miRNAs were found to be downregulated in the patients. When fold changes in expression levels in the patient group were examined, significant differences were found in miR-21-5p, miR-133a, mir143-3p, miR-210, and miR-223. In the receiver operating curve analysis, area under the curve=0.882 for the combination of miR-34, miR-125, miR-133, and miR-210.

Conclusion: In this study, it was determined that the combined effects of miRNAs, as well as their single effects, were effective in the development of osteoporosis. Therefore, a miRNA panel to be created can make a significant contribution to the development of novel diagnostic and treatment approaches for this disease.

Objective: The study used machine learning models to predict the clinical outcome with various attributes or when the models chose features based on their algorithms.

Methods: Patients who presented to an orthopedic outpatient department with joint swelling or myalgia were included in the study. A proforma collected clinical information on age, gender, uric acid, C-reactive protein, and complete blood count/liver function test/renal function test parameters. Machine learning decision models (Random Forest and Gradient Boosted) were evaluated with the selected features/attributes. To categorize input data into outputs of indications of joint discomfort, multilayer perceptron and radial basis function-neural networks were used.

Results: The random forest decision model outperformed with 97% accuracy and minimum errors to anticipate joint pain from input attributes. For predicted classifications, the multilayer perceptron fared better with an accuracy of 98% as compared to the radial basis function. Multilayer perceptron achieved the following normalized relevance: 100% (uric acid), 10.3% (creatinine), 9.8% (AST), 5.4% (lymphocytes), and 5% (C-reactive protein) for having joint pain. Uric acid has the highest normalized relevance for predicting joint pain.

Conclusion: The earliest artificial intelligence-based detection of joint pain will aid in the prevention of more serious orthopedic complications.

Introduction: Improving survival is the objective of intensive care units. Various factors affect long-term outcomes. The objective was to explore survival and the associated factors 1 year after admission to the intensive care unit.

Method: This is an observational, descriptive, and analytical study in a retrospective cohort of adults admitted to an intensive care unit at a regional hospital during the first semester of 2022. Records of 218 patients from an anonymized database were analyzed.

Results: The average age was 61 years, and the average APACHE II score was 15 points (24% expected mortality). Survival 1 year after admission was 57.8%. Factors associated with 1-year survival in the Cox regression model were age and APACHE II. The univariate analysis showed that the cancer was significantly associated with lethality after 1 year (OR 10.55; 95%CI 1.99-55.76).

Conclusion: One-year survival after intensive care unit decreases by 16.1%. Factors that significantly reduced survival were old age, severity, and oncologic cause at admission.

Objective: The aim of this study was to determine the effects of seasons (winter vs. summer) on oocyte quality in infertile women undergoing ovulation induction for in vitro fertilization.

Methods: This retrospective cross-sectional study assessed 155 cycles of in vitro fertilization-induced ovulation in women, with 71 and 84 cycles occurring in the summer and winter, respectively. Oocytes were evaluated for quality, with 788 and 713 assessed during summer and winter, and classified according to Nikiforov's categories: (a) category I, good quality; (b) category 2, medium quality; and (c) category 3, low quality.

Results: Thickened zona pellucida (p<0.001), increased perivitelline space (p<0.001), oocyte shape abnormalities (p=0.01), and the presence of refractile bodies (p<0.0001) were more frequent in the summer cycles, whereas cytoplasmic granularity (p<0.001) was more frequent in the winter cycles. In winter, we observed a higher frequency of category 3 (p<0.001) and category 2 (p<0.001) oocytes and a lower frequency of category 1 (p<0.001) oocytes.

Conclusion: Oocyte dysmorphisms were found in 70-80% of cases and were more common in winter. The main features include a thickened zona pellucida, enlarged perivitelline space, irregular shape, and cytoplasmic granularity. This implies better-quality oocytes in the summer than in the winter. However, retrospective studies have limitations due to data collection biases and potential confounding variables such as diet and exercise. Future research is needed to confirm these findings and explore the underlying mechanisms.