Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 69.929
Filtrar
1.
Comput Biol Med ; 146: 105711, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-35701253

RESUMO

PURPOSE: To establish and verify a novel radiation resistance related index for predicting biochemical recurrence and tumor immune environment in prostate cancer (PCa) patients. MATERIALS AND METHODS: The transcriptome information of PCa were obtained from GEO and TCGA portal. We identified radiation resistance related genes (RRGs) between radioresistant and radiosensitive PCa cells. We conducted multivariate Cox analysis to construct a novel radiation resistance related index for predicting biochemical recurrence (BCR)-free survival (BCRFS). Internal and external validations were conducted. Preliminary experimental verifications were performed. RESULTS: We identified 194 differentially expressed RRGs and three radiation resistance related molecular clusters for PCa. Moreover, we established a novel radiation resistance related index and succeeded in conducting internal and external validations. High-risk populations meant significantly worse BCRFS in training, testing and validating cohort. The area under receiver operating characteristic curve were 0.809, 0.698, and 0.712 in training, testing, and validating cohort. The immune microenvironment was significantly different between high and low-risk score patients. Preliminary experiment identified and validated three potential biomarkers related to radiation resistance (ZNF695, TM4SF19, CCDC3) of PCa. CONCLUSIONS: This study successfully established and verified a novel radiation resistance related index, which had an excellent performance in predicting BCR and tumor immune microenvironment in patients with PCa.


Assuntos
Neoplasias da Próstata , Humanos , Masculino , Neoplasias da Próstata/genética , Neoplasias da Próstata/radioterapia , Curva ROC , Fatores de Risco , Microambiente Tumoral/genética
2.
Health Informatics J ; 28(2): 14604582221092592, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35642719

RESUMO

Palliative care (PC) has demonstrated benefits for life-limiting illnesses. Bad survival prognosis and patients' decline are working criteria to guide PC decision-making for older patients. Still, there is not a clear consensus on when to initiate early PC. This work aims to propose machine learning approaches to predict frailty and mortality in older patients in supporting PC decision-making. Predictive models based on Gradient Boosting Machines (GBM) and Deep Neural Networks (DNN) were implemented for binary 1-year mortality classification, survival estimation and 1-year frailty classification. Besides, we tested the similarity between mortality and frailty distributions. The 1-year mortality classifier achieved an Area Under the Curve Receiver Operating Characteristic (AUC ROC) of 0.87 [0.86, 0.87], whereas the mortality regression model achieved an mean absolute error (MAE) of 333.13 [323.10, 342.49] days. Moreover, the 1-year frailty classifier obtained an AUC ROC of 0.89 [0.88, 0.90]. Mortality and frailty criteria were weakly correlated and had different distributions, which can be interpreted as these assessment measurements are complementary for PC decision-making. This study provides new models that can be part of decision-making systems for PC services in older patients after their external validation.


Assuntos
Fragilidade , Idoso , Área Sob a Curva , Fragilidade/diagnóstico , Humanos , Redes Neurais de Computação , Cuidados Paliativos , Curva ROC
3.
J Trop Pediatr ; 68(3)2022 04 05.
Artigo em Inglês | MEDLINE | ID: mdl-35657202

RESUMO

We aimed to study the diagnostic utility of cerebrospinal fluid (CSF) procalcitonin (PCT) in neonates with meningitis. All the neonates with sepsis who qualified for lumbar puncture were prospectively evaluated. The neonates were classified into Meningitis and No meningitis group based on predefined criteria. CSF PCT was estimated in these neonates along with cytological and biochemical parameters. A total of 113 neonates were included in the study with 29 in the meningitis group and 84 in the no meningitis group. The median PCT levels were higher in babies with meningitis as compared to those without meningitis [0.194 (0.034-0.534) in meningitis group vs. 0.012 (0.012-0.012) ng/ml in no meningitis group, p < 0.001]. The area under curve for CSF PCT was 0.867 (0.77-0.95) and at a cut-off level of 0.120 ng/ml CSF PCT had a sensitivity of 83%, specificity of 84% and positive and negative predictive likelihood ratios of 5.35 and 0.20, respectively for the diagnosis of meningitis. CSF PCT has a good diagnostic accuracy similar to other parameters in the diagnosis of neonatal meningitis and can be considered as an additional diagnostic marker particularly when CSF culture is negative and cytochemical analysis is inconclusive.


Assuntos
Doenças do Recém-Nascido , Meningites Bacterianas , Biomarcadores , Proteína C-Reativa , Calcitonina/líquido cefalorraquidiano , Líquido Cefalorraquidiano , Humanos , Recém-Nascido , Meningites Bacterianas/líquido cefalorraquidiano , Meningites Bacterianas/diagnóstico , Pró-Calcitonina , Curva ROC , Sensibilidade e Especificidade
4.
Dis Markers ; 2022: 2694499, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35669502

RESUMO

Objective: Previous studies have shown inconsistent results in relation to the red cell distribution width (RDW), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) of atrial fibrillation (AF). This retrospective study is aimed at detecting the association of RDW, NLR, and PLR with AF. Methods: A total of 4717 critical care patients were screened from the Medical Information Mart for Intensive Care- (MIMIC-) III database. The patients were separated into the non-AF and AF groups. The imbalances between the groups were reduced using propensity score matching (PSM). ROC curves were generated to detect the diagnostic value of RDW, NLR, and PLR. Logistic regression analysis was used to detect the risk factors for AF. Results: A total of 991 non-AF patients paired with 991 AF patients were included after PSM in this study. The RDW level in the AF group was significantly higher than that in the non-AF group (15.09 ± 1.93vs. 14.89 ± 1.91, P = 0.017). Neither NLR nor PLR showed any significant difference between the two groups (P > 0.05 for each). According to ROC curve, RDW showed a very low diagnostic value of AF (AUC = 0.5341), and the best cutoff of RDW was 14.1 (ACU = 0.5257, sensitivity = 0.658, specificity = 0.395). Logistic regression analysis showed that an elevated RDW level increased 1.308-fold (95%CI = 1.077-1.588, P = 0.007) risk of AF. Neither elevated NLR nor elevated PLR was a significant risk factor for AF (OR = 0.993, 95%CI = 0.802-1.228, P = 0.945 for NLR; OR = 0.945, 95%CI = 0.763-1.170, P = 0.603 for PLR). Conclusions: Elevated RDW level but not NLR or PLR levels is associated with AF. RDW > 14.1 is a risk factor for AF, but its diagnostic capacity for AF is not of great value.


Assuntos
Fibrilação Atrial , Índices de Eritrócitos , Fibrilação Atrial/diagnóstico , Plaquetas , Cuidados Críticos , Humanos , Linfócitos , Neutrófilos , Prognóstico , Pontuação de Propensão , Curva ROC , Estudos Retrospectivos
5.
Medicine (Baltimore) ; 101(24): e29505, 2022 Jun 17.
Artigo em Inglês | MEDLINE | ID: mdl-35713460

RESUMO

BACKGROUND: Earlier studies have shown that the superb microvascular imaging (SMI) can detect tumor angiogenesis to distinguish thyroid nodules, but there is no systematic review. This meta-analysis aimed to identify the accuracy of ultrasound SMI for the diagnosis of thyroid nodules. METHODS: We searched PubMed, Cochrane Library, and CBM databases. A meta-analysis was conducted using STATA version 14.0 and Meta-Disc version 1.4 software. We calculated the summary statistics for sensitivity, specificity, positive and negative likelihood ratio (LR+/LR-), diagnostic odds ratio, and the synthetic receiver operating characteristic curve. Data will be pooled by either a fixed-effects model or a random-effects model according to the results of heterogeneity identification. RESULTS: 11 studies that met the inclusion criteria were included in this meta-analysis. The quality assessment of the study of diagnostic accuracy studies scores of all included studies were ≥22. A total of 1003 thyroid malignant nodules and 957 thyroid benign nodules were assessed. The main outcome included: the pooled sensitivity was 0.81 (95% confidence intervals (CI) = 0.79-0.84), and the pooled specificity was 0.86 (95% CI = 0.84-0.88); the pooled LR+ was 5.79 (95% CI = 4.44-7.54), and the pooled negative LR- was 0.23 (95% CI = 0.20-0.26); the pooled diagnostic odds ratio of SMI in the diagnosis of thyroid nodules was 26.84 (95% CI = 19.13-37.60). The area under the synthetic receiver operating characteristic curve was 0.89 (95% CI = 0.86-0.91). We found no evidence for publication bias (t = 0.72, P = .49). CONCLUSION: Our meta-analysis indicates that SMI may have high diagnostic accuracy in distinguishing benign and malignant thyroid nodules. SYSTEMATIC REVIEW REGISTRATION: INPLASY202080084.


Assuntos
Nódulo da Glândula Tireoide , Diagnóstico Diferencial , Humanos , Razão de Chances , Curva ROC , Sensibilidade e Especificidade , Nódulo da Glândula Tireoide/diagnóstico por imagem , Nódulo da Glândula Tireoide/patologia , Ultrassonografia/métodos
6.
BMC Res Notes ; 15(1): 210, 2022 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-35725483

RESUMO

In the last decade, research on artificial intelligence has seen rapid growth with deep learning models, especially in the field of medical image segmentation. Various studies demonstrated that these models have powerful prediction capabilities and achieved similar results as clinicians. However, recent studies revealed that the evaluation in image segmentation studies lacks reliable model performance assessment and showed statistical bias by incorrect metric implementation or usage. Thus, this work provides an overview and interpretation guide on the following metrics for medical image segmentation evaluation in binary as well as multi-class problems: Dice similarity coefficient, Jaccard, Sensitivity, Specificity, Rand index, ROC curves, Cohen's Kappa, and Hausdorff distance. Furthermore, common issues like class imbalance and statistical as well as interpretation biases in evaluation are discussed. As a summary, we propose a guideline for standardized medical image segmentation evaluation to improve evaluation quality, reproducibility, and comparability in the research field.


Assuntos
Algoritmos , Inteligência Artificial , Benchmarking , Processamento de Imagem Assistida por Computador/métodos , Curva ROC , Reprodutibilidade dos Testes
7.
Artigo em Inglês | MEDLINE | ID: mdl-35646157

RESUMO

Objective: Coronary artery disease (CAD), one of the commonest cardiovascular diseases, has high morbidity and mortality. Absent in melanoma 2 (AIM2) is involved in atherosclerosis, and no clinical trials have explored the association between AIM2 and CAD. Therefore, this study was aimed at evaluating the predictive and short-term prognostic value of AIM2 for CAD. Methods: 279 patients who underwent coronary angiography were enrolled in this study. The AIM2 level was detected from the serum of collected artery blood samples. The association of serum AIM2 level with the prediction and short-term prognosis of CAD was further assessed. Results: The serum AIM2 level of the CAD group was significantly higher than the control group (5.5 ± 2.1 vs. 3.7 ± 1.7; p < 0.001). AIM2 was demonstrated to be the risk factor of CAD [odds ratio, 1.589; 95% confidence interval (CI), 1.346-1.876; p < 0.001]. The area under the receiver operating characteristic (ROC) curve of 0.738 showed the diagnostic value of AIM2 in CAD. Additionally, AIM2 was an independent predictor of major adverse cardiovascular events (hazard ratio, 1.453; 95% CI, 1.086-1.945; p = 0.012), and CAD patients with high AIM2 levels (>4.9 ng/mL) had a markedly lower survival rate (log-rank p = 0.040). Conclusions: The serum AIM2 level > 4.9 ng/mL can predict CAD to a certain extent. AIM2 might be an independent predictor of its short-term poor prognosis.


Assuntos
Doença da Artéria Coronariana , Proteínas de Ligação a DNA , Angiografia Coronária , Doença da Artéria Coronariana/diagnóstico , Proteínas de Ligação a DNA/sangue , Humanos , Prognóstico , Curva ROC
8.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 34(5): 475-480, 2022 May.
Artigo em Chinês | MEDLINE | ID: mdl-35728847

RESUMO

OBJECTIVE: To explore the value of red blood cell distribution width (RDW) in evaluating the severity of patients infected with novel coronavirus Delta variant. METHODS: A total of 28 patients infected with novel coronavirus Delta variant in designated hospital treated by the First Affiliated Hospital of Xi'an Jiaotong University medical team from December 2021 to January 2022 were enrolled (23 cases of common type, 4 severe and 1 critical cases). The detailed clinical data of patients was collected. Then, Pearson's correlation analysis was used to identify the blood examination indexes which affected the arterial partial pressure of oxygen (PaO2) and arterial partial pressure of carbon dioxide (PaCO2). According to the median standard deviation of red blood cell distribution width (RDW-SD, 42.5 fL), 28 patients were divided into low RDW-SD group (≤ 42.5 fL, 16 cases) and high RDW-SD group (> 42.5 fL, 12 cases), and the immune related indexes of the two groups were compared. Receiver operator characteristic curve (ROC) was drawn to evaluate the predictive value of RDW-SD on the severity of illness of coronavirus disease 2019 (COVID-19). RESULTS: Correlation analysis showed that RDW-SD was the only index related to PaO2 and PaCO2 on the first day of admission, which was negative correlation with PaO2 (r = -0.379, P = 0.047) and positive correlation with PaCO2 (r = 0.509, P = 0.006). The results of effects of different clinical characteristics on RDW-SD level showed that there was no statistically significant difference in RDW-SD between groups with different clinical characteristics (including male/female, ≥ 65 years old/< 65 years old, having/without hypertension, having/without diabetes, smoking/not smoking, having/without hyperpyrexia, with/without fever for 3 days, with/without respiratory symptoms, with/without digestive symptoms). It was suggested that RDW-SD be relatively stable and not affected by the patient's baseline level. The percentage of B cells in low RDW-SD group was higher than that in high RDW-SD group (23.01±3.01 vs. 15.34±5.34, P < 0.05), immunoglobulin G (IgG) level in low RDW-SD group was lower than that in high RDW-SD group (g/L: 11.43±3.20 vs. 15.42±1.54, P < 0.05). The area under ROC curve (AUC) of RDW-SD in evaluating severe cases was 0.83 [95% confidence interval (95%CI) was 0.59-1.06], which was close to multilobularinltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hyper-tension and age (MuL BSTA score; AUC = 0.82, 95%CI was 0.51-1.12) and better than British Thoracic Society's modified pneumonia score (CURB-65 score; AUC = 0.70, 95%CI was 0.50-0.91). CONCLUSIONS: RDW-SD has significant evaluative effect on the severity of COVID-19 patients with Delta variants.


Assuntos
COVID-19 , SARS-CoV-2 , Idoso , Eritrócitos , Feminino , Humanos , Masculino , Gravidade do Paciente , Prognóstico , Curva ROC , Estudos Retrospectivos
9.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 34(5): 497-501, 2022 May.
Artigo em Chinês | MEDLINE | ID: mdl-35728851

RESUMO

OBJECTIVE: To evaluate the effect of thymosin alpha 1 on the prognosis of patients with coronavirus disease 2019 (COVID-19). METHODS: A retrospective cohort study was performed to collect clinical data of 95 patients treated by Shanghai Aid Medical Team in Wuhan Third Hospital during January 31, 2020 and March 4, 2020, who were confirmed COVID-19. They were divided into two groups according to whether they were treated with thymosin alpha 1 after admission. The 28-day mortality (primary outcome), and 28-ventilator-free-day, lymphocyte count (LYM) level, C-reactive protein (CRP) level (secondary outcomes) were compared between two groups. Survival analysis was performed using the Kaplan-Meier curve. The effect of thymosin alpha 1 on 28-day survival was evaluated with Cox regression model. RESULTS: Among the 95 patients, there were 31 cases in thymosin group and 64 cases in non-thymosin group; 29 patients died 28 days after admission, including 11 cases (35.5%) in thymosin group and 18 cases (28.1%) in non-thymosin group. Kaplan-Meier survival curve showed that thymosin alpha 1 could improve the 28-day survival of patients with COVID-19, but the univariate Cox model analysis showed that the difference was not statistically significant [hazard ratio (HR) = 0.48, 95% confidence interval (95%CI) was 0.20-1.14, P = 0.098]; multivariate Cox model analysis showed that thymosin alpha 1 was the factor to improve the 28-day mortality (HR = 0.15, 95%CI was 0.04-0.55, P = 0.004), old age (HR = 1.10, 95%CI was 1.05-1.15, P < 0.001), accompanied by chronic renal dysfunction (HR = 42.35, 95%CI was 2.77-648.64, P = 0.007), decrease of LYM at admission (HR = 0.15, 95%CI was 0.04-0.60, P = 0.007) and the use of methylprednisolone (HR = 4.59, 95%CI was 1.26-16.67, P = 0.021) were also risk factors for the increase of 28-day mortality. The use of immunoglobulin and antiviral drugs abidol and ganciclovir did not affect the 28-day mortality. After adjustment for age, gender, LYM and other factors, weighted multivariate Cox analysis model showed thymosin alpha 1 could significantly improve the 28-day survival of COVID-19 patients (HR = 0.45, 95%CI was 0.25-0.84, P = 0.012). In terms of secondary outcomes, no statistical difference (all P > 0.05) was found between two groups in days without ventilator at 28 days after admission (days: 17.97±13.56 vs. 20.09±12.67) and the increase of LYM at 7 days after admission [×109/L: -0.07 (-0.23, 0.43) vs. 0.12 (-0.54, 0.41)]. But the decrease of CRP at 7 days after admission in thymosin alpha group was significantly greater than that in non-thymosin group [mg/L: 39.99 (8.44, 82.22) vs. 0.53 (-7.78, 22.93), P < 0.05]. CONCLUSION: Thymosin alpha 1 may improve 28-day mortality and inflammation state in COVID-19 patients.


Assuntos
COVID-19 , China , Humanos , Prognóstico , Curva ROC , Estudos Retrospectivos , Timalfasina/uso terapêutico
10.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 34(5): 514-518, 2022 May.
Artigo em Chinês | MEDLINE | ID: mdl-35728854

RESUMO

OBJECTIVE: To investigate the correlation between dead space fraction and lung ultrasound score (LUS) and their prognostic value in patients with acute respiratory distress syndrome (ARDS). METHODS: The data of 98 patients with ARDS treated in the intensive care unit (ICU) of the First Affiliated Hospital of Jinzhou Medical University from January to December 2020 were collected and analyzed. The gender, age, acute physiology and chronic health evaluation II (APACHE II), oxygenation index, dead space fraction and LUS score immediately and 24, 48, 72 and 96 hours after ICU admission and 28-day outcomes of all patients were collected. Pearson correlation was used to analyze the correlation between dead space fraction and LUS score. Binary Logistic regression was performed to analyze whether the dead space fraction and LUS score could be the risk factors of the prognosis in patients with ARDS. Receiver operator characteristic curve (ROC) was used to analyze the predictive effect of dead space fraction and LUS score on 28-day mortality in patients with ARDS. RESULTS: A total of 98 patients with ARDS were included, of which 76 cases survived and 22 cases died within 28 days. With the prolongation of ICU stay, the dead space fraction and LUS score in the survival group increased first and then decreased. The dead space fraction and LUS score in the death group continued to increase to 96 hours, and were significantly higher than those in the survival group (dead space fraction: 0.569±0.019 vs. 0.491±0.021, LUS score: 20.09±2.39 vs. 15.13±1.91, both P < 0.05). There was a positive correlation between the dead space fraction and LUS score at 48, 72 and 96 hours in ICU (r values were 0.200, 0.471 and 0.677, all P < 0.05). Binary Logistic regression analysis showed that dead space fraction and LUS score were independent risk factors affecting the prognosis of patients with ARDS [dead space fraction: odds ratio (OR) was 69.064, 95% confidence interval (95%CI) was 22.680-123.499, P = 0.008; LUS score: OR was 4.790, 95%CI was 1.609-14.261, P = 0.005]. The results of ROC curve analysis showed that the dead space fraction at 48, 72 and 96 hours after ICU admission could be used to predict the 28-day mortality of patients with ARDS, the sensitivity was 59.1%, 90.9% and 95.5%, and the specificity was 89.5%, 80.3% and 98.7%. The area under the curve (AUC) of dead space fraction predicting 28-day mortality was 0.802, 0.952 and 0.998, all P < 0.01. The LUS score of 72 hours and 96 hours in ICU could be used to predict the 28-day mortality of patients with ARDS, the sensitivity was 77.3%, 77.3% and 100.0%, and the specificity was 68.4%, 88.2% and 80.3%, respectively. The AUC of the LUS score to predict the 28-day mortality of patients were 0.935 and 0.959, both P < 0.01. CONCLUSIONS: There was significant correlation between dead space fraction and LUS score, both of which were risk factors of 28-day mortality and be used to evaluate the 28-day prognosis of patients with ARDS.


Assuntos
Síndrome do Desconforto Respiratório , APACHE , Humanos , Unidades de Terapia Intensiva , Pulmão/diagnóstico por imagem , Prognóstico , Curva ROC , Síndrome do Desconforto Respiratório/diagnóstico por imagem , Estudos Retrospectivos
11.
Sci Rep ; 12(1): 10414, 2022 Jun 21.
Artigo em Inglês | MEDLINE | ID: mdl-35729330

RESUMO

The purpose of this study is to determine whether the levels of serum Sirt3 correlate with disease severity and perfusion indicators in septic patients, as well as to assess the clinical value of Sirt3 as a potential novel marker for sepsis diagnosis and mortality prediction. A total of 79 patients in the ICU were included in the study, of which 28 were postoperatively noninfectious and the remaining 51 patients were all diagnosed with sepsis during the study period. The levels of Sirt3 were detected and dynamically monitored by enzyme-linked adsorption method, Pearson or Spearman coefficient for correlation analysis between Sirt3 and clinical indicators, ROC curve for evaluation of diagnosis and mortality prediction, Kaplan-Meier method for the significance of Sirt3 in 28-day survival. The serum levels of Sirt3 were lower in the sepsis patients on day 1 (P < 0.0001), and the septic shock group had lower Sirt3 levels than the sepsis group (P = 0.013). Sirt3 had good negative correlations with SOFA scores both in sepsis and septic shock groups (Pearson: r2 = - 0.424, - 0.518; P = 0.011, 0.040), and Sirt3 correlated strongly with ScvO2 in the septic shock group (Pearson: r2 = - 0.679, P = 0.004) and with PCT in the sepsis group (Pearson: r2 = - 0.409, P = 0.015). Sirt3 not only performed well in identifying sepsis (AUC = 0.995, 95% CI 0.987-1, P < 0.0001) but also greatly enhanced lactate's specificity in detecting septic shock (from 91.43 to 94.29%). Patients in the low Sirt3 group had higher ScvO2, lactate, APACHE II score, SOFA score, longer ICU stays, and worse indicators of inflammation (TNF-α, IL-6) and infection (PCT) than those in the high Sirt3 group (P < 0.05). Additionally, Sirt3 can predict mortality of sepsis (AUC = 0.746, 95% CI 0.571-0.921, P = 0.022), patients with serum Sirt3 < 10.07 pg/ml have a lower 28-day survival (log-rank P = 0.008). Low serum levels of Sirt3 are significantly correlated with the disease severity. At the same time, Sirt3 increases the sensitivity of lactate to detect "cellular hypoxia" in septic shock. Sirt3 is a promising biomarker for the diagnosis of sepsis and predicting mortality risk in septic patients.


Assuntos
Sepse , Choque Séptico , Sirtuína 3 , Biomarcadores , Humanos , Unidades de Terapia Intensiva , Ácido Láctico , Prognóstico , Curva ROC , Estudos Retrospectivos , Sepse/diagnóstico , Choque Séptico/diagnóstico
12.
BMC Gastroenterol ; 22(1): 301, 2022 Jun 21.
Artigo em Inglês | MEDLINE | ID: mdl-35729498

RESUMO

BACKGROUND/AIM: The ABC score is a new pre-endoscopic scoring system that was recently developed to accurately predict one-month mortality in upper and lower gastrointestinal bleeding (GIB). We aim to validate this new score on a cohort of Lebanese patients treated in a tertiary care center and to compare it to currently existing scores. METHODS: Adult patients admitted to the American University of Beirut Medical Center (AUBMC) with overt GIB between January 2013 and August 2020 were included. The area under receiver operating characteristic (AUROC) curves of the ABC score in predicting 30-day mortality was calculated using the SPSS software. Other optimal existing scores for predicting mortality (the Oakland score for lower GIB, the AIMS-65 and the Rockall scores for upper GIB)s were also assessed and compared to the ABC score. RESULTS: A total of 310 patients were included in our study. For upper GIB, the ABC score showed good performance in predicting 30-day mortality (AUROC: 0.79), outperforming both the AIMS-65 score (AUROC 0.67, p < 0.001) and the Rockall score (AUROC: 0.62, p < 0.001). For lower GIB, the ABC score also had good performance which was comparable to the Oakland score (AUROC: 0.70 vs 0.56, p = 0.26). CONCLUSION: In our cohort of patients, the ABC score demonstrated good performance in predicting 30-day mortality for patients with upper and lower GIB compared to other established risk scores, which may help guide management decisions. This simple and novel score provides valuable prognostic information for patients presenting with GIB and appears to be reproducible in different patient populations.


Assuntos
Hemorragia Gastrointestinal , Adulto , Área Sob a Curva , Estudos de Coortes , Hemorragia Gastrointestinal/terapia , Humanos , Prognóstico , Curva ROC , Estudos Retrospectivos , Medição de Risco , Índice de Gravidade de Doença
13.
BMC Cardiovasc Disord ; 22(1): 281, 2022 Jun 21.
Artigo em Inglês | MEDLINE | ID: mdl-35729499

RESUMO

BACKGROUND: Coronary heart disease (CHD) is one of the most common causes of morbidity and mortality in type 2 diabetes mellitus (T2DM). Oxidative stress is one of the important contributors to the pathogenesis of CHD. Sestrin2 is a stress-induced antioxidant protein that plays a important role in T2DM and CHD. However, the relationship between serum Sestrin2 levels and T2DM with CHD remains unclear. AIM: This study aimed to investigate the relationship between serum Sestrin2 levels and CHD in patients with type 2 diabetes. METHODS: A total of 70 T2DM patients with CHD and 69 T2DM patients were enrolled in this study. Clinical features and metabolic indices were identified. Serum Sestrin2 was measured by ELISA. RESULTS: Serum Sestrin2 levels in T2DM-CHD groups were significantly lower compared with the T2DM group (11.17 (9.79, 13.14) ng/mL vs 9.46 (8.34, 10.91) ng/mL). Bivariate correlation analysis revealed that serum Sestrin2 levels were negatively correlated with age (r = - 0.256, P = 0.002), BMI (r = - 0.206, P = 0.015), FBG (r = - 0.261, P = 0.002) and Tyg index (r = - 0.207, P < 0.014). Binary logistic regression suggested that low serum Sestrin2 levels were related to the increased risk of T2DM-CHD (P < 0.05). In addition, the receiver operating characteristic analysis revealed that the area under the curve of Sestrin2 was 0.724 (95% CI 0.641-0.808, P < 0.001) to predict T2DM-CHD patients (P < 0.001). CONCLUSION: The Sestrin2 levels were highly associated with CHD in diabetes patients. Serum Sestrin2 may be involved in the occurrence and development of diabetic with CHD.


Assuntos
Doença das Coronárias , Diabetes Mellitus Tipo 2 , Doença das Coronárias/complicações , Doença das Coronárias/diagnóstico , Doença das Coronárias/epidemiologia , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/diagnóstico , Humanos , Curva ROC , Fatores de Risco
14.
Artigo em Chinês | MEDLINE | ID: mdl-35725309

RESUMO

Objective: To design and validate a high-quality rapid screening questionnaire based on the common medical history and clinical experience of benign paroxysmal positional vertigo (BPPV). Methods: A questionnaire was designed based on expert's opinions, and the first-time patients who complained of dizziness and vertigo in the vertigo clinic of the First Hospital of Shanxi Medical University from September 2020 to June 2021 were prospectively screened. Taking the displacement test as the gold standard, the reliability and validity of the questionnaire were tested to evaluate its authenticity, reliability and benefit value. This study was divided into three steps. The first step was to conduct a pre-experiment and to adjust the questionnaire items; the second step was to determine the questionnaire items and the best cut-off value; the third step was to screen patients with the best cut-off value and to evaluate the quality of the questionnaire. Results: Seven items were finalized. The Cronbach's coefficient of the questionnaire was 0.675, the content validity was 0.85, the KMO value of the construct validity was 0.648, and there were 4 factors with characteristic root>1, and the cumulative contribution rate was 76.309%. The area under the receiver operating characteristic curve (ROC) was 0.938, and its optimal cut-off value was 4.5 points. At this point, the sensitivity was 88.89% and the specificity was 85.44%. Conclusion: The BPPV rapid screening questionnaire has high sensitivity and specificity, which can be used for clinical screening of BPPV patients.


Assuntos
Vertigem Posicional Paroxística Benigna , Tontura , Vertigem Posicional Paroxística Benigna/diagnóstico , Tontura/diagnóstico , Humanos , Curva ROC , Reprodutibilidade dos Testes , Inquéritos e Questionários
15.
BMC Pregnancy Childbirth ; 22(1): 504, 2022 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-35725446

RESUMO

OBJECTIVE: Preeclampsia, the main cause of maternal and perinatal deaths, is associated with several maternal complications and adverse perinatal outcomes. Some prediction models are uesd to evaluate adverse pregnancy outcomes. However, some of the current prediction models are mainly carried out in developed countries, and many problems are still exist. We, thus, developed and validated a nomogram to predict the risk of adverse pregnancy outcomes of preeclampsia in Chinese pregnant women. METHODS: The clinical data of 720 pregnant women with preeclampsia in seven medical institutions in Chongqing from January 1, 2010, to December 31, 2020, were analyzed retrospectively. The patients were divided into two groups: 180 cases (25%) with adverse outcomes and 540 cases (75%) without adverse outcomes. The indicators were identified via univariate analysis. Logistic regression analysis was used to establish the prediction model, which was displayed by a nomogram. The performance of the nomogram was evaluated in terms of the area under the receiver operating characteristic (ROC) curve, calibration, and clinical utility. RESULTS: Univariate analysis showed that 24 indicators were significantly different (P < 0.05). Logistic regression analysis showed that gestational age, 24 h urine protein qualitative, and TT were significantly different (P < 0.05). The area under the ROC curve was 0.781 (95% CI 0.737-0.825) in training set and 0.777 (95% CI 0.689-0.865) in test set. The calibration curve of the nomogram showed good agreement between prediction and observation. The analysis of the clinical decision curve showed that the nomogram is of practical significance. CONCLUSION: Our study identified gestational age, 24 h urine protein qualitative, and TT as risk factors for adverse outcomes of preeclampsia in pregnant women, and constructed a nomogram that can easily predict and evaluate the risk of adverse pregnancy outcomes in women with preeclampsia.


Assuntos
Pré-Eclâmpsia , Adulto , China/epidemiologia , Feminino , Humanos , Nomogramas , Pré-Eclâmpsia/epidemiologia , Pré-Eclâmpsia/etiologia , Gravidez , Gestantes , Curva ROC , Estudos Retrospectivos , Fatores de Risco , Adulto Jovem
16.
BMC Res Notes ; 15(1): 212, 2022 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-35725631

RESUMO

OBJECTIVE: This study aimed to determine whether presepsin and inflammation-based prognostic scores can predict the progression of septic subclinical acute kidney injury (AKI) to septic AKI among intensive care unit (ICU) patients. RESULTS: Presepsin values were measured immediately after ICU admission (baseline) and on Days 2, 3, and 5 after ICU admission. Glasgow Prognostic Score, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio (PLR), Prognostic Index, and Prognostic Nutritional Index were measured at baseline. Presepsin values and these indices were compared between septic AKI and septic subclinical AKI patients. There were 38 septic AKI patients and 21 septic subclinical AKI patients. Receiver operating characteristic curve analyses revealed the following cut-off values for AKI (relative to subclinical AKI): 708.0 (pg/ml) for presepsin on Day 1 (AUC, 0.69; sensitivity, 82%; specificity, 52%), 1283.0 (pg/ml) for presepsin on Day 2 (AUC, 0.69; sensitivity, 55%; specificity, 80%), and 368.66 for PLR (AUC, 0.67; sensitivity, 71%; specificity, 62%). Multivariate logistic regression analyses revealed PLR to be a predictor of septic subclinical AKI (odds ratio, 1.0023; 95% confidence interval, 1.0000-1.0046; p = 0.046). Presepsin and PLR predicted the progression of septic subclinical AKI to septic AKI and the prognosis of subclinical septic AKI patients.


Assuntos
Injúria Renal Aguda , Sepse , Injúria Renal Aguda/complicações , Injúria Renal Aguda/diagnóstico , Biomarcadores , Humanos , Receptores de Lipopolissacarídeos , Linfócitos , Fragmentos de Peptídeos , Projetos Piloto , Curva ROC , Sepse/complicações
17.
Fa Yi Xue Za Zhi ; 38(1): 31-39, 2022 Feb 25.
Artigo em Inglês, Chinês | MEDLINE | ID: mdl-35725701

RESUMO

OBJECTIVES: To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognition to provide data reference for automatic diatom testing research in forensic medicine. METHODS: The "diatom" and "background" small sample size data set (20 000 images) of digestive fluid smear of corpse lung tissue in water were built to train, validate and test four convolutional neural network (CNN) models, including VGG16, ResNet50, InceptionV3 and Inception-ResNet-V2. The receiver operating characteristic curve (ROC) of subjects and confusion matrixes were drawn, recall rate, precision rate, specificity, accuracy rate and F1 score were calculated, and the performance of each model was systematically evaluated. RESULTS: The InceptionV3 model achieved much better results than the other three models with a balanced recall rate of 89.80%, a precision rate of 92.58%. The VGG16 and Inception-ResNet-V2 had similar diatom recognition performance. Although the performance of diatom recall and precision detection could not be balanced, the recognition ability was acceptable. ResNet50 had the lowest diatom recognition performance, with a recall rate of 55.35%. In terms of feature extraction, the four models all extracted the features of diatom and background and mainly focused on diatom region as the main identification basis. CONCLUSIONS: Including the Inception-dependent model, which has stronger directivity and targeting in feature extraction of diatom. The InceptionV3 achieved the best performance on diatom identification and feature extraction compared to the other three models. The InceptionV3 is more suitable for daily forensic diatom examination.


Assuntos
Aprendizado Profundo , Diatomáceas , Algoritmos , Humanos , Redes Neurais de Computação , Curva ROC
18.
BMC Anesthesiol ; 22(1): 193, 2022 Jun 22.
Artigo em Inglês | MEDLINE | ID: mdl-35733092

RESUMO

OBJECTIVE: This study aimed to clarify the relevant risk factors of septic cardiomyopathy (SCM) in perioperative sepsis patients. METHODS: This retrospective study evaluated patients who were diagnosed with sepsis during the perioperative period and postoperatively admitted to the intensive care unit (ICU) in the Second Affiliated Hospital of Soochow University, the First Affiliated Hospital of Soochow University, and the Suzhou Municipal Hospital between January 2017 and November 2020. They were divided into two groups as the septic cardiomyopathy group (SCM group) and the non-SCM group (NSCM group). Factors with P < 0.1 were compared between groups and were analyzed by multivariate logistic regression to screen the risk factors of sepsis cardiomyopathy. The area under the receiver operating characteristic (ROC) curve was used to verify the discriminative ability of multivariate logistic regression results. Hosmer-Lemeshow goodness of fit test was used to verify the calibration ability of multiple logistic regression results. RESULT: Among the 269 patients, 49 patients had SCM. Sequential Organ Failure Assessment (SOFA) score (adjusted odds ratio [AOR] = 2.535, 95% confidence interval (CI): 1.186-1.821, P = 0.000]) and endoscopic surgery (AOR = 3.154, 95% CI: 1.173-8.477, P = 0.023]) were identified to be independent risk factors for SCM. Patients with a SOFA score ≥ 7 had a 46.831-fold higher risk of SCM (AOR =46.831, 95% CI: 10.511-208.662, P < 0.05). The multivariate logistic regression results had good discriminative (area under the curve: 0.902 [95% CI: 0.852-0.953]) and calibration (c2 = 4.401, P = 0.819) capabilities. The predictive accuracy was 86.2%. The rates of mechanical ventilation and tracheotomy were significantly higher in the SCM group than in the NSCM group (both P < 0.05). The SCM group also had a significantly longer duration of mechanical ventilation (P < 0.05) and significantly higher rates of continuous renal replacement therapy (CRRT) and CRRT-related mortality (P < 0.05). Further, the total length of stay and hospitalization cost were significantly higher in the SCM group than in the NSCM group (P < 0.05). CONCLUSION: Endoscopic surgery and SOFA score ≥ 7 during postoperative ICU admission were independent risk factors for SCM within 48 hours postoperatively in patients with perioperative sepsis.


Assuntos
Cardiomiopatias , Sepse , Cardiomiopatias/complicações , Cardiomiopatias/epidemiologia , Humanos , Unidades de Terapia Intensiva , Complicações Pós-Operatórias/epidemiologia , Prognóstico , Curva ROC , Estudos Retrospectivos , Fatores de Risco , Sepse/complicações , Sepse/diagnóstico , Sepse/epidemiologia
19.
Sci Rep ; 12(1): 9422, 2022 Jun 08.
Artigo em Inglês | MEDLINE | ID: mdl-35676399

RESUMO

We aimed to investigate the diagnostic utility of MRI extracellular volume fraction (ECV) for the assessment of liver cirrhosis severity as defined by Child-Pugh class. In this retrospective study, 90 patients (68 cirrhotic patients and 22 controls), who underwent multiparametric liver MRI, were identified. Hepatic T1 relaxation times and ECV were assessed. Clinical scores of liver disease severity were calculated. One-way analysis of variance (ANOVA) followed by Tukey's multiple comparison test, Spearman's correlation coefficient, and receiver operating characteristic (ROC) analysis were used for statistical analysis. In cirrhotic patients, hepatic native T1 increased depending on Child-Pugh class (620.5 ± 78.9 ms (Child A) vs. 666.6 ± 73.4 ms (Child B) vs. 828.4 ± 91.2 ms (Child C), P < 0.001). ECV was higher in cirrhotic patients compared to the controls (40.1 ± 11.9% vs. 25.9 ± 4.5%, P < 0.001) and increased depending of Child-Pugh class (33.3 ± 6.0% (Child A) vs. 39.6 ± 4.9% (Child B) vs. 52.8 ± 1.2% (Child C), P < 0.001). ECV correlated with Child-Pugh score (r = 0.64, P < 0.001). ECV allowed differentiating between Child-Pugh classes A and B, and B and C with an AUC of 0.785 and 0.944 (P < 0.001, respectively). The diagnostic performance of ECV for differentiating between Child-Pugh classes A and B, and B and C was higher compared to hepatic native T1 (AUC: 0.651 and 0.910) and MELD score (AUC: 0.740 and 0.795) (P < 0.05, respectively). MRI-derived ECV correlated with Child-Pugh score and had a high diagnostic performance for the discrimination of different Child-Pugh classes. ECV might become a valuable non-invasive biomarker for the assessment of liver cirrhosis severity.


Assuntos
Cirrose Hepática , Imageamento por Ressonância Magnética , Humanos , Fígado/diagnóstico por imagem , Fígado/patologia , Cirrose Hepática/patologia , Curva ROC , Estudos Retrospectivos
20.
Contrast Media Mol Imaging ; 2022: 3790269, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35677026

RESUMO

The objective of this research was to investigate the application values of magnetic resonance imaging (MRI) features of the deep learning-based image super-resolution reconstruction algorithm optimized convolutional neural network (OPCNN) algorithm in nasopharyngeal carcinoma (NPC) lesion diagnosis. A total of 54 patients with NPC were selected as research objects. Based on the traditional CNN structure, OPCNN was proposed. Besides, MRI processed by the traditional CNN model and the U-net network model was introduced to be analyzed and compared with its algorithm. The used assessment parameters included volume transfer constant (K trans), rate constant (K ep), volume fraction (V e), and apparent diffusion coefficient (ADC). The results showed that the values of Dice coefficient, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) of the OPCNN algorithm were significantly higher than those of the traditional CNN model and the U-net network model. Meanwhile, the difference was statistically significant (P < 0.05). K trans, K ep, and V e in tumor lesions were significantly higher than those in the healthy side, while the ADC was significantly lower than that in the healthy side (P < 0.05). The sensitivity, specificity, and accuracy of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) in the diagnosis of nasopharyngeal carcinoma staging were slightly higher than those in T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI). The diagnostic sensitivity of DCE-MRI was more than 85%, its diagnostic specificity was more than 75%, and its diagnostic accuracy was more than 90%. The AUC area of NPC diagnosed by combination of the three was significantly different from that diagnosed by single T2WI, DWI, and DCE-MRI (P < 0.05). The diagnostic accuracy of MRI based on the OPCNN algorithm for nasopharyngeal carcinoma (93.2%) was significantly higher than that of single MRI (76.4%). In summary, the OPCNN algorithm proposed in this study could improve the quality of MRI images, and the effect was better than the traditional deep learning model, which had the value of clinical promotion. The application value of DCE-MRI in the diagnosis of pathogenic lesions of nasopharyngeal carcinoma was better than conventional MRI. The combined application of T2WI, DWI, and DCE-MRI in the screening of nasopharyngeal carcinoma lesions could greatly improve the diagnostic accuracy of nasopharyngeal carcinoma.


Assuntos
Aprendizado Profundo , Neoplasias Nasofaríngeas , Algoritmos , Meios de Contraste , Imagem de Difusão por Ressonância Magnética/métodos , Humanos , Imageamento por Ressonância Magnética/métodos , Carcinoma Nasofaríngeo/diagnóstico por imagem , Neoplasias Nasofaríngeas/diagnóstico por imagem , Neoplasias Nasofaríngeas/patologia , Curva ROC
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...