Poor Prognosis Group Research Articles

Impact of fasting blood glucose on prognosis after acute large vessel occlusion reperfusion: results from a multicenter analysis

ObjectiveTo analyze the effect of fasting blood glucose levels after reperfusion of acute large vessel occlusion (ALVO) on patient functional prognosis.MethodsRetrospectively included ALVO patients from three large stroke centers in China, all of whom achieved vascular reperfusion after mechanical thrombectomy or bridging thrombolysis. The prognosis scores of all patients at 90 ± 7 days post-recanalization were categorized into a good prognosis group (mRS 0–2) and a poor prognosis group (mRS 3–6). The relationship between mean blood glucose levels at 72 h post-recanalization and prognosis was explored using multivariable logistic regression analysis. Then we measured the area under the ROC curve for all factors to assess their predictive performance.Results(1) Totally 2,056 patients were included in the study, with 1,488 males and 568 females. There were 1,370 patients in the good prognosis group (mRS 0–2) and 686 in the poor prognosis group (mRS 3–6). (2) The two groups exhibited significant differences in terms of age, preoperative mRS score, history of diabetes, and mean fasting blood glucose (MFBG) (p < 0.001). (3) With 90-day mRS as the outcome variable, all independent variables were included in Univariate and multivariate regression analyses analysis, and the results showed that: age, preoperative mRS score, history of diabetes, and MFBG are all independent predictors of prognosis after recanalization of ALVO, with MFBG demonstrating a higher predictive power than the other factors (AUC = 0.644).ConclusionVarious factors are correlated with the prognosis in patients who have undergone ALVO recanalization. Notably, the MFBG level demonstrates a significant predictive value for outcomes within the first 72 h following the recanalization procedure.

Prognostic Factors for Patients with Small-Cell Lung Cancer Treated with Chemoimmunotherapy: A Retrospective Multicenter Study

Background: This study aimed to investigate prognostic factors for predicting the survival of patients with extensive-disease-stage small-cell lung cancer treated with chemoimmunotherapy. Methods: Patients were classified according to overall survival (OS): favorable corresponded to an OS ≥ 24 months, moderate corresponded to an OS of 6–24 months, and poor corresponded to an OS < 6 months. Multivariate Cox regression analyses were used to evaluate prognostic factors. Results: Of 130 patients, the proportions of performance status decline and liver metastasis were significantly higher in the poor-prognosis group. With regard to the laboratory findings, neutrophil/lymphocyte ratios and albumin levels differed significantly among the groups. Multivariate analysis showed that the independent prognostic factors for OS were liver metastasis and decreased albumin levels (<3.5 mg/dL). After classifying the patients into three groups according to the quantities of these prognostic factors, the OS differed significantly among the groups (18.3 vs. 13.5 vs. 3.8 months; p < 0.001). The incidence of immune-related adverse events (irAEs) was higher in patients without these prognostic factors than in those with both (36% vs. 5%; p = 0.01). Conclusion: Liver metastasis and decreased albumin levels are independent unfavorable prognostic factors. Patients with both prognostic factors showed unfavorable OS; however, patients without these factors may have a favorable prognosis but be at greater risk of irAEs.

Expression of AQP8 in Serum of Patients With Meniere's Disease and Its Value in Evaluating the Degree of Hydrolabyrinth and Predicting Prognosis.

This study aims to explore the role of serum aquaporin 8 (AQP8) expression in evaluating the degree of hydrolabyrinth and predicting prognosis in patients with Meniere's disease. One hundred and five patients diagnosed with Meniere's disease in our hospital were enrolled in the Meniere's disease group. Another 102 healthy subjects were enrolled as the control group. The expression of serum AQP8 mRNA was determined by the quantitative real-time PCR (qRT-PCR) method. Receiver operating characteristic (ROC) curve analysis was carried out to analyse the predictive value of serum AQP8 mRNA expression for poor prognosis in Meniere's disease patients. Multivariate logistic regression was used to analyse the influencing factors of poor prognosis in patients with Meniere's disease. The expression level of serum AQP8 mRNA in the Meniere's disease group was significantly higher than that in the control group (p < 0.05). In the severe hydrops group, serum AQP8 mRNA expression levels were higher than in the mild hydrops group and the no endolymphatic hydrops group. Additionally, the mild hydrops group had higher serum AQP8 mRNA levels than the no endolymphatic hydrops group (p < 0.05). The disease course, proportion of severe hydrops and serum AQP8 mRNA expression were all higher in the poor prognosis group compared to the good prognosis group (p < 0.05). The area under the curve (AUC) for serum AQP8 mRNA in predicting poor prognosis in Meniere's disease patients was 0.812 (95%CI: 0.702-0.922). AQP8 mRNA is associated with the degree of hydrolabyrinth in patients with Meniere's disease and plays an important role in predicting prognosis.

Effect of glycemic gap on prognosis and complications in vulnerable period of acute heart failure

Background: To investigate the effect of glycemic gap on the prognosis and complications of heart failure in patients with acute heart failure. Methods: 100 patients with acute heart failure treated in our hospital from January 2022 to August 2023 were divided into two groups according to the prognosis: good prognosis group (n = 58) and poor prognosis group (n = 42). Univariate analysis of the prognostic factors of acute heart failure patients in vulnerable period, multivariate Logistics regression analysis of the prognostic factors of acute heart failure patients. ROC analysis of the value of glycemic gap in predicting the prognosis of patients with acute heart failure in the vulnerable period of heart failure, and compare the occurrence of complications between the two groups. Including: arrhythmia, angina pectoris, cardiogenic shock, thrombosis. Results: There was no significant difference in age, sex, history of hypertension, BMI, TG, history of diabetes and serum potassium between the two groups. The glycemic gap, BNP, Ang II, cTnI and SCR in the good prognosis group were lower than those in the poor prognosis group, while LVEF and hemoglobin were higher than those in the poor prognosis group. Binary Logistics regression analysis showed that. Glycemic gap, BNP, Ang II, cTnI, SCR, LVEF and hemoglobin were independent prognostic factors in patients with acute heart failure. The area under the glycemic gap value curve was determined to be 0.8071. The sensitivity of the assessment was 72.8, while the specificity was 70.5, . The incidence of complications in the good prognosis group (1.72%) was significantly lower than that in the poor prognosis group (16.67%). Conclusions: Glycemic gap is related to the prognosis and complications of heart failure in patients with acute heart failure. Hyperglycemia gap will affect the prognosis of heart failure in patients with acute heart failure, resulting in poor prognosis and increasing the incidence of complications.

Risk factors for poor prognosis in patients with zoster-associated neuralgia who underwent interventional pain management.

Zoster-associated neuralgia (ZAN) is recognized as a challenging neuralgia that often leads to poor prognosis in patients receiving interventional pain management. Identifying risk factors early can enable clinicians to develop personalized treatment plans; however, research in this area is limited. We retrospectively screened all patients with ZAN who received interventional therapy in the Pain Department of Soochow University First Affiliated Hospital from January 1, 2022 to August 31, 2023. Data on patient demographics, medical history, neutrophil-to-lymphocyte ratio (NLR), clinical scoring, and treatment methods were collected. Interventional therapy included short-term nerve electrical stimulation (st-NES), pulsed radiofrequency (PRF) and radiofrequency thermocoagulation (RF-TC). Patients were categorized into poor prognosis and control groups based on outcomes 3 months post-discharge. Multivariate logistic regression was used to identify risk factors for poor prognosis. The final analysis included 282 patients. The rate of poor prognosis was 32.6% (92/282). Multivariate logistic regression analysis revealed that age ≥ 65 years (odds ratio, 2.985; 95% confidence interval, 1.449-6.148; p = 0.003), disease duration >3 months (odds ratio, 3.135; 95% confidence interval, 1.685-5.832; p < 0.001), head and face pain (odds ratio, 3.140; 95% confidence interval, 1.557-6.330; p = 0.001), use of immunosuppressants (odds ratio, 2.737; 95% confidence interval, 1.168-6.416; p = 0.021), higher NLR (odds ratio, 1.454; 95% confidence interval, 1.233-1.715; p < 0.001), PRF (st-NES as reference) (odds ratio, 2.324; 95% confidence interval, 1.116-4.844; p = 0.024) and RF-TC (st-NES as reference) (odds ratio, 5.028; 95% confidence interval, 2.139-11.820; p < 0.001) were found to be independent risk factors for poor prognosis in patients with ZAN who underwent interventional pain management. Age ≥ 65 years (odds ratio, 2.985; 95% confidence interval, 1.449-6.148; p = 0.003), disease duration >3 months (odds ratio, 3.135; 95% confidence interval, 1.685-5.832; p < 0.001), head and face pain (odds ratio, 3.140; 95% confidence interval, 1.557-6.330; p = 0.001), immunosuppressants use (odds ratio, 2.737; 95% confidence interval, 1.168-6.416; p = 0.021), higher NLR (odds ratio, 1.454; 95% confidence interval, 1.233-1.715; p < 0.001), PRF (odds ratio, 2.324; 95% confidence interval, 1.116-4.844; p = 0.024) and RF-TC (odds ratio, 5.028; 95% confidence interval, 2.139-11.820; p < 0.001) were identified as independent risk factors for poor prognosis in patients with ZAN who underwent interventional pain management.

Predicting Swallowing Recovery in Subacute Stroke Patients via Temporal and Spatial Parameters of Videofluoroscopy.

The purpose of this study was to identify the temporal and spatial parameters of videofluoroscopic swallowing study (VFSS) that could predict the recovery of swallowing function in subacute stroke patients. We included 102 patients who were admitted to the Department of Rehabilitation Medicine between 2019 and 2022. Patients were classified into good and poor prognosis groups according to whether they had restored prestroke swallowing function or were able to consume sufficient nutrition via oral feeding to meet their body's needs. Univariate and multivariate regression analyses were used to identify the predictors. Calibration and discrimination were tested using the Hosmer-Lemeshow test and area under the curve (AUC), respectively. Of the 102 included patients, 51 had a good prognosis for swallowing function within 6 months of onset. The final multivariate regression model included three significant factors: laryngeal closure duration (LCD) (OR: 0.998; 95% CI: 0.996-0.999; p < 0.05), maximum width of the upper esophageal sphincter opening (MWUESO) (OR: 1.251; 95% CI: 1.073-1.458; p < 0.05), and pharyngeal residual grade (PRG) (p < 0.05). The shorter LCD and larger MWUESO were positive predictors of good swallowing function outcomes, while higher PRG was a negative predictor of good outcomes. The AUC for PRG, MWUESO, and LCD were 0.767 (p < 0.05), 0.738 (p < 0.05), and 0.681 (p < 0.05), respectively. Identifying prognostic factors for the recovery of swallowing function in patients with poststroke dysphagia is essential for developing treatment strategies. The findings of this study may provide an important reference for developing appropriate therapeutic interventions to promote the recovery of swallowing function in stroke patients.

Clinical Value of Coagulation Function Indicators in Children with Severe Pneumonia.

This study aimed to probe the changes in coagulation function-related indicators (prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-dimer (D-D), and fibrinogen degradation product (FDP)) in severe pneumonia and their clinical significance. The levels of coagulation function indicators of all the children were measured within 24 hours of admission. Pearson correlation analysis was utilized to analyze the correlation between PT, APTT, FIB, D-D, FDP and PCIS in children with severe pneumonia. The ROC curve was drawn to assess the power of PT, APTT, FIB, D-D and FDP in diagnosing severe pneumonia and predicting the prognosis of severe pneumonia. A logistic regression analysis was implemented to analyze the factors influencing the prognosis of children with severe pneumonia. PT, APTT, FIB, FDP, and D-D in the critically severe pneumonia and the extremely severe pneumonia groups were higher versus the common pneumonia group (P < 0.05). FDP and D-D levels in children with severe pneumonia were negatively correlated with PCIS. PT, APTT, FIB, FDP, and D-D of children in the poor prognosis group were higher compared with those in the good prognosis group (P < 0.05). Further logistic regression analysis unveiled that FDP and APTT were influential factors impacting the prognosis of severe pneumonia. The levels of D-D, FDP, FIB, APTT, and PT in severe pneumonia are increased. Detecting the contents of coagulation function indicators can help clinical judgment of the changes in the condition of severe pneumonia and evaluate prognosis.

The Systemic Inflammatory Response Index as a Novel Diagnostic Indicator for Bell's Palsy.

Aims/Background The systemic inflammatory response index (SIRI), an emerging hematological marker of inflammation, has shown promise as a promising biomarker for a variety of inflammatory conditions. This study aims to explore the diagnostic role of SIRI in Bell's palsy (BP). Methods For this retrospective study, 73 people diagnosed with BP between January 2021 and December 2023 were recruited, along with 73 healthy controls who were age- and sex-matched. The SIRI and other blood inflammatory markers, including the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), were determined for all participants, by enumerating their peripheral blood cell counts. Facial nerve function was assessed upon admission and after one month of treatment using the House-Brackmann Facial Nerve Grading System (H-B). According to this system, patients with an H-B grade of 1-2 are considered recovered, while those with an H-B grade of 3-6 are regarded as not recovered. Results The SIRI (0.94 vs 0.48, p < 0.001), SII (480.3 vs 329.12, p < 0.001), NLR (2.42 vs 1.41, p < 0.001), and PLR (141.05 vs 117.28, p = 0.001) showed a significant increase in the BP group compared to the control group. The receiver operating characteristic (ROC) curve analysis revealed that the area under the curve (AUC) for SIRI was higher than those for SII, NLR, and PLR, respectively. Upon one-month follow-up, significant differences in the values of SIRI, SII, and NLR were observed between the favorable prognosis group and the poor prognosis group (SIRI: 1.07 vs 0.87, p = 0.011; SII: 647.85 vs 422.11, p = 0.005; NLR: 3.31 vs 2.11, p = 0.013). The AUC of ROC curve for SIRI was found to be lower than that of SII but higher than that of NLR. Conclusion The SIRI has the potential to be an important BP diagnostic and prognostic marker.

Clinical significance of peripheral blood UL16 and DR-70 for the early diagnosis and prognostic evaluation of colorectal cancer.

Early diagnosis of colorectal cancer (CRC) is of great significance to improve the survival rate and quality of life of patients, but early diagnosis of CRC requires more sensitive techniques. Peripheral blood UL16-binding protein 2 (ULBP2) and human fibrinogen degradation products (DR-70) are the main indicators for the diagnosis of malignant tumors. To assess ULBP2 and DR-70 potential for the early diagnosis and prognostic evaluation of CRC to provide a reference. This study involved 60 patients with early-stage CRC (CRC group), 50 patients with benign colorectal tumors (benign group), and 50 healthy patients (control group) enrolled at the Affiliated Hospital of Jiangnan University and Jiangsu Province Official Hospital between January, 2020 and January, 2022. ULBP2 and DR-70 levels in the blood were determined and differences among the three groups and early diagnostic values for CRC were determined. Patients with CRC were divided into the good prognosis and poor prognosis groups, and ULBP2 and DR-70 levels in the blood and diagnostic values were compared. ULBP2 and DR-70 serum levels were significantly higher in the CRC group than in the control and benign groups (P < 0.05); however, no significant differences were observed between the benign and control groups (P > 0.05). Among the 60 patients with CRC followed up for two years, two died (3.33%) and 15 exhibited tumor metastasis, progression, or recurrence (25.00%). ULBP2 and DR-70 serum levels were significantly higher in the poor prognosis group than in the good prognosis group (P < 0.05). A receiver operating characteristic curve was plotted. Area under the curve, sensitivity, and specificity of serum ULBP2 with DR-70 for the early diagnosis of CRC were higher than those of the single serum indices (P < 0.05) in both the good and poor prognosis groups. ULBP2 and DR-70 serum levels were significantly high in patients with early-stage CRC. They improved the diagnostic rate of early-stage CRC and predicted patient prognosis, thereby showing clinical application potential.

Prognostic value of serum total IgE and FeNO levels in children with atopic constitution bronchiolitis

Bronchiolitis is a significant factor contributing to bronchial asthma in infants and young children. After treatment, recurrent wheezing symptoms often occur, especially in children with atopic constitution, who tend to have more severe conditions and poorer prognosis. Therefore, exploring the prognostic value of total serum immunoglobulin E (tIgE) and fractional exhaled nitric oxide (FeNO) levels in children with atopic constitution who suffer from bronchiolitis is of great significance. A total of 260 children with bronchiolitis admitted to our hospital from October 2020 to June 2022 were regarded as the research subjects with prospective study, according to whether the children had atopic constitution, they were grouped into non atopic constitution group (n = 156) and atopic constitution group (n = 104); after 6 months of treatment, children with atopic constitution were grouped into a good prognosis group (n = 58) and a poor prognosis group (n = 46) based on their prognosis; in addition, 260 healthy children who underwent physical examination and had clinical data consistent with those of children with bronchiolitis were regarded as the reference group. The serum tIgE and FeNO levels of each group were compared; multivariate Logistic regression was applied to analyze the prognostic factors of children with atopic constitution bronchiolitis; ROC curve was applied to analyze the predictive value of tIgE and FeNO levels after treatment for the prognosis of children with atopic constitution bronchiolitis. The tIgE levels in the control group, non-atopic group, and atopic group [(123.54 ± 29.62) IU/mL, (245.71 ± 30.59) IU/mL, (316.46 ± 31.78) IU/mL, respectively] increased sequentially, with statistically significant differences (F = 1766.954, P = 0.000). The FeNO levels in the control group, non-atopic group, and atopic group [(8.36 ± 3.57) ppb, (15.28 ± 3.69) ppb, (19.84 ± 3.58) ppb, respectively] also increased sequentially, with statistically significant differences (F = 765.622, P = 0.000). The tIgE, FeNO, proportion of patients with asthma family history, and proportion of patients with allergic family history in the poor prognosis group were obviously higher than those in the good prognosis group (P < 0.05). Multivariate Logistic regression analysis showed that family history of asthma, family history of allergies, tIgE, and FeNO were influencing factors for the prognosis of children with atopic bronchiolitis (P < 0.05). The AUC of the combination of tIgE and FeNO in predicting the prognosis of children with atopic constitutional bronchiolitis was 0.910, with a sensitivity of 78.26% and a specificity of 93.10%, which was superior to the independent prediction of tIgE and FeNO (Zcombined detection−tIgE = 2.442, Zcombined detection−FeNO = 3.080, P = 0.015, 0.002). The levels of tIgE and FeNO in children with atopic constitution bronchiolitis are obviously increased, and the combination of the two has high predictive value for the prognosis of atopic constitution bronchiolitis.

A novel nomogram for predicting the prognosis of critically ill patients with EEG patterns exhibiting stimulus-induced rhythmic, periodic, or ictal discharges

ObjectivesTo explore the factors associated with poor prognosis in critically ill patients with Electroencephalogram (EEG) patterns exhibiting stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs), and to construct a prognostic prediction model. MethodsThis study included a total of 53 critically ill patients with EEG patterns exhibiting SIRPIDs who were admitted to the First Affiliated Hospital of Chongqing Medical University from May 2023 to March 2024. Patients were divided into two groups based on their Modified Rankin Scale (mRS) scores at discharge: good prognosis group (0–3 points) and poor prognosis group (4–6 points). Retrospective analyses were performed on the clinical and EEG parameters of patients in both groups. Logistic regression analysis was applied to identify the risk factors related to poor prognosis in critically ill patients with EEG patterns exhibiting SIRPIDs; a risk prediction model for poor prognosis was constructed, along with an individualized predictive nomogram model, and the predictive performance and consistency of the model were evaluated. ResultsMultivariate logistic regression analysis revealed that APACHE II score (OR=1.217, 95 %CI=1.030∼1.438), slow frequency bands or no obvious brain electrical activity (OR=8.720, 95 %CI=1.220∼62.313), and no sleep waveforms (OR=9.813, 95 %CI=1.371∼70.223) were independent risk factors for poor prognosis in patients. A regression model established based on multivariate logistic regression analysis had an area under the curve of 0.902. The model's accuracy was 90.60 %, with a sensitivity of 92.86 % and a specificity of 89.70 %. The nomogram model, after internal validation, showed a concordance index of 0.904. ConclusionsA high APACHE II score, EEG patterns with slow frequency bands or no obvious brain electrical activity, and no sleep waveforms were independent risk factors for poor prognosis in patients with SIRPIDs. The nomogram model constructed based on these factors had a favorably high level of accuracy in predicting the risk of poor prognosis and held certain reference and application value for clinical neurofunctional assessment and prognostic determination.

Proteomics and digital subtraction angiography approaches reveal CDH18 as a potential target for therapy of moyamoya disease

Moyamoya disease, characterized by basal cerebral artery obstruction, was studied for differential protein expression to elucidate its pathogenesis. Proteomic analysis of cerebrospinal fluid from 10 patients, categorized by postoperative angiography into good and poor prognosis groups, revealed 46 differentially expressed proteins. Notably, cadherin 18 (CDH18) was the most significantly upregulated in the good prognosis group. In addition, the expression of cadherin 18 (CDH18) and phenotypic transformation-related proteins were measured by qRT-PCR and western blot. The effects of CDH18 in vascular smooth muscle cells were detected by CCK-8, EdU, transwell and wound healing assays. The overexpression of CDH18 in vascular smooth muscle cells (VSMCs) was found to inhibit proliferation, migration, and phenotypic transformation. These findings suggest CDH18 as a potential therapeutic target in moyamoya disease.

The Predictive Value of PKC and ET-1 Levels in Cerebrospinal Fluid for Vasospasm and Prognosis in Patients with Aneurysmal Subarachnoid Hemorrhage.

To analyze the predictive value of protein kinase C (PKC) and endothelin-1 (ET-1) in cerebrospinal fluid for vasospasm and prognosis in patients with aneurysmal subarachnoid hemorrhage (ASH). One hundred and forty-eight ASH patients hospitalized in our hospital during February 2019 to February 2022 were optioned as observation subjects. These subjects were graded into good prognosis group (mRS score 0-2, n = 102) and poor prognosis group (mRS score 3-6, n = 46) according to the Rankin Revised Scale Score (mRS) after 6 months of follow-up. Cerebrospinal fluid was collected from patients to detect the content of ET-1 and PKC. The prognostic factors were analyzed using multifactorial logistic regression. The predictive value was assessed using receiver operating characteristic (ROC) curve. The patients with poor prognosis had a higher age level and a higher proportion of ≥2 aneurysms, aneurysm diameter ≥6 mm, cerebral vasospasm, and Hunt-Hess grade ≥III than those with good prognosis (P < 0.05). The patients with poor prognosis had higher content of PKC and ET-1 than those with good prognosis (P < 0.05). Age, aneurysm diameter ≥6 mm, cerebral vasospasm, Hunt-Hess classification ≥grade III, PKC and ET-1 were all risk factors related to the prognosis of ASH (P < 0.05). The area under the curve (AUC) of PKC and ET-1 for diagnosing poor prognosis of ASH was 0.803 and 0.720, respectively. The AUC of the combined detection was 0.873 (P < 0.05). Patients with cerebrovascular spasm had higher content of PKC and ET-1 than those without (P < 0.05). The AUC of PKC and ET-1 for diagnosing cerebral vasospasm in ASH was 0.891 and 0.816, respectively, which was 0.932 for combined detection (P < 0.05). The combination of PKC and ET-1 in cerebrospinal fluid had certain value in predicting the poor prognosis of patients with ASH.

Changes of NLRP3 in serum and cerebrospinal fluid of patients after moderate to severe traumatic brain injury and their predictive values for prognosis.

Traumatic brain injury (TBI) remains a major concern for global health. Recent studies have suggested the role of NOD-like receptor pyrin domain-containing protein 3 (NLRP3), an inflammatory marker, in the cerebrospinal fluid (CSF) and serum as potential indicators of TBI prognosis. The objective of the study was to characterize NLRP3 as a clinically applicable tool for predicting the outcomes of TBI patients. A total of 270 patients with moderate to severe TBI were included in this retrospective analysis. Serum and CSF samples were collected at 1-, 3-, 7-, and 21-day post-injury to measure NLRP3 levels. The prognosis of patients was evaluated after 3 months using the Glasgow Outcome Scale (GOS). Patients were categorized into good prognosis (GOS score >3) and poor prognosis (GOS score ≤3) groups. The relationship between NLRP3 levels and prognosis was analyzed. Patients with poor prognosis had significantly elevated NLRP3 levels in their serum on days 1 and 3 post-injury compared with those with a good prognosis. The difference was more pronounced during these early days compared with days 7 and 21. However, NLRP3 levels in CSF consistently showed a large difference between the two groups throughout the observation period. Receiver operating characteristic analysis revealed that the level of NLRP3 in the CSF on day 3 post-injury had the highest predictive value for prognosis, with an area under the curve of 0.83, followed by the level of NLRP3 in the serum on day 3 post-injury. The levels of NLRP3, especially in the CSF on day 3 post-injury, can serve as a potential biomarker for predicting prognosis in moderate to severe TBI patients. Early measurement of NLRP3 levels can provide valuable insights into patient outcomes and guide therapeutic strategies.

Prediction of treatment outcome for branch retinal vein occlusion using convolutional neural network-based retinal fluorescein angiography

Deep learning techniques were used in ophthalmology to develop artificial intelligence (AI) models for predicting the short-term effectiveness of anti-VEGF therapy in patients with macular edema secondary to branch retinal vein occlusion (BRVO-ME). 180 BRVO-ME patients underwent pre-treatment FFA scans. After 3 months of ranibizumab injections, CMT measurements were taken at baseline and 1-month intervals. Patients were categorized into good and poor prognosis groups based on macular edema at the 4th month follow-up. FFA-Net, a VGG-based classification network, was trained using FFA images from both groups. Class activation heat maps highlighted important locations. Benchmark models (DesNet-201, MobileNet-V3, ResNet-152, MansNet-75) were compared for training results. Performance metrics included accuracy, sensitivity, specificity, F1 score, and ROC curves. FFA-Net predicted BRVO-ME treatment effect with an accuracy of 88.63% and an F1 score of 0.89, with a sensitivity and specificity of 79.40% and 71.34%, respectively.The AUC of the ROC curve for the FFA-Net model was 0.71. The use of FFA based on deep learning technology has feasibility in predicting the treatment effect of BRVO-ME. The FFA-Net model constructed with the VGG model as the main body has good results in predicting the treatment effect of BRVO-ME. The typing of BRVO in FFA may be an important factor affecting the prognosis.

Systemic immune-inflammation index combined with pediatric appendicitis score in assessing the severity and prognosis for paediatric appendicitis.

Pediatric appendicitis is a common cause of abdominal pain in children and is recognized as a significant surgical emergency. A prompt and accurate diagnosis is essential to prevent complications such as perforation and peritonitis. To investigate the predictive value of the systemic immune-inflammation index (SII) combined with the pediatric appendicitis score (PAS) for the assessment of disease severity and surgical outcomes in children aged 5 years and older with appendicitis. Clinical data of 104 children diagnosed with acute appendicitis were analyzed. The participants were categorized into the acute appendicitis group and chronic appendicitis group based on disease presentation and further stratified into the good prognosis group and poor prognosis group based on prognosis. The SII and PAS were measured, and a joint model using the combined SII and PAS was constructed to predict disease severity and surgical outcomes. Significant differences were observed in the SII and PAS parameters between the acute appendicitis group and chronic appendicitis group. Correlation analysis showed associations among the SII, PAS, and disease severity, with the combined SII and PAS model demonstrating significant predictive value for assessing disease severity [aera under the curve (AUC) = 0.914] and predicting surgical outcomes (AUC = 0.857) in children aged 5 years and older with appendicitis. The study findings support the potential of integrating the SII with the PAS for assessing disease severity and predicting surgical outcomes in pediatric appendicitis, indicating the clinical utility of the combined SII and PAS model in guiding clinical decision-making and optimizing surgical management strategies for pediatric patients with appendicitis.

Clinical and electrophysiological prognostic factors in predicting poor outcomes in patients with idiopathic facial nerve paralysis

ObjectiveThis study was designed to verify whether one or more clinical and neurophysiological parameters could predict a poor prognosis in idiopathic facial paralysis. MethodsSeventy-three outpatients with unilateral idiopathic facial nerve paralysis who visited our hospital within 7 days of onset. All patients received treatment according to a standard therapy protocol and ocular care. Patients’ baseline characteristics were assessed before initiating treatment, including demographic characteristics, facial nerve function assessment and previous medical history. House-Brackmann (H-B) grading system was performed at baseline and six months after the onset. Electroneurography (ENoG) and blink reflex tests were conducted 7–10 days after the onset of paralysis. Sunnybrook Facial Grading System (SFGS) was conducted at baseline, days 7–10 post-onset when the electrophysiological tests were performed, and one month after the onset. ResultsAccording to the H-B grade at 6 months following the onset, 58 patients (79.5 %) had a good prognosis, while 15 patients (20.5 %) had a poor prognosis. The CMAP amplitudes in three facial muscles (frontalis, orbicularis oculi, and orbicularis oris) were decreased, and ENoG values were increased in the poor prognosis group compared with the good prognosis group (all p < 0.01). The results of the blink reflex study showed that the group with a poor prognosis had a longer R1 latency compared to the group with a good prognosis. Additionally, the group with a poor prognosis exhibited a higher rate of R1 absence on the affected side (both p < 0.01). The findings of conditional logistic regression indicated that the absence of R1 on the affected side, frontalis ENoG, orbicularis oculi ENoG, and orbicularis oris ENoG were predictive factors of a poor prognosis for facial nerve palsy. The receiver operating characteristic (ROC) curves showed that the SFGS at 1 month after onset of 55 is considered a critical cutoff value for poor prognosis, with a sensitivity of 86.7 % and specificity of 91.4 %. ConclusionElectroneurography (ENoG) and blink reflex tests acquired within 7–10 days after the onset of paralysis are significant and highly valuable for predicting the prognosis of idiopathic facial nerve paralysis. Higher ENoG values of the muscles innervated by the facial nerve and the absence of R1 on the affected side of the blink reflex are predictive factors for a poor prognosis. The SFGS is a clinical tool that plays an important role in evaluating the prognosis of idiopathic facial paralysis, particularly one month after onset.

Association of CTLA-4 gene polymorphisms with the genetic susceptibility and prognosis of patients with Bladder urothelial carcinoma

To assess the association of cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) gene polymorphisms with the prognosis of patients with Bladder urothelial carcinoma (BUC). From February 2019 to October 2020, 256 BUS patients treated at the Xinxiang Central Hospital were selected as the study group, whilst 250 healthy individuals were selected as the control group. Genotypes of rs5742909 (-318C/T), rs231775 (+49A/G) and rs4553808 (-1661A/G) were determined by PCR-restriction fragment length polymorphism assay. The frequencies of genotypes and alleles of the CTLA-4 gene were compared between the two groups. All patients had undergone surgical treatment and were followed up for 3 years and divided into good prognosis group (n = 166) and poor prognosis group (n = 86) based on the status of disease. The distribution of alleles and genotypes were compared, and Kaplan-Meier analysis was used to assess the association of genetic polymorphisms with the prognosis. No significant difference was found in the gender, age, BMI, smoking history and alcohol use between the two groups (P > 0.05). The frequencies of GG genotype and G allele for the rs231775 (+49A/G) and rs4553808 (-1661A/G) loci were significantly higher in the study group compared with the control group (P < 0.05), whilst no statistical difference was found in the genotypic and allelic frequency for the rs5742909 locus between the two groups (P > 0.05). Among the 252 subjects who had completed follow-up, 86 had poor prognosis and 166 had good prognosis. The frequencies of GG genotype and G allele at the rs231775 (+49A/G) and rs4553808 (-1661A/G) loci were significantly lower in the good prognosis group compared with the poor prognosis group (P < 0.05). Kaplan-Meier survival curve analysis showed that the survival time of patients with GG genotype for the rs231775 (+49A/G) and rs4553808 (-1661A/G) loci was significantly shorter than patients with AA or AG genotypes (Log Rank 2 = 13.654, 9.974, P < 0.001). The polymorphisms of the rs231775 and rs4553808 loci of the CTLA-4 gene are associated with genetic susceptibility and poor prognosis for BUC, and a higher GG genotypic frequency may increase the risk for infection and poor prognosis of the patients.

Changes of β2-microglobulin and electrolytes in different stages of COPD and their value in evaluating prognosis

Background: To investigate the changes of β2-microglobulin and electrolyte in different stages of chronic obstructive pulmonary disease (COPD) and the value of evaluating prognosis. Methods: A retrospective study was undertaken on 120 patients diagnosed with COPD and treated at our hospital between February 1, 2020, and January 31, 2023. These patients were classified into three groups based on the GOLD classification: mild (FEV1 &gt; 81%), moderate (51% &lt; FEV1 ≤ 80%), and severe (FEV1 ≤ 50%). As a control group, 40 healthy individuals who had routine examinations during the same period were selected. The COPD patients were then followed up and divided into a good prognosis group (n = 67) and a poor prognosis group (n = 53). The levels of β 2-microglobulin and electrolytes were measured in patients with different stages of the disease and different prognoses. Kendall's tau-b and ordered logistic regression were employed to analyze how the changes in β 2-microglobulin and electrolyte levels correlated with disease severity. Furthermore, the prognostic value of β 2-microglobulin and electrolyte levels in COPD was assessed using an ROC curve. Results: In comparison to the control group, the severity of COPD patients displayed a notable increase in β 2-microglobulin levels, while there was a significant decrease in levels of calcium, chlorine, potassium, and sodium. Kendall's tau-b correlation coefficient analysis indicated a positive correlation between COPD severity and β 2-microglobulin, and a negative correlation between COPD severity and levels of calcium, chlorine, potassium, and sodium. Logistic regression analysis revealed that there was a positive correlation between disease severity and β 2-microglobulin, and a negative correlation between disease severity and levels of calcium, chlorine, potassium, and sodium. Furthermore, the poor prognosis group exhibited a significant increase in β 2-microglobulin levels, alongside a significant decrease in levels of calcium, chlorine, potassium, and sodium compared to the good prognosis group (P &lt; 0.05). ROC curve analysis demonstrated that a combined detection of β 2-microglobulin, calcium, chlorine, potassium, and sodium yielded significantly higher area under the curve, sensitivity, and specificity values compared to single detection methods, highlighting its significant predictive value for COPD prognosis. Conclusion: Patients who presented with a more severe form of the disease exhibited elevated levels of β 2-microglobulin and reduced electrolyte levels. Prognostic accuracy was significantly enhanced when β 2-microglobulin and electrolyte levels were analyzed together, offering a superior method for predicting patient outcomes.

A nomogram model for predicting postoperative prognosis in patients with aneurysmal subarachnoid hemorrhage using preoperative biochemical indices

ObjectiveThe nutritional status and inflammatory responses of patients with aneurysmal subarachnoid hemorrhage (aSAH) play a vital prognostic role. We investigated the relationship between preoperative prognostic nutritional index (PNI)、neutrophil/albumin ratio (NAR)、platelet/albumin ratio (PAR) and other factors and the clinical prognosis of patients who underwent clipping for aSAH and its predictive model.MethodsThe clinical data of 212 patients with aSAH who underwent neurosurgery at Nanyang Central Hospital between 2018 and 2023 were retrospectively analyzed. Based on the Glasgow Outcome Scale (GOS) score at 6 months postoperatively, the patients were categorized into two groups: poor (GOSI-III) and good (GOSIV-V) prognosis groups. Multivariate logistic regression analysis was performed to determine the predictive value of preoperative PNI、NAR、PAR、hyperlipidemia and Glasgow Coma Scale (GCS) for prognosis. Furthermore, nomograms and prognostic prediction models were constructed. Receiver operating characteristic curves and area under the curve (AUC) were utilized to determine the predictive values.ResultsMultivariate logistic regression analysis revealed that PNI (OR = 1.250, 95%CI 1.060 ~ 1.475, P = 0.008), NAR (OR = 0.000, 95%CI 0.000 ~ 0.004, P = 0.000), PAR(OR = 0.515, 95%CI 0.283 ~ 0.937, P = 0.030), hyperlipidemia (OR = 4.627, 95%CI 1.166 ~ 18.367, P = 0.029), and GCS(OR = 1.446, 95%CI 1.041 ~ 2.008, P = 0.028) are independent risk factors for poor postoperative prognosis. The total score of the nomogram was 200, and the AUC value was 0.972.ConclusionsPNI and NAR can reflect the nutritional status and inflammatory responses of patients.They are significantly associated with the postoperative prognosis of patients with aSAH. Comprehensively analyzing PNI and NAR combined with other clinical indicators can more effectively guide treatment and help predict prognosis.