Risk Factor For Poor Prognosis Research Articles

Predictive role of PAR and LAR in refractory suppurative meningitis in infants

BackgroundMeningitis can be caused by a variety of pathogenic microorganisms, which can lead to higher mortality and disability rates. However, the clinical manifestations of suppurative meningitis are often atypical in infants and young children, which makes early clinical diagnosis difficult.PAR and LAR are considered as a novel inflammatory biomarker and have been applied in tumors, IgA nephropathy, sepsis.ObjectiveTo investigate the application of platelet/albumin (PAR) and lactate dehydrogenase/albumin (LAR) in refractory suppurative meningitis in infants.MethodsThe relevant clinical data of 107 children with suppurative meningitis were retrospectively analyzed, and were divided into common group (82 cases) and refractory group (25 cases) according to the severity of the disease according to the relevant clinical consensus. The relevant clinical data and laboratory examination of the children in the two groups were compared. The diagnostic value of PAR and LAR in children with refractory suppurative meningitis was analyzed and multivariate Logistic regression analysis was performed.ResultThe PAR of children with suppurative meningitis in refractory group was lower than that in common group (P < 0.05), while LAR was higher than that in common group (P < 0.05). Meanwhile, multivariate Logistic regression analysis showed that LAR and cerebrospinal fluid glucose ≤ 1.5mmo/L were risk factors for poor prognosis (OR > 1, P < 0.05). PAR was a protective factor (OR < 1, P < 0.05).ConclusionPAR and LAR can be used for early diagnosis of refractory suppurative meningitis in children as protective and risk factors, respectively.

GDNF-induced phosphorylation of MUC21 promotes pancreatic cancer perineural invasion and metastasis by activating RAC2 GTPase.

Perineural invasion (PNI) is an adverse prognostic feature of pancreatic ductal adenocarcinoma (PDAC). However, the understanding of the interactions between tumors and neural signaling within the tumor microenvironment is limited. In the present study, we found that MUC21 servers as an independent risk factor for poor prognosis in PDAC. Furthermore, we demonstrated that MUC21 promoted the metastasis and PNI of PDAC cells by activating JNK and inducing epithelial-mesenchymal transition (EMT). Mechanistically, glial cell-derived neurotrophic factor, secreted by Schwann cells, phosphorylates the intracellular domain S543 of MUC21 via CDK1 in PDAC cells, facilitating the interaction between MUC21 and RAC2. This interaction leads to membrane anchoring and activation of RAC2, which in turn activates the JNK/ZEB1/EMT axis, ultimately enhancing the metastasis and PNI of PDAC cells. Our results present a novel mechanism of PNI, suggesting that MUC21 is a potential prognostic marker and therapeutic target for PDAC.

High blood glucose variability may predict poor outcomes in patients with spontaneous cerebellar hemorrhage undergoing surgical operation: a retrospective study

BackgroundElevated blood glucose (BG) variability has been reported as an independent risk factor for poor prognosis in a variety of diseases. This study aimed to investigate the association between BG variability and clinical outcomes in patients with spontaneous cerebellar hemorrhage (SCH) undergoing surgical operation.MethodsThis retrospective cohort study of the consecutive patients admitted to the department of Neurosurgery, the Affiliated Hospital of Qingdao University between January 2014 and June 2022 with the diagnosis of SCH underwent surgical intervention. BG analysis was continuously and routinely performed. BG variability was represented by the standard deviation (SD) of the serial measurements within the first 7 days. The general characteristics, imageological information, blood glucose level, and surgical information were reviewed and compared through medical records.ResultsA total of 115 patients (65 male and 50 female) were enrolled. Out of all 115 patients, the overall clinical outcomes according to the modified Rankin Scale (mRS) were poor (mRS 3–6) in 31 patients (26.96%) and good (mRS 0–2) in 84 patients (73.04%). Twelve of the 115 patients died during hospitalization, and the mortality rate was 10.43%. Multivariate logistic regression analysis showed that SD of BG (odds ratio (OR), 4.717; 95% confidence interval (CI), 1.054–21.115; P = 0.043), GCS (OR, 0.563; 95% CI, 0.330–0.958; P = 0.034), and hematoma volume (OR, 1.395; 95% CI, 1.118–1.748; P = 0.003) were significant predictors. The area under the ROC curve of SD of BG was 0.911 (95% CI, 0.850–0.973; P < 0.001) with a sensitivity and specificity of 90.3% and 83.3%, respectively, and the cut-off value was 1.736.ConclusionsHigh BG Variability is independently correlated with the 6-month poor outcomes in patients with SCH undergoing surgical operation.

Prognostic value of serum high-mobility group box 1 in neonates with neonatal encephalopathy.

This study aimed to investigate the diagnostic potential of serum high-mobility group box 1 (HMGB1) in neonatal encephalopathy (NE). A retrospective study was conducted, analyzing 216 neonates diagnosed with NE. The neonates were divided into two groups based on their outcomes at 28 days. Serum HMGB1 levels were compared between the two groups. ROC analysis was used to determine the predictive value of HMGB1. At 28 days, 174 infants had a good prognosis, while 42 had a poor prognosis. Infants with a poor prognosis had higher serum HMGB1 concentrations within 24 h of birth. Multifactorial analysis revealed that extremely preterm birth, extremely low birth weight, an Apgar score of 0-3 at 5 min, premature rupture of membranes by the mother, moderate to severe NE, and serum HMGB1 > 6.14 ng/mL are independent risk factors for poor prognosis. HMGB1 has predictive value for short-term prognosis with an area under the curve of 0.79. Elevated HMGB1 levels in the acute phase of NE are associated with poor short-term neonatal outcomes. The decrease in HMGB1 concentrations over time correlates with a good prognosis; whereas an increase suggests a poor prognosis. Early measurement of serum HMGB1 could aid in the prognostic assessment of neonates with NE. Although serum HMGB1 has emerged as a potential predictor of neonatal outcomes in neonatal encephalopathy, the relationship of HMGB1 levels to neonatal encephalopathy severity remains unclear. The current results demonstrate that infants with a poor prognosis had higher serum HMGB1 concentrations within 24 h of birth. Importantly, elevated serum HMGB1 levels in the acute phase of neonatal encephalopathy are associated with poor short-term neonatal outcomes. Our findings reveal the clinical values of HMGB1 in the prediction of neonatal outcomes in NE patients.

Immune checkpoint inhibitor-associated new-onset hypophysitis: a retrospective analysis using the FAERS.

Our study aimed to investigate the prevalence and demographic characteristics of immune checkpoint inhibitor-associated hypophysitis (ICI-hypophysitis) using data from the FAERS, and the risk factors of prognosis were explored. In this retrospective study, all cases of newly-diagnosed hypophysitis associated with FDA approved ICIs from 1st January 2007 to 31st December 2022 were accumulated using FAERS. Demographic data including age, sex, body weight, the prognosis of cases, and other co-occurred endocrinopathies induced by ICIs were analyzed and compared between different subgroups of immunotherapy. The reporting frequency of ICI-hypophysitis was 1.46% (2343/160089). Patients on the combination therapy had higher risk of hypophysitis reporting, followed by anti-CTLA-4 agent compared with other monotherapies (p < 0.001). Male subjects displayed higher reporting risk of ICI-hypophysitis (p = 0.015). Patients on anti-PD-1 therapy or the combination therapy showed higher occurrence rate of type 1 diabetes (anti-PD-1 vs. anti-PD-L1 vs. anti-CTLA-4 vs. combination therapy, 4.2% vs. 0.7% vs. 0.3% vs. 8.4%, p < 0.001). The occurrence rate of new-onset thyroid diseases in patients receiving combination therapy was higher than anti-PD-1 monotherapy (12.3% vs. 8.4%, p = 0.010). Elder age, lung cancer, and renal cancer emerged to be positively associated with severe clinical outcomes [>65 years, OR 1.042, 95%CI (1.022-1.063), p < 0.001; lung cancer, OR 1.400, 95%CI (1.019-1.923), p = 0.038; renal cancer, OR 1.667, 95%CI (1.153-2.412), p = 0.007]. Anti-CTLA-4 monotherapy was discovered to be a protective factor of severe outcomes [OR 0.433, 95%CI (0.335-0.558), p < 0.001]. Female sex and co-occurrence of ICI-related diabetes exhibited lower risk of death [female, OR 0.571, 95%CI (0.361-0.903), p = 0.017; diabetes, OR 0.090, 95%CI (0.016-0.524), p = 0.007]. ICI-induced hypophysitis is male-predominant irAE, most commonly seen in patients on anti-CTLA-4 mono- or combination therapy. Awareness among clinicians is critical when patients with elder age, lung or renal cancer develop hypophysitis, which indicates poor clinical outcomes. Female sex, anti-CTLA-4 monotherapy and co-occurrence of ICI-related diabetes are protective risk factors for poor prognosis.

High-expression of FABP4 in Tubules is a Risk Factor for Poor Prognosis in DKD Patients.

Lipid metabolism imbalance is involved in the mechanism of renal tubular injury in diabetic kidney disease (DKD). Fatty acid binding protein 4 (FABP4) has been reported to participate in cellular lipid toxicity. However, the expression of FABP4 in renal tissues of DKD and its correlation with clinical/ pathological parameters and prognosis have not been studied. A retrospective cohort study was conducted in 108 hospitalized Type 2 diabetes (T2D) patients with renal injury, including 70 with DKD and 38 with NDKD (non-DKD). Clinical features, pathological findings, and follow-up parameters were collected. Serum and urine FABP4 were detected by ELISA. An immunohistochemistry stain was used to determine FABP4 in renal tubulointerstitium. A double immunofluorescence stain was employed to assess FABP4- and CD68-positive macrophages. Correlation analysis, logistic regression models, receiver operating characteristic (ROC), and Kaplan-Meier survival curve were performed for statistical analysis. DKD patients had increased expression of FABP4 and ectopic fat deposition in tubules. As shown by correlation analyses, FABP4 expression in renal tubules was positively correlated with UNAG (r=0.589, p=0.044) and ESRD (r=0.740, p=0.004). Multivariate regression analysis revealed that UNAG level was correlated with FABP4 expression level above median value (odds ratio:1.154, 95% confidence interval:1.009-1.321, p=0.037). High-expression of FABP4 in renal tubules of DKD was at an increased risk of ESRD. Increased FABP4 expression in inflammatory cells was also associated with ESRD in DKD. High-expression of FABP4 is involved in the pathogenesis of renal tubular lipid injury and is a risk factor for poor prognosis in DKD patients.

Sex Differences in Outcome of Aneurysmal Subarachnoid Hemorrhage and Its Relation to Postoperative Cerebral Ischemia.

Whether there is a sex difference in the outcome of aneurysmal subarachnoid hemorrhage (aSAH) remains controversial, and clarifying the role of women in postoperative cerebral ischemic events can help us to understand its relationship with poor prognosis. Therefore, the purpose of this study was to elucidate the relationship between the three aspects of sex differences, postoperative cerebral ischemia, and poor prognosis after aSAH. A total of 472 patients admitted within 72h after aSAH between January 2018 and December 2022 were included. We systematically analyzed the characteristics of sex differences in aSAH and explored the relationship between delayed cerebral ischemia (DCI), surgery-related cerebral infarction (SRCI), and poor prognosis (modified Rankin Scale > 2). Compared with women, men were in worse condition and had more intracerebral hematoma (p = 0.001) on admission, whereas women were older (p < 0.001) and had more multiple aneurysms (p = 0.002). During hospitalization, men were more likely to experience emergency intubation (p = 0.036) and tracheotomy (p = 0.013). Women achieved functional independence at discharge at a similar rate to men (p = 0.394). Among postoperative complications, the incidence of DCI (22% vs. 12%, p = 0.01) and urinary tract infection (p = 0.022) was significantly higher in women. After adjusting for age, multivariable regression analysis showed that hypertension (odds ratio [OR] 2.139, 95% confidence interval [CI] 1.027-4.457), preoperative rerupture (OR 12.240, 95% CI 1.491-100.458), pulmonary infection (OR 2.297, 95% CI 1.070-4.930), external ventricular drainage placement (OR 4.382, 95% CI 1.550-12.390), bacteremia (OR 14.943, 95% CI 1.412-158.117), SRCI (OR 8.588, 95% CI 4.092-18.023), venous thrombosis (OR 5.283, 95% CI 1.859-15.013), higher modified Fisher grades (p = 0.003), and Hunt-Hess grades (p = 0.035) were associated with poor prognosis, whereas DCI (OR 1.394, 95% CI 0.591-3.292) was not an independent risk factor for poor prognosis. The proportion of patients who fully recovered from cerebral ischemia was higher in the DCI group (p < 0.001) compared with the SRCI group, and more patients were discharged with modified Rankin Scale > 2 in the SRCI group (p = 0.005). Women have a higher incidence of DCI, but there is no sex difference in outcomes after aSAH, and poor prognosis is associated with worse admission condition and perioperative complications. SRCI is a strong independent risk factor for poor prognosis, whereas DCI is not.

Correlations of high miRNA expressions with traditional proteins and prognosis of breast cancer

Abstract Background In this study, we aimed to analyze the correlations of high expressions of micro ribonucleic acids (miRNAs) with traditional proteins and prognosis of breast cancer. Methods The clinical data of 60 breast cancer patients treated from August 2018 to July 2019 were retrospectively analyzed. All the patients received radical mastectomy combined with postoperative adjuvant chemoradiotherapy and were followed up for 3 years after treatment. The 3-year survival was recorded. The surviving patients were included in a good prognosis group, and the deceased ones were assigned to a poor prognosis group. The levels of miRNAs (miR-182, miR-155, and miR-217) and traditional breast cancer proteins [estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (CerbB-2/HER-2), and cell proliferation factor-67 (Ki-67)] were measured. Receiver operating characteristic (ROC) curve was plotted to investigate the predictive value of miRNA levels for poor prognosis. Results The relative expressions of miR-182, miR-155 and miR-217 were negatively correlated with ER and PR (r&lt;0, P&lt;0.05), but positively correlated with positive Ki-67 expression (r&gt;0, P&lt;0.05). High relative expressions of miR-182, miR-155 and miR-217 and positive Ki-67 expression were risk factors for poor prognosis, and the positive expressions of ER and PR were protective factors (OR&lt;1, P&lt;0.05). The areas under the curves of the relative expressions of miR-182, miR-155 and miR-217 and combined detection for predicting poor prognosis all exceeded 0.70. The combined detection had the highest predictive value. Conclusions The high expressions of miR-182, miR-155 and miR-217 are correlated with the expressions of traditional breast cancer proteins ER, PR, and Ki-67, and may predict the prognosis of breast cancer patients.

Analysis of Clinical and Radiologic Parameters in Children Diagnosed with COVID-19 Infection at Admission and Discharge

Background: Recognizing risk factors for poor prognosis among COVID-19 patients is crucial, especially given the absence of standardized treatments and medications. Objectives: In the present study, our aim was to survey changes in clinical parameters in children diagnosed with COVID-19 infection from admission to discharge. Methods: The present retrospective cross-sectional study focused on children with COVID-19 infection. All demographic data and clinical information of patients were extracted upon admission and at discharge from the hospital. Data analysis utilized the Mann-Whitney U test and Fisher exact test. Multivariable regression modeling was employed to identify factors predicting the probability and duration of hospitalization in ICUs for children with COVID-19. Results: Elevated levels of ESR, CRP, creatinine, and ferritin were found in 51.7%, 67.4%, 69.3%, and 53.6% of patients upon admission. Moreover, 98.2% and 38.3% of patients had high levels of ALP and AST. Platelet (PLT) and neutrophil levels were higher at discharge compared to admission (P &lt; 0.001), while creatinine levels were lower at admission than at discharge (P &lt; 0.001). Patients admitted to ICUs exhibited significantly higher levels of pulse rate (P &lt; 0.001), respiratory rate (P &lt; 0.001), mean corpuscular volume (MCV) (P = 0.01), red cell distribution width (RDW) (P = 0.002), prothrombin time (PT) (P = 0.006), and ESR (P = 0.04). Conclusions: Pulse rate, respiratory rate, MCV, RDW, PT, ESR, and oxygen saturation (SPO2) percentage can be used to predict the severity of COVID-19 disease. However, further studies are needed to determine the prognosis and severity of COVID-19 infection in children.

Microsurgical clipping of unruptured intracranial aneurysms: Clinical and radiological outcomes

Background and objectivesThe prevalence of unruptured intracranial aneurysms is 1–3%. The annual rupture rate increases in patients with multiple aneurysms that presented a previous hemorrhage from another aneurysm. ObjectivesTo evaluate outcomes of clipping unruptured aneurysms, comparing patients with single or multiple aneurysms clipped, describe the complications related to surgery and to identify risk factors predicting an unfavorable outcome. Materials and methodsRetrospective study including patients who underwent clipping of unruptured aneurysms between 2020–2023 at our center. Occlusion rate, complications, and functional outcome were analyzed. Risk factors for poor prognosis are identified using univariate model. Results82 patients with 114 aneurysms were treated with microsurgery. Multiple aneurysms were clipped in 22 patients. A mini-open approach was used in 86,5% of cases. Complete occlusion in angio3D was found in 78.6% of clipped aneurysms. Complication rate was 12.2%, including asymptomatic cases. Mortality was 0%. The probability of 1 point mRS worsening was 7.3% and 2 or more points was 1.2%, with a good functional outcome in 98.9%. Clipping multiple aneurysms, miniopen approaches, or surgery in patients with previous subarachnoid hemorrhage did not increase the risk of complications. Posterior circulation aneurysms surgery increased the risk of ischemia. ConclusionsThe management for unruptured intracranial aneurysms should be multimodal and based on clinical and radiological outcomes. Microsurgery is a valid and safe technique, with 0% mortality and bleeding rates and 1,2% rate of severe morbidity in our series.

Prediction of prognosis in patients with systemic sclerosis based on a machine-learning model.

The clinical manifestations of systemic sclerosis (SSc) are highly variable, resulting in varied outcomes and complications. Diverse fibrosis of the skin and internal organs, vasculopathy, and dysregulated immune system lead to poor and varied prognoses in patients with SSc subtypes. Therefore, this study aimed to develop a personalized tool for predicting the prognosis of patients with SSc. A cohort of 517 patients with SSc were recruited between January 2009 and November 2021 at Xijing Hospital in China, and 266 patients completed the follow-up and performed in the survival analysis. Risk factors for death were identified using Cox survival analysis and random survival forest-based machine-learning methods separately. The consistency index, area under the curve (AUC), and integrated Brier scores were used to compare the predictive performance of the different prognostic models. The results of Cox-based multivariate regression analysis suggested that pulmonary arterial hypertension, digital ulcer, and Modified Rodnan Skin Score (mRSS) were independent risk factors for poor prognosis in patients with SSc and significant risk factors in random survival forest (RSF) surveys. A nomogram was plotted to evaluate the prognostic risk to facilitate clinical assessment; the RSF model had better predictive performance than the Cox model, with 3- and 5-year AUCs of 0.74 and 0.78, respectively. Machine-learning models can help us better understand the prognosis of patients with SSc and comprehensively evaluate the clinical characteristics of each individual. The early identification of the characteristics of high-risk patients can improve the prognosis of those with SSc. Key Points • Regarding predictive performance, the random survival forest model was more effective than the Cox model and had unique advantages in analyzing nonlinear effects and variable importance. • Machine learning using the simple clinical features of patients with systemic sclerosis (SSc) to predict mortality can guide attending physicians, and the early identification of high-risk patients with SSc and referral to experts will assist rheumatologists in monitoring and management planning.

S100A8/A9hi neutrophils induce mitochondrial dysfunction and PANoptosis in endothelial cells via mitochondrial complex I deficiency during sepsis

S100a8/a9, largely released by polymorphonuclear neutrophils (PMNs), belongs to the S100 family of calcium-binding proteins and plays a role in a variety of inflammatory diseases. Although S100a8/a9 has been reported to trigger endothelial cell apoptosis, the mechanisms of S100a8/a9-induced endothelial dysfunction during sepsis require in-depth research. We demonstrate that high expression levels of S100a8/a9 suppress Ndufa3 expression in mitochondrial complex I via downregulation of Nrf1 expression. Mitochondrial complex I deficiency contributes to NAD+-dependent Sirt1 suppression, which induces mitochondrial disorders, including excessive fission and blocked mitophagy, and mtDNA released from damaged mitochondria ultimately activates ZBP1-mediated PANoptosis in endothelial cells. Moreover, based on comprehensive scRNA-seq and bulk RNA-seq analyses, S100A8/A9hi neutrophils are closely associated with the circulating endothelial cell count (a useful marker of endothelial damage), and S100A8 is an independent risk factor for poor prognosis in sepsis patients.

The prognostic impact of severe grade immune checkpoint inhibitor related pneumonitis in non-small cell lung cancer patients.

To compare the prognostic differences between non-small cell lung cancer (NSCLC) patients with mild and severe checkpoint inhibitor-associated pneumonitis (CIP), and explore the causes of death and prognostic risk factors in NSCLC patients with severe CIP. A retrospective study of a cohort of 116 patients with unresectable stage III or IV NSCLC with any grade CIP from April 2016 to August 2022 were conducted. To analyze the clinical characteristics of patients with different CIP grades, patients were divided into mild CIP group (grade 1-2, n=49) and severe CIP group (grade 3-5, n=67) according to the grade of CIP. To explore the OS-related risk factors in the severe CIP group, the patients were divided into a good prognosis (GP) group (≥ median OS, n=30) and a poor prognosis (PP) group (< median OS, n=37) based on whether their overall survival (OS) were greater than median OS. Baseline clinical and laboratory data were collected for analysis. The median OS of all NSCLC patients combined with CIP was 11.4 months (95%CI, 8.070-16.100), The median OS for mild CIP and severe CIP was 22.1 months and 4.4 months respectively (HR=3.076, 95%CI, 1.904-4.970, P<0.0001). The results showed that the most common cause of death among severe CIP patients in the PP group was CIP and the most common cause in the GP group was tumor. The univariate regression analysis showed that suspension of antitumor therapy was a risk factor for poor prognosis (OR=3.598, 95%CI, 1.307-9.905, p=0.013). The multivariate logistic regression analysis showed that suspension of anti-tumor therapy (OR=4.24, 95%CI, 1.067-16.915, p=0.040) and elevated KL-6 (OR=1.002, 95%CI, 1.001-1.002, p<0.001) were independent risk factors for poor prognosis. In conclusion, patients with severe CIP had a poor prognosis, especially those with elevated KL-6, and the main cause of death is immune checkpoint inhibitor-associated pneumonitis complicated with infection. In addition, anti-tumor therapy for severe CIP patients should be resumed in time and should not be delayed for too long.

Exploration of the prognostic value of methylation regulators related to m5C in papillary thyroid carcinoma.

The incidence of papillary thyroid carcinoma (PTC) has increased significantly in recent years, and for patients with metastatic and recurrent PTC, the options for treatment currently available are insufficient. To date, the exact molecular mechanism underlying PTC is still not fully understood. 5-Methylcytosine (m5C) RNA methylation is associated with the prognosis of a variety of tumors. However, the molecular mechanisms and biomarkers associated with m5C in the diagnosis, treatment, and prognosis of this disease have not been fully elucidated. Ten m5C regulators with significantly different expression levels were included in this study. Immune infiltration analysis revealed significant negative correlations between most of these regulators and regulatory T cells. TRDMT1, NSUN5, and NSUN6 had high weights and strong correlations in the protein-protein interaction network. Using gene ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment analysis, 1489 differentially expressed genes were screened from The Cancer Genome Atlas messenger RNA matrix, indicating that these differentially expressed genes were significantly enriched in various pathways and functions related to cancers. Four m5C regulators, NSUN2, NSUN4, NSUN6, and DNMT3B, were screened as prognostic markers by least absolute shrinkage and selection operator regression analysis, and NSUN2 and NSUN6 were identified as risk factors for poor prognosis. We found that the prognostic prediction model constructed using the m5C regulators NSUN2, NSUN4, NSUN6, and DNMT3B showed good prognostic prediction ability and diagnostic ability. This model was applied to predict the survival probability of patients with PTC, the prediction ability of 5-year survival was the best. The multi-factor prognostic prediction model combined with the tumor node metastasis stage and risk score grouping showed better prognostic predictive power.

A single-center, retrospective study of hospitalized patients with lower respiratory tract infections: clinical assessment of metagenomic next-generation sequencing and identification of risk factors in patients

IntroductionLower respiratory tract infections(LRTIs) in adults are complicated by diverse pathogens that challenge traditional detection methods, which are often slow and insensitive. Metagenomic next-generation sequencing (mNGS) offers a comprehensive, high-throughput, and unbiased approach to pathogen identification. This retrospective study evaluates the diagnostic efficacy of mNGS compared to conventional microbiological testing (CMT) in LRTIs, aiming to enhance detection accuracy and enable early clinical prediction.MethodsIn our retrospective single-center analysis, 451 patients with suspected LRTIs underwent mNGS testing from July 2020 to July 2023. We assessed the pathogen spectrum and compared the diagnostic efficacy of mNGS to CMT, with clinical comprehensive diagnosis serving as the reference standard. The study analyzed mNGS performance in lung tissue biopsies and bronchoalveolar lavage fluid (BALF) from cases suspected of lung infection. Patients were stratified into two groups based on clinical outcomes (improvement or mortality), and we compared clinical data and conventional laboratory indices between groups. A predictive model and nomogram for the prognosis of LRTIs were constructed using univariate followed by multivariate logistic regression, with model predictive accuracy evaluated by the area under the ROC curve (AUC).Results(1) Comparative Analysis of mNGS versus CMT: In a comprehensive analysis of 510 specimens, where 59 cases were concurrently collected from lung tissue biopsies and BALF, the study highlights the diagnostic superiority of mNGS over CMT. Specifically, mNGS demonstrated significantly higher sensitivity and specificity in BALF samples (82.86% vs. 44.42% and 52.00% vs. 21.05%, respectively, p < 0.001) alongside greater positive and negative predictive values (96.71% vs. 79.55% and 15.12% vs. 5.19%, respectively, p < 0.01). Additionally, when comparing simultaneous testing of lung tissue biopsies and BALF, mNGS showed enhanced sensitivity in BALF (84.21% vs. 57.41%), whereas lung tissues offered higher specificity (80.00% vs. 50.00%). (2) Analysis of Infectious Species in Patients from This Study: The study also notes a concerning incidence of lung abscesses and identifies Epstein-Barr virus (EBV), Fusobacterium nucleatum, Mycoplasma pneumoniae, Chlamydia psittaci, and Haemophilus influenzae as the most common pathogens, with Klebsiella pneumoniae emerging as the predominant bacterial culprit. Among herpes viruses, EBV and herpes virus 7 (HHV-7) were most frequently detected, with HHV-7 more prevalent in immunocompromised individuals. (3) Risk Factors for Adverse Prognosis and a Mortality Risk Prediction Model in Patients with LRTIs: We identified key risk factors for poor prognosis in lower respiratory tract infection patients, with significant findings including delayed time to mNGS testing, low lymphocyte percentage, presence of chronic lung disease, multiple comorbidities, false-negative CMT results, and positive herpesvirus affecting patient outcomes. We also developed a nomogram model with good consistency and high accuracy (AUC of 0.825) for predicting mortality risk in these patients, offering a valuable clinical tool for assessing prognosis.ConclusionThe study underscores mNGS as a superior tool for lower respiratory tract infection diagnosis, exhibiting higher sensitivity and specificity than traditional methods.

Reactivation of cytomegalovirus and bloodstream infection and its impact on early survival after allogeneic haematopoietic stem cell transplantation: a multicentre retrospective study.

Cytomegalovirus reactivation (CMVr) and bloodstream infections (BSI) are the most common infectious complications in patients after allogeneic haematopoietic stem cell transplantation (allo-HSCT). Both are associated with great high morbidity whilst the BSI is the leading cause of mortality. This retrospective study evaluated the incidence of CMVr and BSI, identified associated risk factors, assessed their impact on survival in allo-HSCT recipients during the first 100 days after transplantation. The study comprised 500 allo-HSCT recipients who were CMV DNA-negative and CMV IgG-positive before allo-HSCT. Amongst them, 400 developed CMVr and 75 experienced BSI within 100 days after allo-HSCT. Multivariate regression revealed that graft failure and acute graft-versus-host disease were significant risk factors for poor prognosis, whereas CMVr or BSI alone were not. Amongst all 500 patients, 56 (14%) developed both CMVr and BSI in the 100 days after HSCT, showing significantly reduced 6-month overall survival (p = 0.003) and long-term survival (p = 0.002). Specifically, in the initial post-transplant phase (within 60 days), BSI significantly elevate mortality risk, However, patients who survive BSI during this critical period subsequently experience a lower mortality risk. Nevertheless, the presence of CMVr in patients with BSI considerably diminishes their long-term survival prospects. This study provides real-world data on the impact of CMVr and BSI following transplantation on survival, particularly in regions such as China, where the prevalence of CMV IgG-positivity is high. The findings underscore the necessity for devising and executing focused prevention and early management strategies for CMVr and BSI to enhance outcomes for allo-HSCT recipients.

Meta-analysis of the correlation between high expression of lncRNA NEAT1 in rectal cancer and pathological features and prognosis.

To systematically evaluate the relationship between the expression level of long noncoding RNA NEAT1 and the clinical characteristics and prognostic value of rectal cancer patients. PubMed, EMBASE, Cochrane library database and case-control studies on the correlation between abnormal expression of lncRNA NEAT1 and prognosis of rectal cancer patients published by the American clinical trials registry before May 1, 2023 were searched. The search time was from the establishment of the database to May 30, 2023. A total of 7 case-control studies were included, including 1063 cancer patients. The results of meta-analysis showed that the high expression of lncRNA NEAT1 was significantly correlated with the degree of differentiation [or=0.45, 95%CI=0.32-0.63, P<0.01], tumor size [or=0.59, 95%CI=0.42-0.82, P<0.01], and overall survival [HR=1.34, 95%CI=1.21-1.48, P<0.001]; However, it was not associated with gender [or=1.23, 95%CI= 0.88-1.72, P=0.23] and lymph node metastasis [or=0.87, 95%CI=0.45-1.66, P=0.67]. The high expression of lncRNA NEAT1 may be a risk factor for poor prognosis in patients with malignant tumors, and lncRNA NEAT1 can be used as a potential biomarker to evaluate its prognosis.

Pathogenic spectrum and drug resistance of bloodstream infection in patients with acute myeloid leukaemia: a single centre retrospective study.

Bloodstream infection (BSI) represent a prevalent complication in haematological malignancies (HMs). Typically, Patients with BSI usually undergo empirical treatment pending pathogen identification. The timely and effective management of BSIs significantly influences patient prognosis. However, pathogen distribution in BSIs exhibits regional variation. In this study, we investigated the clinical characteristics, pathogen spectrum, drug resistance, risk factors of short-term prognosis and long-term prognostic factors of acute myeloid leukemia (AML) patients with BSI at Zhejiang Provincal People's Hospital. From 2019 to 2021, a total of 56 AML patients with BSI were treated in the Department of Haematology at Zhejiang Province People's Hospital. Data regarding pathogen spectrum and drug resistance were collected for analysis. The patients were stratified into non-survivor cohort and survivor cohort within 30 days after BSI, and the predictors of 30-days mortality were identified through both univariate and multivariate Logistic regression analyses. Furthermore, Kaplan-Meier survival analysis and Cox regression analysis were employed to ascertain the risk factors associated with poor prognosis in AML patients complicated by BSI. A total of 70 strains of pathogenic bacteria were isolated from 56 AML patients with BSI. Gram-negative bacteria constituted the predominant pathogens (71.4%), with Klebsiella pneumoniae being the most prevalent (22.9%). Gram-positive bacteria and fungi accounted for 22.9% and 5.7%, respectively. Univariate and multivariate analyses revealed significant differences in total protein, albumin levels, and the presence of septic shock between the non-survivor cohort and the survior cohort 30 days post-BSI. COX regression analysis showed that agranulocytosis duration exceeding 20 days (HR:3.854; 95% CI: 1.451-10.242) and septic shock (HR:3.788; 95% CI: 1.729-8.299) were independent risk factors for poor prognosis in AML patients complicated by BSI. Notably, the mortality rate within 30 days after Stenotrophomonas maltophilia infection was up to 71.4%. In this study, Gram-negative bacteria, predominantly Klebsiella pneumoniae, constituted the primary pathogens among AML patients with BSIs. Serum albumin levels and the presence of septic shock emerged as independent risk factors for mortality within 30 days among AML patients with BSI. In terms of long-term prognosis, extended agranulocytosis duration exceeding 20 days and septic shock were associated with elevated mortality rates in AML patients with BSI. Additionally, in our centre, Stenotrophomonas maltophilia infection was found to be associated with a poor prognosis. Early intervention for Stenotrophomonas maltophilia infection in our centre could potentially improve patient outcomes.

Clinical characteristics, survival analysis and influencing factors of distant metastasis in patients with acromelanomas: A retrospective study.

The prognosis of acromelanomas (AM) is worse. The objective of this study was to investigate the clinical features of distant metastasis of AM and the factors affecting the survival and prognosis of patients. In this study, a retrospective study was conducted to select 154 AM patients admitted to Nanjing Pukou People's Hospital from January 2018 to April 2021 for clinical research. The clinical characteristics of distant metastasis were statistically analyzed, and the survival curve was drawn with 5-year follow-up outcomes. The median survival time of the patients was calculated, and the clinicopathological features and peripheral blood laboratory indexes of the surviving and dead patients were analyzed. Logistic regression model was used to analyze the risk factors affecting the prognosis of AM patients. In this study, 154 patients with AM were treated, including 88 males and 76 females, aged from 27 to 79 years old, with an average age of (59.3 ± 11.7) years old. Among them, 90 cases had distant metastasis. The main metastatic sites were lung (47.78%) and lymph nodes (42.22%). Among them, single site metastasis accounted for 41.11% and multiple site metastasis 58.89%. 89 cases survived and 65 cases died. The survival time was 22 months to 60 months, and the median survival time was 48.0 months. The Breslow thickness, stage at diagnosis, distant metastasis, site of metastasis and ulceration were compared between the survival group and the death group (P < .05). serum lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR) and lymphocyte monocyte ratio (LMR) were compared between the survival group and the death group (P < .05). The results of Logistic regression model showed that LDH ≥ 281 U/L, NLR ≥ 2.96, LMR ≤ 3.57, newly diagnosed stage > stage II, distant metastasis, multiple site metastasis and tumor ulcer were independent risk factors for poor prognosis of AM patients (P < .05). Patients with AM had a higher proportion of distant metastasis, mainly lung and lymph node metastasis. Increased LDH, increased NLR, decreased LMR, higher initial stage, distant metastasis, multiple site metastasis, and combined tumor ulcer were closely related to the poor prognosis of patients after surgery.

Nomograms incorporating hsa_circ_0029325 highly expressed in exosomes of hepatocellular carcinoma predict the postoperative outcomes

BackgroundLiquid biopsies, for example, exosomal circular RNA (circRNA) can be used to assess potential predictive markers for hepatocellular carcinoma (HCC) in patients after curative resection. This study aimed to search for effective prognostic biomarkers for HCC in patients after surgical resection based on exosomal circRNA expression profiles. We developed two nomograms incorporating circRNAs to predict the postoperative recurrence-free survival (RFS) and overall survival (OS) of HCC patients.MethodPlasma exosomes isolated from HCC patients and healthy individuals were used for circRNA microarray analysis to explore differentially expressed circRNAs. Pearson correlation analysis was used to evaluate the correlation between circRNAs and clinicopathological features. Cox regression analysis was used to explore the correlation between circRNA and postoperative survival time as well as recurrence time. A nomogram based on circRNA and clinicopathological characteristics was established and further evaluated to predict prognosis and recurrence.ResultAmong 60 significantly upregulated circRNAs and 25 downregulated circRNAs, hsa_circ_0029325 was selected to verify its power for predicting HCC outcomes. The high expression level of exosomal hsa_circ_0029325 was significantly correlated with OS (P = 0.001, HR = 2.04, 95% CI 1.41–3.32) and RFS (P = 0.009, HR = 1.62, 95% CI 1.14–2.30). Among 273 HCC patients, multivariate regression analysis showed that hsa_circ_0029325 (HR = 1.96, 95% CI 1.21–3.18), tumor size (HR = 2.11, 95% CI 1.33–3.32), clinical staging (HR = 2.31, 95% CI 1.54–3.48), and tumor thrombus (HR = 1.74, 95% CI 1.12–2.7) were independent risk factors for poor prognosis in HCC patients after radical resection. These independent predictors of prognosis were incorporated into the two nomograms. The AUCs under the 1-year, 3-year, and 5-year survival and recurrence curves of the OS and RFS nomograms were 0.755, 0.749, and 0.742 and 0.702, 0.685, and 0.642, respectively. The C-index, calibration curves, and clinical decision curves showed that the two prediction models had good predictive performance. These results were verified in the validation cohort with 90 HCC patients.ConclusionOur study established two reliable nomograms for predicting recurrence and prognosis in HCC patients. We also show that it is feasible to screen potential predictive markers for HCC after curative resection through exosomal circRNA expression profile analysis.