Low-risk Patients Research Articles

Systematic review: risk prediction models for metachronous advanced colorectal neoplasia after polypectomy.

Colorectal cancer (CRC) is the fourth leading cause of cancer death globally. CRC surveillance is a common indication for colonoscopy, representing a considerable burden for endoscopy services. Accurate identification of high-risk patients who would benefit from more intensive surveillance, as well as low-risk patients suitable for less frequent follow-up, could improve the effectiveness of surveillance protocols and resource use. Our aim was to identify and critically appraise published risk models for the occurrence of metachronous advanced colorectal neoplasia (ACN), defined here as CRC or advanced adenomas detected during surveillance colonoscopy. We searched PubMed and EMBASE for primary research studies reporting the development and/or validation of multivariable models that predict metachronous ACN risk. Screening of studies for inclusion, data extraction, and risk of bias assessment were conducted by two researchers independently. We identified nine studies describing nine risk models. Six models were internally validated and two were externally validated. No model underwent both internal and external validation. Good model discrimination (concordance index>0.7) was reported for two models during internal validation and for one model during external validation. Calibration was acceptable when assessed (n=4). Methodological limitations and a high risk of bias were observed for all studies. Several published models predicting metachronous ACN risk showed some promise. However, adherence to methodological standards was limited, and only two models were externally validated. Head-to-head comparisons of existing models using populations independent from model development cohorts should be prioritized to identify models suitable for use in clinical practice.

Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?

Atrial fibrillation (AF) prediction and screening are of important clinical interest because of the potential to prevent serious adverse events. Devices capable of detecting short episodes of arrhythmia are now widely available. Although it has recently been suggested that some high-risk patients with AF detected on implantable devices may benefit from anticoagulation, long-term management remains challenging in lower-risk patients and in those with AF detected on monitors or wearable devices as the development of clinically meaningful arrhythmia burden in this group remains unknown. Identification and prediction of clinically relevant AF is therefore of unprecedented importance to the cardiologic community. Family history and underlying genetic markers are important risk factors for AF. Recent studies suggest a good predictive ability of polygenic risk scores, with a possible additive value to clinical AF prediction scores. Artificial intelligence, enabled by the exponentially increasing computing power and digital data sets, has gained traction in the past decade and is of increasing interest in AF prediction using a single or multiple lead sinus rhythm electrocardiogram. Integrating these novel approaches could help predict AF substrate severity, thereby potentially improving the effectiveness of AF screening and personalizing the management of patients presenting with conditions such as embolic stroke of undetermined source or subclinical AF. This review presents current evidence surrounding deep learning and polygenic risk scores in the prediction of incident AF and provides a futuristic outlook on possible ways of implementing these modalities into clinical practice, while considering current limitations and required areas of improvement.

Machine learning-based integration develops a mitophagy-related lncRNA signature for predicting the progression of prostate cancer: a bioinformatic analysis

Prostate cancer remains a complex and challenging disease, necessitating innovative approaches for prognosis and therapeutic guidance. This study integrates machine learning techniques to develop a novel mitophagy-related long non-coding RNA (lncRNA) signature for predicting the progression of prostate cancer. Leveraging the TCGA-PRAD dataset, we identify a set of four key lncRNAs and formulate a riskscore, revealing its potential as a prognostic indicator. Subsequent analyses unravel the intricate connections between riskscore, immune cell infiltration, mutational landscapes, and treatment outcomes. Notably, the pan-cancer exploration of YEATS2-AS1 highlights its pervasive impact, demonstrating elevated expression across various malignancies. Furthermore, drug sensitivity predictions based on riskscore guide personalized chemotherapy strategies, with drugs like Carmustine and Entinostat showing distinct suitability for high and low-risk group patients. Regression analysis exposes significant correlations between the mitophagy-related lncRNAs, riskscore, and key mitophagy-related genes. Molecular docking analyses reveal promising interactions between Cyclophosphamide and proteins encoded by these genes, suggesting potential therapeutic avenues. This comprehensive study not only introduces a robust prognostic tool but also provides valuable insights into the molecular intricacies and potential therapeutic interventions in prostate cancer, paving the way for more personalized and effective clinical approaches.

Myeloid cell differentiation-related gene signature for predicting clinical outcome, immune microenvironment, and treatment response in lung adenocarcinoma

Considering the key role of myeloid cell differentiation—related genes in the tumor microenvironment (TME), we aimed to build a prognostic risk model using these genes for Lung adenocarcinoma (LUAD). The mRNA gene expression profiles of LUAD patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were downloaded as the training and validation sets. Then, “edgeR” R package was applied to screen out the differentially expressed genes (DEGs) and univariate cox regression, backward stepwise selection analyses were performed to construct a prognostic model for LUAD. ESTIMATE, TIMER, XCELL, CIBERSORT abs, QUANTISEQ, MCPCOUNTER, EPIC, and CIBERSORT algorithms were conducted to access the association of risk levels with the stromal and immune cell infiltration levels in LUAD. Six genes (F2RL1, PRKDC, TNFSF11, INHA, PLA2G3 and TUBB1) were utilized to construct the prognostic model. The risk model showed excellent prognostic performance for LUAD in both TCGA and GEO datasets. Also, compared to the low-risk patients, the high-risk patients had higher expression of immune checkpoint molecules and showed a lower IC50 value to the chemotherapy agents. Our findings provided a myeloid cell differentiation—related gene signature that could effectively predict prognosis and guide treatment strategies for LUAD patients.

Could different cut-off values be used for 50-gram glucose tolerance test in low and high risk groups?

Objectives: There are controversies about screening strategy and cut-off levels for gestational diabetes mellitus (GDM). Here, we aimed to identify optimal cut-off values for 50-gram oral glucose tolerance testing (OGTT) in high and low risk pregnant women. Methods: A total of 500 patients who underwent two step OGTT were divided into two groups as GDM (n=31) and controls (n=469). Moreover, patients were grouped as high (n=114) and low risk (n=386) for GDM. Having≥2 risk factors such as family history of type-2 diabetes, obesity, glucosuria, previous history of GDM, macrosomia and diabetic complications were accepted as high risk. Demographic data, OGTT results, birth characteristics were recorded and compared between groups. A cut-off value for 50-gram OGTT was evaluated in low and high risk groups. Results: The 50-gram OGTT value above 140 mg/dL discriminated GDM with 100% sensitivity and 92.11% specificity in all patients (AUC=0.969, P<0.001). The prevalence of GDM was 19.3% in high and 2.3% in low risk group. The 50-gram OGTT value above 140 mg/dL discriminated GDM with 100% sensitivity and 94.57% specificity in high risk patients (AUC=0.992, P<0.001). Furthermore, 50-gram OGTT value above 149 mg/dL discriminated GDM with 100% sensitivity and 93.63% specificity in low risk patients (AUC=0.976, P<0.001). Conclusions: Although screening in low risk population is a debating issue worldwide, our local guidelines still recommend screening all pregnant women. We suggest that performing 100-gram OGTT only in patients who have higher values than 149 mg/dL in 50-gram OGTT can be an alternative screening strategy in low risk group.

Identifying and validating angiogenesis-related genes remodeling tumor microenvironment and suppressing immunotherapy response in gastric cancer

Angiogenesis significantly correlates with tumor microenvironment remodeling and immunotherapy response. Our study aimed to construct a prognostic angiogenesis-related model for gastric cancer. Using public database, a angiogenetic related five-gene (FGF1, GRB14, PAK3, PDGFRA, and PRKD1) model was identified. The top 25 % of patients were defined as high-risk, and the remaining as low-risk. The area under the curve for 1-, 3-, and 5-year overall survival (OS) were 0.646, 0.711, and 0.793, respectively. Survival analysis showed a better 10-year OS in low-risk patients in the construction (HR = 0.57, p = 0.002) and validation cohorts. GO and GSEA revealed that DEGs were enriched in extracellular matrix receptor interactions, dendritic cell antigen processing/presentation regulation, and angiogenesis pathways. CIBERSORT analysis revealed abundant naïve B cells, resting mast cells, resting CD4+ memory T cells, M2 macrophages, and monocytes in high-risk subgroups. The TIMER database showed strong positive correlations between PAK3, FGF1, PRKD1, and PDGFRA expression levels and the infiltration of CD4+ T cells and macrophages. The IOBR analysis revealed an immunosuppressive environment in the high-risk subgroup. Low-risk patients show a higher response rate to anti-PD1 treatment. TMA showed that FGF1 overexpression was associated with poor prognosis and CD4+ T cells and macrophage infiltration. In vivo study based on the 615 mice indicated that inhibiting FGF1 function could suppress tumor growth and enhance anti-PD1 therapeutic efficacy. In summary, we established a five-angiogenesis-related gene model to predict survival outcomes and immunotherapy responses in patients with gastric cancer and identified FGF1 as a prognostic gene and potential target for improving immune treatment.

The Polish Society of Gynecological Oncology Guidelines for the Diagnosis and Treatment of Cervical Cancer (v2024.0).

Background: Recent publications underscore the need for updated recommendations addressing less radical surgery for <2 cm tumors, induction chemotherapy, or immunotherapy for locally advanced stages of cervical cancer, as well as for the systemic therapy for recurrent or metastatic cervical cancer. Aim: To summarize the current evidence for the diagnosis, treatment, and follow-up of cervical cancer and provide evidence-based clinical practice recommendations. Methods: Developed according to AGREE II standards, the guidelines classify scientific evidence based on the Agency for Health Technology Assessment and Tariff System criteria. Recommendations are graded by evidence strength and consensus level from the development group. Key Results: (1) Early-Stage Cancer: Stromal invasion and lymphovascular space involvement (LVSI) from pretreatment biopsy identify candidates for surgery, particularly for simple hysterectomy. (2) Surgical Approach: Minimally invasive surgery is not recommended, except for T1A, LVSI-negative tumors, due to a reduction in life expectancy. (3) Locally Advanced Cancer: concurrent chemoradiation (CCRT) followed by brachytherapy (BRT) is the cornerstone treatment. Low-risk patients (fewer than two metastatic nodes or FIGO IB2-II) may consider induction chemotherapy (ICT) followed by CCRT and BRT after 7 days. High-risk patients (two or more metastatic nodes or FIGO IIIA, IIIB, and IVA) benefit from pembrolizumab with CCRT and maintenance therapy. (4) Metastatic, Persistent, and Recurrent Cancer: A PD-L1 status from pretreatment biopsy identifies candidates for Pembrolizumab with available systemic treatment, while triplet therapy (Atezolizumab/Bevacizumab/chemotherapy) becomes a PD-L1-independent option. Conclusions: These evidence-based guidelines aim to improve clinical outcomes through precise treatment strategies based on individual risk factors, predictors, and disease stages.

Prospective evaluation of surgical margins in non-muscle invasive bladder cancer following primary transurethral resection

PurposeNon-muscle invasive bladder cancers (NMIBC) constitute approximately 75% of bladder cancer cases. Primary transurethral resection (TUR) plays a pivotal role in both diagnosis and treatment. However, despite initial resection, tumors are often missed, leaving behind microscopic residual tumors. This study aims to prospectively investigate the surgical margins of tumors, which may serve as a potential source of residual tumors. Materials and methodsSeventy patients diagnosed with NMIBC who underwent primary TUR were enrolled in this study. Following initial resection, samples were collected from the normal-appearing mucosa extending 1cm beyond the surgical margins. Lesions were categorized as ‘healthy margins’ for benign lesions, ‘tumoral margins’ for urothelial cancer, and ‘dysplastic margins’ for urothelial dysplasia. Clinical and pathological features of these groups were compared, and risk factors for detecting transitional cell carcinoma (TCC) in the normal-looking mucosa were analyzed. ResultsThe tumoral margins group showed a significantly higher rate of T1 stage tumors compared to the healthy margins group, and a significantly higher rate of high-grade (HG) tumors compared to the dysplastic margins group. Moreover, the tumoral margins group had a significantly higher proportion of high-risk patients (85.7%) compared to the other groups, while the healthy margins group had a significantly higher proportion of low-risk patients (35.3%) compared to the tumoral margins group (0.0%). Additionally, the tumoral margins group demonstrated a significantly higher rate of carcinoma in situ (CIS) compared to the healthy margins group (35.7% vs. 5.9%). Detection of urothelial cancer at the margins was associated with T1 stage, HG stage, and the presence of CIS based on univariate analyses. ConclusionTo minimize residual tumors and prevent recurrence in patients undergoing primary TUR, we advocate for the resection of macroscopically visible tumors with nearly 2cm of intact bladder tissue, thereby enhancing the quality of TUR. Level of evidenceThis study provides Level II evidence, based on its design as a prospective observational study. The findings are derived from well-designed cohort analyses, providing significant associations and insights into the factors affecting surgical margins in NMIBC patients.

Risk Without Reward: Differing Patterns of Chemotherapy Use Do Not Improve Outcomes in Stage II Early-Onset Colon Cancer.

Rising rates of early-onset colon cancer (EOCC) present challenges in deciding how to optimally treat patients. Although standard of care for stage II CC is surgical resection, adding chemotherapy for high-risk disease, evidence suggests treatment selection may differ by age. We investigated whether adjuvant chemotherapy (AC) administration rates differ between patients with early- and later-onset stage II CC. Data originated from the nationwide Flatiron Health electronic health record (EHR)-derived deidentified database spanning January 1, 2003, to August 1, 2021. Adults with stage II CC were grouped as age 18-49 years (EOCC) and those age 50 years or older (later-onset colon cancer [LOCC]). Demographics, Eastern Cooperative Oncology Group score, tumor stage and site, and chemotherapy were included. Primary outcomes included rates of AC administration by age and ethnicity; secondary outcomes included overall survival (OS) and time to metastatic disease (TTMD). Univariate and multivariable logistic regression models evaluated relationships between chemotherapy administration, age, and ethnicity, adjusting for significant covariates. One thousand sixty-five patients were included. Median age of patients with EOCC was 45.0 years versus 69.0 years for patients with LOCC. Adjusted multivariate analysis showed patients with EOCC received AC significantly more often than patients with LOCC. Non-Hispanic patients received AC at significantly lower rates than Hispanic patients in both cohorts. Subanalysis of stage IIA patients showed that patients with EOCC were more likely to receive AC than patients with LOCC. No significant differences in OS or TTMD were observed by age regardless of AC administration in stage II overall; however, patients with stage IIA EOCC receiving AC had significantly longer TTMD than those not receiving AC. AC was given preferentially in stage II EOCC, even in stage IIA, despite deviation from guidelines. This may expose low-risk patients to unnecessary toxicities and suggests bias toward treating younger patients more aggressively, despite unclear evidence for better outcomes.

Are Neonatal Birth Weights Reduced in Low-Risk Patients Diagnosed with COVID-19 during Pregnancy?

Studies have shown that the 2019 novel coronavirus disease (COVID-19) may be associated with an increased risk of adverse pregnancy outcomes including preeclampsia, preterm birth, and stillbirth. However, the relationship between COVID-19 and abnormal fetal growth (i.e., low neonatal birth weight) has not been elucidated. Because other viruses affect fetal growth, obstetrical providers began to recommend ultrasound studies during the third trimester to assess fetal growth in patients with COVID-19 during pregnancy. The aim of this study was to determine if neonatal birth weight was different between low-risk patients diagnosed with COVID-19 during pregnancy and low-risk patients without COVID-19 in pregnancy, to ascertain if third trimester growth ultrasound is warranted in this patient population. We performed a retrospective cohort study of low-risk pregnant patients (who had no other indications for sonographic fetal surveillance during the third trimester) with and without COVID-19 during pregnancy. Patient demographics, gestational dating, neonatal birth weights, and corresponding Alexander growth curve birth weight percentiles were collected. The primary outcome was small-for-gestational age (SGA) neonates, defined as birth weight < 10th percentile for gestational age at delivery (SGA10). Our cohort (N = 513) included 248 COVID-19-exposed patients and 265 patients who did not have COVID-19 during pregnancy. Gestational age at delivery and average neonatal birth weights were similar in COVID-19-exposed (38 weeks 5 days, 3,266 g) and unexposed patients (38 weeks 4 days, 3,224 g; p = 0.434, 0.358). Rates of SGA10 neonates were similar in the COVID-19-exposed (22/248, 8.9%) and -unexposed (23/265, 8.7%, p = 0.939) groups. Timing and severity of COVID-19 during pregnancy also were not associated with rates of SGA neonates. In a cohort of low-risk patients, rates of SGA neonates were similar in patients with and without COVID-19 during pregnancy. These findings suggest that ultrasound surveillance to detect fetal growth restriction in low-risk patients with COVID-19 during pregnancy is not warranted. · COVID-19 may be associated with fetal growth restriction.. · There are normal infant weights in patients with COVID-19 in pregnancy.. · Growth ultrasound is not needed in patients with COVID-19..

Unlocking the Potential of the HEART Pathway: Predicting MACE and Facilitating Nurse-Physician Collaboration in Chest Pain Unit.

The HEART pathway serves as a tool for predicting major adverse cardiac events (MACE) among patients presenting with acute chest pain, aiding in early discharge of low-risk patients and reducing unnecessary cardiac investigations. This study aimed to evaluate physician-nurse reliability of the HEART pathway. Moreover investigates the efficacy of HEART pathway to predict 3-month MACE in patients with acute chest pain. We conducted a prospective study on 97 patients experiencing acute chest pain. A team of three professionals - a nurse, a cardiology resident, and a cardiology attending physician - performed risk stratification. We assessed inter-rater reliability among the raters as well as explored 3-month MACE outcomes. Excellent pairwise agreements were found between the raters. Overall agreement among raters was excellent, with an ICC of 0.84 (95% CI: 0.73 - 0.97). The HEART pathway score exhibited strong predictive power (AUC: 0.85) for 3-month MACE. At a cut-off score of 4, sensitivity, specificity, and negative predictive values were 87.5%, 58.9%, and 95.8%, respectively. The HEART pathway score effectively predicts 3-month MACE in patients with acute non-traumatic chest pain. Moreover, the high agreement among the attending physician, the resident physician, and the nurse suggests that nurses could use this tool, potentially reducing the workload on physicians.

Clinical and Paraclinical Features, Outcome, and Prognosis of ExtranodalNatural Killer/T-CellLymphoma,NasalType: A Retrospective Study of 31 Vietnamese Patients.

Background: Extranodal natural killer (NK)/T-cell lymphoma, nasal type is a rare, aggressive, and poor prognostic subtype. The concurrent chemoradiotherapy followed by chemotherapy showed a relatively high response rate and the toxicity due to the treatment is acceptable. The study attempted to report the clinicopathological features, the survival outcome, and response rates of stages I-II, nasal type ENKTL patients treated with CCRT followed by adjuvant VIPD chemotherapy in Vietnam. Materials and Methods: The current study was conducted on 31 stage I or II NK/T cell lymphoma, nasal-type patients received by CCRT, followed by adjuvant VIPD chemotherapy. Information on patient demographics, disease stage, clinical symptoms, tumor, and paraclinical characteristics were collected. The primary endpoints of this study were OS and response rates. Results: After CCRT, 26 out of 31 (83.9%) patients had stable disease or response. Overall response rate (ORR) was observed in 80.6% of patients with a complete response rate of 67.7%. Low-risk PINK patients had a higher response rate than the intermediate- risk group (p=0.038). Mean disease-free survival was 44.3±4.5 months (95% CI, 35.4-53.1 months). Mean overall survival was 46.8±4.5 months (95% CI, 37.99-55.8 months). The intermediate-risk PINK patients had a significantly lower OS rate than low-risk patients. Conclusion: Concurrent chemoradiotherapy followed by adjuvant VIPD chemotherapy showed a high response rate and survival benefit in stages I-II, nasal type, and extranodal natural killer (NK)/T-cell lymphoma Vietnamese patients.

Integrated analysis of methylation and transcriptome identifies a novel risk model for diagnosis, prognosis, and immune characteristics in head and neck squamous cell carcinoma.

DNA methylation is an important epigenetic modification that plays a crucial role in the development and progression of various tumors. However, the association between methylation‑driven genes and diagnosis, prognosis, and immune characteristics of head and neck squamous cell carcinoma (HNSCC) remains unclear. We obtained transcriptome, methylation, and clinical data from HNSCC patients in TCGA database, and used MethylMix algorithm to identify methylation-driven genes. A methylation driven gene-related risk model was constructed using Lasso regression analysis, and validated using data from GEO database. Immune infiltration and immune function analysis of the expression profiles were conducted using ssGSEA. Differences in immune checkpoint-related genes were analyzed, and the efficacy of immunotherapy was evaluated using TCIA database. Finally, a series of cell functional experiments were conducted to validate the results. Five methylation-driven genes were identified and utilized to construct a prognostic risk model. Based on the median risk score, all patients were categorized into high-risk and low-risk groups. The K-M analysis revealed that patients in the high-risk group have a worse prognosis. Additionally, the risk model demonstrated better prognostic predictive value as indicated by ROC analysis. GSEA enrichment analysis indicated that gene sets in the high and low-risk groups were primarily enriched in pathways associated with tumor immunity and metabolism. Our subsequent investigations showed that high-risk patients exhibited more immunosuppressive phenotypes, while low-risk patients were more likely to respond positively to immunotherapy. These findings of our research have the potential to improve patient stratification, guide treatment decisions, and advance the development of personalized therapies for HNSCC.

Role of combined surgical and radiotherapy treatment in nonmetastatic WHO I nasopharyngeal carcinoma patients

Background Keratinizing squamous cell carcinoma (KSCC) is recognized as WHO I nasopharyngeal carcinoma (NPC). Current guidelines for treating nasopharyngeal cancer do not delineate specific strategies for individual pathologic subtypes. Objectives To explore the optimal treatment for KSCC of the nasopharynx. Material and methods Data on patients were extracted from the SEER database. Survival differences between patients treated with radiotherapy alone and combined surgery were assessed using Kaplan-Meier and Cox regression models and compared using propensity score matching (PSM). In addition, we explored the survival differences between the two groups of patients in different risk stratifications. Results In our study, 165 patients underwent surgical intervention, while 1238 patients did not. In both univariate (CSS: p = .001, HR = 0.612; OS: p < .001, HR = 0.623) and multivariate (CSS: p = .004, HR = 0.655; OS: p < .001, HR = 0.655) analyses, combined surgery was identified as a significant prognostic factor. These findings were consistent after PSM. Using RPA, patients were categorized into two groups. CSS improved in the high-risk group, whereas the difference in low-risk patients was not significant. Conclusions and significance For patients diagnosed with WHO I nasopharyngeal carcinoma, the combination of radiotherapy and surgery has significant clinical advantages, especially for patients at high risk.

The association of nutritional and inflammatory biomarkers with overall survival in patients with non-small-cell lung cancer treated with immune checkpoint inhibitors.

Pretreatment biomarkers are needed to identify patients with non-small-cell lung cancer (NSCLC) likely to have worse survival. This ensures that only patients with a real chance of benefit receive immune checkpoint inhibitor (ICI) treatment. In this study, we examined the associations of baseline nutritional and inflammatory biomarkers with overall survival in a real-world cohort of NSCLC patients who received ICIs. We used prospectively collected data from the OncoLifeS data biobank. The cohort included 500 advanced-stage NSCLC patients treated with ICIs from May 2015 to June 2021. Biomarkers were evaluated within 2 weeks before ICI treatment: neutrophil-to-lymphocyte ratio, C-reactive protein (CRP), Glasgow prognostic score, CRP/albumin ratio (CAR), prognostic nutritional index (PNI), and advanced lung cancer inflammation index. For each biomarker, low- and high-risk groups were defined using literature-based cut-offs. Adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were estimated using adjusted survival analysis. Most patients were male (60.8%), the mean baseline age was 65 ± 9 years, and 88% had stage IV disease. For each biomarker, low-risk patients had better overall survival (all, p < 0.001), with CAR and PNI showing the strongest associations. In multivariable analyses a combined CAR/PNI risk score had a stronger association with overall survival (aHR 3.09, 95% CI 2.36-4.06) than CAR alone (aHR 2.22, 95% CI 1.79-2.76) or PNI alone (aHR 2.09, 95% CI 1.66-2.61). These results highlight the potential value of nutritional and inflammatory biomarkers, in particular CAR and PNI, in identifying NSCLC patients with highest mortality risk before starting ICI treatment.

Risk stratification framework to improve the utility of renal ultrasound in acute kidney injury.

Acute kidney injury (AKI) is common among hospitalised patients and can lead to significant morbidity or mortality if not properly managed. Renal ultrasound (RUS) is often requested in the initial workup of AKI to rule out obstructive uropathy despite pre-renal aetiologies being implicated in most cases, especially in patients without risk factors for obstruction. Determine the utility of RUS in detecting bilateral hydronephrosis in the context of AKI, and identify risk factors that can be used to stratify patients to better guide patient management. Adults who underwent RUS for AKI between January 2019 and December 2021 were reviewed. Renal ultrasound studies that identified bilateral hydronephrosis and the patient characteristics associated with these studies were recorded. Seven hundred and fifty-eight RUS reports were included. Bilateral hydronephrosis was diagnosed in 43 patients (5.7%). Of these 43 patients, 39 (90.7%) had at least one risk factor for urinary tract obstruction. Bilateral hydronephrosis was only diagnosed in 4 (9.3%) patients without any risk factor for obstruction. The risk factors with the highest odds for being diagnosed with bilateral hydronephrosis included a history of previous ureteric stenting or nephrostomy tube insertion (OR 10.37), previous bilateral hydronephrosis (OR 14.56), or multiple risk factors (OR 23.06). Renal ultrasound has limited utility in the evaluation of AKI in low-risk patients. These risk factors can be used to assign patients to high- or low-risk categories to better guide management and reduce the number of unnecessary studies performed while still identifying clinically significant disease.

Anthracycline therapy induces an early decline of cardiac contractility in low-risk patients with breast cancer

AimsCancer therapy-related cardiac dysfunction (CTRCD) is a dreaded complication of anthracycline therapy. CTRCD most frequently appears in patients with cardiovascular risk factors (CVR) or known cardiovascular disease. However, limited data exist on incidence and course of anthracycline-induced CTRCD in patients without preexisting risk factors.We therefore aimed to longitudinally investigate a cohort of young women on anthracycline treatment due to breast cancer without cardiovascular risk factors or known cardiovascular disease (NCT03940625).Methods and resultsWe enrolled 59 women with primary breast cancer and scheduled anthracycline-based therapy, but without CVR or preexisting cardiovascular disease. We conducted a longitudinal assessment before, immediately and 12 months after cancer therapy with general laboratory, electrocardiograms, echocardiography and cardiovascular magnetic resonance (CMR), including myocardial relaxometry with T1, T2 and extracellular volume mapping.Every single patient experienced a drop in CMR-measured left ventricular ejection fraction (LVEF) of 6 ± 3% immediately after cancer therapy. According to the novel definition 32 patients (54.2%) developed CTRCD after 12 months defined by reduction in LVEF, global longitudinal strain (GLS) and/or biomarkers elevation, two of them were symptomatic. Global myocardial T2 relaxation times as well as myocardial mass increased coincidently with a decline in wall-thickening. While T2 values and myocardial mass normalized after 12 months, LVEF and GLS remained impaired.ConclusionIn every single patient anthracyclines induce a decline of myocardial contractility, even among patients without pre-existing risk factors for CTRCD. Our data suggest to thoroughly evaluate whether this may lead to an increased risk of future cardiovascular events.Graphical Reduced myocardial contractility in low-risk patients receiving anthracycline-based cancer therapy. This study included 59 otherwise healthy women with primary breast cancer undergoing anthracycline-based chemotherapy. CMR was performed at baseline, directly and 12 months after cancer therapy. A decline in left ventricular function was observed in every single patient accompanied by transient edema. More than 50% were diagnosed with cancer therapy related cardiovascular dysfunction. LVEF: left ventricular function, CTRCD: cancer therapy related cardiovascular dysfunction, GLS = Global longitudinal strain, hs-TnT= high sensitive Troponin T, NT-pro BNP = NT-pro brain natriuretic peptide

Comprehensive Analysis of a Six-Gene Signature Predicting Survival and Immune Infiltration of Liposarcoma Patients and Deciphering Its Therapeutic Significance.

As a common soft tissue sarcoma, liposarcoma (LPS) is a heterogeneous malignant tumor derived from adipose tissue. Due to the high risk of metastasis and recurrence, the prognosis of LPS remains unfavorable. To improve clinical treatment, a robust risk prediction model is essential to evaluate the prognosis of LPS patients. By comprehensive analysis of data derived from GEO datasets, differentially expressed genes (DEGs) were obtained. Univariate and Lasso Cox regressions were subsequently employed to reveal distant recurrence-free survival (DRFS)-associated DEGs and develop a prognostic gene signature, which was assessed by Kaplan-Meier survival and ROC curve. GSEA and immune infiltration analyses were conducted to illuminate molecular mechanisms and immune correlations of this model in LPS progression. Furthermore, a correlation analysis was involved to decipher the therapeutic significance of this model for LPS. A six-gene signature was developed to predict DRFS of LPS patients and showed higher precision performance in more aggressive LPS subtypes. Then, a nomogram was further established for clinical application based on this risk model. Via GSEA, the high-risk group was significantly enriched in cell cycle-related pathways. In the LPS microenvironment, neutrophils, memory B cells and resting mast cells exhibited significant differences in cell abundance between high-risk and low-risk patients. Moreover, this model was significantly correlated with therapeutic targets. A prognostic six-gene signature was developed and significantly associated with cell cycle pathways and therapeutic target genes, which could provide new insights into risk assessment of LPS progression and therapeutic strategies for LPS patients to improve their prognosis.

A novel risk classification model integrating CEA, ctDNA, and pTN stage for stage 3 colon cancer: a post hoc analysis of the IDEA-France trial.

We assessed the added value of incorporating carcinoembryonic antigen (CEA) to circulating tumor DNA (ctDNA) and pathological TN (pTN) stage for risk classification in stage 3 colon cancer (CC). We retrospectively analyzed postoperative CEA values in patients with CC from the IDEA-France phase 3 trial. The relation between disease-free survival (DFS) and CEA was modeled through restricted cubic splines. Prognostic value of CEA, ctDNA, and pTN was assessed with the Kaplan-Meier method. Multivariate analysis was used to identify prognostic and predictive factors for DFS. Among 696 patients (35%), CEA values were retrievable, and for 405 (20%) both CEA and ctDNA were available. An optimized CEA threshold of 2 ng/mL was identified, the 3-year DFS was 66.4% for patients above the threshold and 80.9% for those below (HR, 1.74; 95% CI, 1.33-2.28, P < .001). In multivariate analysis, CEA ≥ 2 ng/mL contributed significantly to model variability, becoming an independent prognostic factor for DFS (HR, 1.82; 95% CI,1.27-2.59), alongside ctDNA (HR, 1.88; 95% CI, 1.16-3.03) and pTN (HR, 1.78; 95% CI, 1.24-2.54). A novel integrated risk classification combining CEA, ctDNA, and pTN stage reclassified 19.8% of pT4/N2 patients as low risk and 2.5% of pT3/N1 patients as high risk. This new classification demonstrated the 3-year DFS of 80.8% for low-risk patients and 55.4% for high-risk patients (HR, 2.66, 95% CI, 1.84-3.86, P < .001). Postoperative CEA value is a prognostic factor for DFS in stage 3 CC, independently of ctDNA and pTN. It advocates for systematic reporting in future adjuvant trials. Integrating both biomarkers with pTN could refine risk classification in stage 3 CC.

Post-cardiotomy extracorporeal life support: A cohort of cannulation in the general ward.

Post-cardiotomy extracorporeal life support (ECLS) cannulation might occur in a general post-operative ward due to emergent conditions. Its characteristics have been poorly reported and investigated This study investigates the characteristics and outcomes of adult patients receiving ECLS cannulation in a general post-operative cardiac ward. The Post-cardiotomy Extracorporeal Life Support (PELS) is a retrospective (2000-2020), multicenter (34 centers), observational study including adult patients who required ECLS for post-cardiotomy shock. This PELS sub-analysis analyzed patients´ characteristics, in-hospital outcomes, and long-term survival in patients cannulated for veno-arterial ECLS in the general ward, and further compared in-hospital survivors and non-survivors. The PELS study included 2058 patients of whom 39 (1.9%) were cannulated in the general ward. Most patients underwent isolated coronary bypass grafting (CABG, n = 15, 38.5%) or isolated non-CABG operations (n = 20, 51.3%). The main indications to initiate ECLS included cardiac arrest (n = 17, 44.7%) and cardiogenic shock (n = 14, 35.9%). ECLS cannulation occurred after a median time of 4 (2-7) days post-operatively. Most patients' courses were complicated by acute kidney injury (n = 23, 59%), arrhythmias (n = 19, 48.7%), and postoperative bleeding (n = 20, 51.3%). In-hospital mortality was 84.6% (n = 33) with persistent heart failure (n = 11, 28.2%) as the most common cause of death. No peculiar differences were observed between in-hospital survivors and nonsurvivors. This study demonstrates that ECLS cannulation due to post-cardiotomy emergent adverse events in the general ward is rare, mainly occurring in preoperative low-risk patients and after a postoperative cardiac arrest. High complication rates and low in-hospital survival require further investigations to identify patients at risk for such a complication, optimize resources, enhance intervention, and improve outcomes.