A nomogram with Nottingham prognostic index for predicting locoregional recurrence in breast cancer patients.

Background: The Nottingham prognostic index (NPI) has been shown to negatively impact survival in breast cancer (BC). However, its ability to predict the locoregional recurrence (LRR) of BC remains still unclear. This study aims to determine whether a higher NPI serves as a significant predictor of LRR in BC. Methods: In total, 238 patients with BC were included in this analysis, and relevant clinicopathological features were collected. Correlation analysis was performed between NPI scores and clinicopathological characteristics. The optimal nomogram model was determined by Akaike information criterion. The accuracy of the model's predictions was evaluated using receiver operating characteristic curves (ROC curves), calibration curves and goodness of fit tests. The clinical application value was assessed through decision curve analysis. Results: Six significant variables were identified, including age, body mass index (BMI), TNM stage, NPI, vascular invasion, perineural invasion (P<0.05). Two prediction models, namely a TNM-stage-based model and an NPI-based model, were constructed. The area under the curve (AUC) for the TNM-stage- and NPI-based models were 0.843 (0.785,0.901) and 0.830 (0.766,0.893) in training set and 0.649 (0.520,0.778) and 0.728 (0.610,0.846) in validation set, respectively. Both models exhibited good calibration and goodness of fit. The F-measures were 0.761vs 0.756 and 0.556 vs 0.696, respectively. Clinical decision curve analysis showed that both models provided clinical benefits in evaluating risk judgments based on the nomogram model. Conclusions: a higher NPI is an independent risk factor for predicting LRR in BC. The nomogram model based on NPI demonstrates good discrimination and calibration, offering potential clinical benefits. Therefore, it merits widespread adoption and application.

Value of the lung immune prognostic index in patients with advanced small cell lung cancer treated with programmed death-ligand 1 and programmed death-1 inhibitors in the Chinese alpine region.

Purpose: To assess the potential added value of the lung immune prognostic index (LIPI) in patients with small cell lung cancer (SCLC), treated with programmed death-ligand 1 (PD-L1)/programmed death-1 (PD-1) inhibitors, who lived in the Chinese alpine region. Methods: 120 SCLC patients treated with PD-L1/PD-1 inhibitors were divided into three LIPI groups, from July 2018 to April 2021. Cox regression models were used to evaluate the prognostic effect of three LIPI groups on overall survival (OS) and progression-free survival (PFS). Logistic regression analysis was conducted to explore the association between immune-related adverse events (irAEs) and the pretreatment of neutrophil-to-lymphocyte ratio (dNLR), lactate dehydrogenase (LDH), and LIPI. Results: The median OS was 4.5, 6.3, and 10.0 months (p=0.001) and the median PFS was 2.5, 4.3, and 5.3 months (p=0.049) for Poor, Intermediate, and Good LIPI, respectively. The disease control rate (DCR) was also higher in the Good LIPI group (p=0.003). Moreover, multivariate analysis confirmed that worse LIPI was correlated with shorter OS and PFS. dNLR was associated with the onset of irAEs, not LIPI. Conclusion: The LIPI might be a promising predictive and prognostic biomarker in SCLC patients treated with PD-L1/PD-1 inhibitors in the Chinese Alpine region.

Metabolic tumor volume from baseline [18 F]FDG PET/CT at diagnosis improves the IPI stratification in patients with diffuse large B-cell lymphoma.

PURPOSE: Although several different parameters of PET/CT were reported to be predictive of survival in DLBCL, the best parameter remains to be elucidated and whether it could improve the risk stratification of IPI in patients with DLBCL. PROCEDURES: 262 DLBCL patients including in the training and validation cohort were retrospectively analyzed in this study. RESULTS: Among different parameters, MTV was identified as the optimal prognostic parameter with a maximum area under the curve (AUC) of 0.652 ± 0.112 than TLG and SDmax (0.645 ± 0.113 and 0.600 ± 0.117, respectively). Patients with high MTV were associated with inferior PFS (p < 0.001 and p = 0.021, respectively) and OS (p < 0.001 and p < 0.001, respectively) in both the training and validation cohort. The multivariate analysis revealed that high MTV was an unfavorable factor for PFS (relative ratio [RR], 2.295; 95% confidence interval [CI], 1.457-3.615; p < 0.01) and OS (RR, 2.929; 95% CI 1.679-5.109; p < 0.01) independent of IPI. CONCLUSIONS: Further analysis showed MTV could improve the risk stratification of IPI for both PFS and OS (p < 0.01 and p < 0.01, respectively). In conclusion, our study suggests that MTV was an optimal prognostic parameter of PET/CT for survival and it could improve the risk stratification of IPI in DLBCL, which may help to guide treatment in clinical trial.

Lung immune prognostic index (LIPI) as a prognostic factor in patients with extensive-stage small cell lung cancer treated with first-line chemoimmunotherapy.

INTRODUCTION: The lung immune prognostic index (LIPI) is a biomarker that combines the lactate dehydrogenase (LDH) value and the derived neutrophil/lymphocyte ratio (dNLR). Its prognostic ability has been reported in non-small cell lung cancer (NSCLC) with immunotherapy. In the context of extensive-stage small cell lung cancer (ES-SCLC) with chemoimmunotherapy, its role remains to be determined. METHODS: A retrospective, multicenter study of patients with ES-SCLC who received atezolizumab plus chemotherapy as first-line treatment was conducted. 101 patients were divided into three groups: LIPI good (n = 33), LIPI intermediate (n = 41), and LIPI poor (n = 27). The Kaplan-Meier method was used for analysis of overall survival (OS) and progression-free survival (PFS), using the log-rank test for comparisons. Univariate and multivariate Cox models were developed to assess the LIPI as an independent predictor of survival. RESULTS: The good LIPI group had a significantly longer median PFS than the intermediate and poor LIPI groups: 9.6 vs 5.4 vs 5.2 months, respectively (p < 0.001). Significant differences in OS between good, intermediate, and poor LIPI were also observed, with median OS of 23.4 vs 9.8 vs 6.0 months, respectively (p < 0.001). Multivariate Cox regression analysis for PFS identified liver metastases and intermediate and poor LIPI as worse prognostic factors (p < 0.050). For OS, a worse prognosis was confirmed in both the intermediate LIPI group (HR: 2.18, 95% CI: 1.07-4.41, p = 0.031) and the poor LIPI group (HR: 5.40, 95% CI: 2.64-11.07, p < 0.001). CONCLUSIONS: In patients with ES-SCLC treated with chemoimmunotherapy, an intermediate and poor pretreatment LIPI score was associated with worse PFS and OS prognosis.

Prognostic Impact of Malignant Wounds in Patients With Head and Neck Cancer: Secondary Analysis of a Prospective Cohort Study.

INTRODUCTION: Malignant wounds are lesions caused by metastasis from distant primary cancers or by direct invasion of the cutaneous structures of a primary cancer, and are most common in patients with breast or head and neck cancers. Malignant wounds not only cause physical symptoms, but also affect survival. Recognizing prognosis in terminal-stage cancer patients is necessary for both patients and health care providers. The prognostic impact of malignant wounds in patients with head and neck cancer has been poorly investigated. METHODS: This is a secondary analysis of the results of a prospective cohort study that investigated the dying process in patients with advanced cancer in 23 palliative care units in Japan. The primary outcome of this study was the prognostic impact of malignant wounds in patients with head and neck cancer. The difference in survival between patients with head and neck cancer who had malignant wounds and those who did not was compared using the log-rank test. RESULTS: Of 1896 patients admitted to palliative care units, 68 had head and neck cancer, and 29 of these had malignant wounds. Overall survival was significantly shorter in patients with malignant wounds than that in those without (median: 19.0 days vs 32.0 days, P = 0.046). CONCLUSION: Patients with head and neck cancer who had malignant wounds had worse overall survival than those who did not.

Predicting radiotherapy efficacy and prognosis in tongue squamous cell carcinoma through an in-depth analysis of a radiosensitivity gene signature.

Background: Tongue squamous cell carcinoma (TSCC) is a prevalent tumor that affects many people worldwide. Radiotherapy is a common treatment option, but its efficacy varies greatly. This study seeks to validate the identified gene signature associated with radiosensitivity in TSCC, and its potential in predicting radiotherapy response and prognosis. Methods: We analyzed 122 TSCC patients from TCGA database using the radiosensitivity signature and classified them into radiosensitive (RS) and radioresistant (RR) groups. Immune infiltration analysis methods were applied to investigate the immune status between different subgroups. Immunophenotype Score (IPS) and pRRophetic algorithm were employed to estimate the efficiency of treatment. A radioresistant TSCC cell line was established by gradually increasing radiation doses. Cell radiosensitivity was evaluated using the CCK-8 and colony formation assays. The expression of radiosensitivity-related genes was validated by qRT-PCR. Results: Our study validated the predictive capacity of a previously identified "31-gene signature" in the TCGA-TSCC cohort, which effectively stratified patients into RS and RR groups. We observed that the RS group exhibited superior overall survival and progression-free survival rates relative to the RR group when treated with radiotherapy. The RS group was significantly enriched in most immune-related hallmark pathways, and may therefore benefit from immune checkpoint inhibitors. However, the RS group displayed lower sensitivity to first-line chemotherapy. A radioresistant TSCC cell line (CAL-27R) exhibited increased clonogenic potential and cell viability following irradiation, accompanied by downregulation of three radiosensitivity-related genes compared to its parental non-resistant cell (CAL-27). In addition, we constructed and validated a radiosensitivity-related prognostic index (PI) using 4 radiosensitivity-related genes associated with TSCC prognosis. Conclusion: We assessed the ability of the radiosensitivity gene signature to predict outcomes in TSCC patients. our research provided valuable insights into the molecular pathways associated with radiosensitivity in TSCC and offered clinicians a practical tool to predict patient radiotherapy effectiveness and prognosis.

Patient- vs organ-based prognostic tools for older patients in critical care units : An observational study with a 3-month follow-up.

BACKGROUND: Anticipating a doubling of older adults in Europe by 2050, healthcare systems face substantial challenges, particularly in critical care units. However, there is still a lack of evidence-based knowledge for treating and assessing mortality risk in older patients. This study compared the predictive accuracy of two assessment tools for long-term outcomes among older patients: the Multidimensional Prognostic Index (MPI) and the Sequential Organ Failure Assessment (SOFA). As the MPI is based on a more holistic assessment, it may provide a more accurate prediction than the organ-based SOFA. OBJECTIVE: Does the MPI provide a more accurate prediction of mortality risk and quality of life for older patients in critical care units than the organ-based SOFA score? METHODS: In a 6-month study, 96 patients aged 65 and older admitted to intensive (ICU) or intermediate care units (IMC) were enrolled to assess 90-day mortality using a comprehensive geriatric assessment-based MPI and the SOFA score. The follow-up (FU) involved telephone assessments 30 and 90 days after admission, focusing on posthospitalization health and quality of life. RESULTS: Both MPI (p = 0.039) and SOFA score (p = 0.014) successfully predicted mortality among older IMC and ICU patients in logistic regressions. Receiver operating characteristic (ROC) analyses demonstrated comparable areas under the curve (AUCs) for MPI (0.618) and SOFA score (0.621), as well as a similar sensitivity and specificity (MPI 61.0% and 52.9%; SOFA score: 68.9% and 45.1%, respectively). The MPI at admission moreover correlated significantly with quality of life (p < 0.001, r = -0.631 at discharge; p = 0.005, r = -0.377 at 30-day FU; p = 0.004, r = -0.409 at 90-day FU) and nursing needs (Mann-Whitney U­test, p = 0.002 at 30-day FU; p = 0.011 at 90-day FU) at FU, while the SOFA score did not show significant associations with respect to these parameters. CONCLUSIONS: In geriatric critical care, both the MPI and the SOFA score effectively predict mortality risk. While the SOFA score may appear more practical due to its simpler and faster implementation, only the MPI demonstrated significant correlations with quality of life and nursing needs in the FU after 30 and 90 days.

The Dilemma for Early-Stage Conjunctival Mucosa-Associated Lymphoid Tissue Lymphoma: To Treat or Not to Treat?

BACKGROUND: Primary ocular adnexal mucosa-associated lymphoid tissue lymphoma (MALToma) is typically treated with radiotherapy. Some studies suggested a "wait and watch" approach due to the adverse effects of radiotherapy. However, the benefits of observation for localized conjunctival MALToma remain unclear. Therefore, we aimed to explore the clinical course of early-stage conjunctival MALToma, distinguish heterogeneity between T1 and T2 patients, and identify prognostic factors. METHODS: This retrospective study involved patients with stage T1-T2 conjunctival MALToma and lasted >6 months. Clinical characteristics were compared between T1 and T2 subjects. Prognostic factors were examined with Cox regression. RESULTS: The research comprised 32 subjects with early-stage conjunctival MALToma, of whom 25% underwent observation. No individuals expired regardless of choosing observation or radiotherapy. The T1 patients were younger (p = 0.002) and more inclined towards observation only (p = 0.035) than the T2 subjects. Despite more of the T1 patients undergoing watchful waiting than the T2 subjects, the T1 patients seemed to have longer systemic relapse-free survival than the T2 subjects (17 vs. 13 years, p = 0.343). CD43 may imply poor prognosis (p = 0.049). CONCLUSIONS: Careful observation may be suggested for early-stage conjunctival MALToma. While more of the T1 individuals were younger and chose observation than the T2 patients, survival seemed longer in the T1 subjects without significance. CD43 may indicate shorter survival in early-stage cases.

Lung immune prognostic index is associated with clinical outcomes in recurrent or metastatic (R/M) nasopharyngeal carcinoma receiving immunotherapy: Results from the multicenter, single-arm, phase 2 study.

BACKGROUND: Immune-related biomarkers are linked to the outcomes of cancer immunotherapy. This study evaluates the baseline and longitudinal association between the lung immune prognostic index (LIPI) and immune checkpoint inhibitor outcomes in previously treated recurrent or metastatic (R/M) nasopharyngeal carcinoma (NPC) patients. METHODS: Data from 153 R/M NPC patients (median age = 49.00 years old) enrolled in a multicenter, single-arm, phase 2 study (NCT03848286) were analyzed. Pretreatment LIPI was classified into good and intermediate/poor (inter/poor) groups. Longitudinal LIPI variations were categorized into "Stable good", "Trend to increase", "Trend to decrease", and "Stable inter/poor". Primary and secondary outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). RESULTS: Pretreatment LIPI was significantly associated with OS (inter/poor vs. good: HR = 2.54, 95 % CI: 1.60-4.04, P < 0.001), PFS [inter/poor vs. good: hazard ratio (HR) = 2.18, 95 % CI: 1.47-3.23, P < 0.001], and DCR [inter/poor vs. good: odd ratio (OR) = 0.26, 95 % CI: 0.12-0.58, P < 0.001)]. Patients with persistently inter/poor LIPI status showed worse OS (HR = 3.25, 95 % CI: 1.84-5.74, P < 0.001), PFS (HR = 2.96, 95 % CI: 1.85-4.74, P < 0.001), and ORR (OR = 0.21, 95 % CI: 0.08-0.56, P < 0.001) compared to the persistently good subgroup. CONCLUSION: Pretreatment LIPI and its longitudinal variations may serve as potential biomarkers for predicting immune checkpoint inhibitor outcomes in R/M NPC patients.

The application of lung immune prognostic index in predicting the prognosis of 302 STS patients.

Background: Soft tissue sarcoma (STS) are heterogeneous and rare tumors, and few studies have explored predicting the prognosis of patients with STS. The Lung Immune Prognostic Index (LIPI), calculated based on baseline serum lactate dehydrogenase (LDH) and the derived neutrophils/(leukocytes minus neutrophils) ratio (dNLR), was considered effective in predicting the prognosis of patients with pulmonary cancer and other malignancies. However, the efficacy of the LIPI in predicting the prognosis of patients with STS remains unclear. Methods: This study retrospectively reviewed patients with STS admitted to our center from January 2016 to January 2021. Their hematological and clinical characteristics were collected and analyzed to construct the LIPI specific to STS. The correlations between various predictive factors and overall survival (OS) were examined using Kaplan-Meier and Cox regression analyses. Independent risk factors for OS were identified using univariate and multivariate analyses. Finally, a LIPI nomogram model for STS was established. Results: This study enrolled 302 patients with STS, of which 87 (28.9%), 162 (53.6%), and 53 (17.5%) were classified into three LIPI-based categories: good, moderate, and poor, respectively (P < 0.0001). The time-dependent operator curve showed that the LIPI had better prognostic predictive ability than other hematological and clinical characteristics. Univariate and multivariate analyses identified the Fédération Nationale des Centres de Lutte Contre le Cancer grade (FNCLCC/G), tumor size, and LIPI as independent risk factors. Finally, a nomogram was constructed by integrating the significant prognostic factors. Its C-index was 0.72, and the calibration curve indicated that it could accurately predict the three- and five-year OS of patients with STS. The decision and clinical impact curves also indicated that implementing this LIPI-nomogram could significantly benefit patients with STS. Conclusion: This study explored the efficacy of the LIPI in predicting the prognosis of 302 patients with STS, classifying them into three categories to evaluate the prognosis. It also reconstructed a LIPI-based nomogram to assist clinicians in predicting the three- and five-year OS of patients with STS, potentially enabling timely intervention and customized management.

Effect of Vitamin D and Skeletal Muscle Mass on Prognosis of Patients with Diffuse Large B-Cell Lymphoma.

This study investigated the prognostic impact of vitamin D deficiency and reduced skeletal muscle mass in diffuse large B-cell lymphoma (DLBCL) patients. A retrospective analysis of 186 newly diagnosed DLBCL patients from 2012 to 2022 was conducted, measuring serum 25-hydroxyvitamin D [25(OH)D] levels and the skeletal muscle index (SMI). Decreased vitamin D levels were linked to more severe DLBCL disease, with a median 25(OH)D concentration of 13 (4.0-27) ng/mL. Males in the group with a low SMI had a considerably lower 25(OH)D concentration. The optimal threshold of 25(OH)D levels for overall survival (OS) was 9.6 ng/mL, with lower values associated with a higher likelihood of recurrence and mortality. Multivariable analysis showed hazard ratios for OS of 1.4 [95% CI 0.77-2.5] for a low SMI and 3.2 [95% CI 1.8-5.8] for low 25(OH)D concentration. The combination of a low SMI and low vitamin D concentration resulted in the worst prognosis. Thus, low levels of vitamin D associated with disease progression significantly impact DLBCL prognosis, which can be further stratified by the SMI, providing valuable insights for patient management and potential therapeutic interventions.

Relationship Between Endothelial Function, Vital Parameters, and Cognitive Performance in Community Dwellers with Subjective Cognitive Decline: An Observational Study with Six Months Follow Up.

Background: With advancing age, cognitive decline is frequently associated with endothelial dysfunction, but data on vascular performance prior to the onset of mild cognitive impairment (MCI) is scarce. Objective: To investigate the relationship between endothelial function, vital parameters and cognitive performance in older adults with subjective cognitive decline (SCD). Methods: Forty-five volunteers aged 65 years and older with SCD underwent comprehensive geriatric assessment-based prognosis evaluation by means of the Multidimensional Prognostic Index (MPI), full neuropsychological examination and peripheral arterial tonometry measurement by means of EndoPAT™2000 to evaluate endothelial flexibility and vital parameters. Six months after initial evaluation, participants were contacted by phone and a telephone-administered version of the MPI (TELE-MPI) was conducted. Results: Fifteen study participants scored below the cutoff score of 26 on the Montreal Cognitive Assessment, suggesting MCI (26.56±2.23). Nominal significant correlations were found between heart rate (HR) and trail making test (TMT) A (ß= -0.49, p = 0.03), between heart rate variability (HRV) and TMT B (ß= 0.78, p = 0.041), between power of low-frequency band (LF) HRV and Mini Nutritional Assessment-Short Form (ß= 0.007, p = 0.037) as well as between augmentation index (AI) and CogState Detection Test (ß= 0.002, p = 0.034). Conclusions: HR, HRV, and AI, but not endothelial flexibility are associated with cognitive performance in SCD and suspected MCI patients and may serve as clinical biomarkers in the early diagnosis of neurodegenerative disorders with advancing age.

Towards better mortality prediction in cancer patients in the ICU: a comparative analysis of prognostic scales: systematic literature review.

OBJECTIVE: To evaluate the predictive ability of mortality prediction scales in cancer patients admitted to intensive care units (ICUs). DESIGN: A systematic review of the literature was conducted using a search algorithm in October 2022. The following databases were searched: PubMed, Scopus, Virtual Health Library (BVS), and Medrxiv. The risk of bias was assessed using the QUADAS-2 scale. SETTING: ICUs admitting cancer patients. PARTICIPANTS: Studies that included adult patients with an active cancer diagnosis who were admitted to the ICU. INTERVENTIONS: Integrative study without interventions. MAIN VARIABLES OF INTEREST: Mortality prediction, standardized mortality, discrimination, and calibration. RESULTS: Seven mortality risk prediction models were analyzed in cancer patients in the ICU. Most models (APACHE II, APACHE IV, SOFA, SAPS-II, SAPS-III, and MPM II) underestimated mortality, while the ICMM overestimated it. The APACHE II had the SMR (Standardized Mortality Ratio) value closest to 1, suggesting a better prognostic ability compared to the other models. CONCLUSIONS: Predicting mortality in ICU cancer patients remains an intricate challenge due to the lack of a definitive superior model and the inherent limitations of available prediction tools. For evidence-based informed clinical decision-making, it is crucial to consider the healthcare team's familiarity with each tool and its inherent limitations. Developing novel instruments or conducting large-scale validation studies is essential to enhance prediction accuracy and optimize patient care in this population.

Identify truly high-risk TP53-mutated diffuse large B cell lymphoma patients and explore the underlying biological mechanisms.

TP53 mutation (TP53-mut) correlates with inferior survival in many cancers, whereas its prognostic role in diffuse large B-cell lymphoma (DLBCL) is still in controversy. Therefore, more precise risk stratification needs to be further explored for TP53-mut DLBCL patients. A set of 2637 DLBCL cases from multiple cohorts, was enrolled in our analysis. Among the 2637 DLBCL patients, 14.0% patients (370/2637) had TP53-mut. Since missense mutations account for the vast majority of TP53-mut DLBCL patients, and most non-missense mutations affect the function of the P53 protein, leading to worse survival rates, we distinguished patients with missense mutations. A TP53 missense mutation risk model was constructed based on a 150-combination machine learning computational framework, demonstrating excellent performance in predicting prognosis. Further analysis revealed that patients with high-risk missense mutations are significantly associated with early progression and exhibit dysregulation of multiple immune and metabolic pathways at the transcriptional level. Additionally, the high-risk group showed an absolutely suppressed immune microenvironment. To stratify the entire cohort of TP53-mut DLBCL, we combined clinical characteristics and ultimately constructed the TP53 Prognostic Index (TP53PI) model. In summary, we identified the truly high-risk TP53-mut DLBCL patients and explained this difference at the mutation and transcriptional levels.

A transitional care program in a technologically monitored in-hospital facility reduces the length of hospital stay and improves multidimensional frailty in older patients: a Randomized Clinical Trial.

BACKGROUND: Longer length of hospital stay (LOS) negatively affects the organizational efficiency of public health systems and both clinical and functional aspects of older patients. Data on the effects of transitional care programs based on multicomponent interventions to reduce LOS of older patients are scarce and controversial. AIMS: The PRO-HOME study aimed to assess the efficacy in reducing LOS of a transitional care program involving a multicomponent intervention inside a technologically monitored in-hospital discharge facility. METHODS: This is a Randomized Clinical Trial on 60 patients (≥65 years), deemed stable and dischargeable from the Acute Geriatrics Unit, equally assigned to the Control Group (CG) or Intervention Group (IG). The latter underwent a multicomponent intervention including lifestyle educational program, cognitive and physical training. At baseline, multidimensional frailty according to the Multidimensional Prognostic Index (MPI), and Health-Related Quality of Life (HRQOL) were assessed in both groups, along with physical capacities for the IG. Enrolled subjects were evaluated after 6 months of follow-up to assess multidimensional frailty, HRQOL, and re-hospitalization, institutionalization, and death rates. RESULTS: The IG showed a significant 2-day reduction in LOS (median days IG = 2 (2-3) vs. CG = 4 (3-6); p < 0.001) and an improvement in multidimensional frailty at 6 months compared to CG (median score IG = 0.25(0.25-0.36) vs. CG = 0.38(0.31-0.45); p = 0.040). No differences were found between the two groups in HRQOL, and re-hospitalization, institutionalization, and death rates. DISCUSSION: Multidimensional frailty is a reversible condition that can be improved by reduced LOS. CONCLUSIONS: The PRO-HOME transitional care program reduces LOS and multidimensional frailty in hospitalized older patients. TRIAL REGISTRATION: ClinicalTrials.gov n. NCT06227923 (retrospectively registered on 29/01/2024).

Profiles of Geriatric Syndromes and Resources in Older Patients with Atrial Fibrillation.

Objective: Older patients with nonvalvular atrial fibrillation (AF) are at high risk for frailty and geriatric syndromes (GSs), which modulate their individual prognosis and are therefore relevant for further management. Because few studies have evaluated the geriatric profile of older AF patients, this secondary analysis aims to further characterize the patterns of GSs and geriatric resources (GRs) in AF patients and their association with anticoagulation use. Methods: Data from 362 hospitalized patients aged 65 years and older with AF (n = 181, 77.8 ± 5.8 years, 38% female) and without AF (non-AF [NAF]; n = 181, 77.5 ± 5.9 years, 40% female) admitted to an internal medicine and nephrology ward of a large university hospital in Germany were included. All patients underwent usual care plus a comprehensive geriatric assessment (CGA) including calculation of the Multidimensional Prognostic Index (MPI) and collection of 17 GSs and 10 GRs. Patients were followed up by telephone 6 and 12 months after discharge to collect data on their health status. Results: The mean MPI score of 0.47 indicated an average risk of poor outcome, and patients with AF had a significantly higher MPI than those without AF (p = 0.040). After adjustment for chronological age, biological sex, Cumulative Illness Rating Scale (CIRS) for relevant chronic diagnoses and MPI as a proxy for biological age, AF patients had significantly more mnestic resources (63.5% vs. 33.1%, p < 0.001), a tendency for less age-appropriate living conditions (56.4% vs. 72.9%, p = 0.051) and more sensory impairment (78.5% vs. 52.5%, p < 0.001) than NAF patients. They also had a higher number of GSs (p = 0.046). AF patients on oral anticoagulants (OACs, n = 91) had less age-appropriate living conditions (48.4% vs. 64.4%, p < 0.05) and mnestic resources (36.3% vs. 54.4%, p < 0.01), but more emotional resources (80.2% vs. 65.6%, p < 0.05) and chronic pain (56% vs. 40%, p < 0.05) than patients without OACs (n = 90). Overall, mortality at 1 year was increased in patients with a higher MPI (p < 0.009, adjusted for age, sex and CIRS), with a diagnosis of AF (p = 0.007, adjusted for age, sex, CIRS and MPI), with of male sex (p = 0.008, adjusted for age, CIRS and MPI) and those with AF and treated with hemodialysis (p = 0.022, compared to AF patients without dialysis treatment). Conclusions: Patients with AF and patients with AF and OACs show differences in their multidimensional frailty degree as well as GR and GS profiles compared to patients without AF or with AF not treated with OACs. Mortality after 1 year is increased in AF patients with a higher MPI and dialysis, independently from OAC use and overall burden of chronic disease as assessed per CIRS. GRs and GSs, especially age-appropriate living conditions, emotional resources, sensory impairment and chronic pain, can be considered as factors that may modify the individual impact of frailty, underscoring the relevance of these parameters in the management of older patients.

Predictive value of inflammatory prognostic index for contrast-induced nephropathy in patients undergoing coronary angiography and/or percutaneous coronary intervention.

The purpose of this study was to investigate the relationship between Inflammatory Prognostic Index (IPI) levels and Contrast-Induced Nephropathy (CIN) risk and postoperative clinical outcomes in patients undergoing coronary angiography (CAG) and/or percutaneous coronary intervention (PCI). A total of 3,340 consecutive patients who underwent CAG and/or PCI between May 2017 and December 2022 were enrolled in this study. Based on their baseline IPI levels, patients were categorized into four groups. Clinical characteristics and postoperative outcomes were compared among these groups. In-hospital outcomes focused on CIN risk, repeated revascularization, major bleeding, and major adverse cardiovascular events (MACEs), while the long-term outcome examined the all-cause readmission rate. Quartile analysis found a significant link between IPI levels and CIN risk, notably in the highest quartile (P < 0.001). Even after adjusting for baseline factors, this association remained significant, with an adjusted Odds Ratio (aOR) of 2.33 (95%CI 1.50-3.64; P = 0.001). Notably, baseline IPI level emerged as an independent predictor of severe arrhythmia, with aOR of 0.50 (95%CI 0.35-0.69; P < 0.001), particularly driven by the highest quartile. Furthermore, a significant correlation between IPI and acute myocardial infarction was observed (P < 0.001), which remained significant post-adjustment. For patients undergoing CAG and/or PCI, baseline IPI levels can independently predict clinical prognosis. As a comprehensive inflammation indicator, IPI effectively identifies high-risk patients post-procedure. This study underscores IPI's potential to assist medical professionals in making more precise clinical decisions, ultimately reducing mortality and readmission rates linked to cardiovascular disease (CVD).

Corrigendum: Identification of an immune-related gene prognostic index for predicting survival and immunotherapy efficacy in papillary renal cell carcinoma.

[This corrects the article DOI: 10.3389/fgene.2022.970900.].

Prognostic value of lung immune prognostic index in non-small cell lung cancer patients receiving immune checkpoint inhibitors: a meta-analysis.

Background and Purpose: Until now, it has been difficult to accurately predict the efficacy of immunotherapy in patients with non-small cell lung cancer (NSCLC). A novel indicator, the lung immune prognostic index (LIPI), has shown relatively high prognostic value in patients with solid cancer. Therefore, this study aimed to further identify the association between LIPI and the survival of patients with NSCLC who receive immune checkpoint inhibitors (ICIs). Methods: Several electronic databases were searched for available publications up to April 23, 2023. Immunotherapy outcomes included overall survival (OS), progression-free survival (PFS), and hazard ratios (HRs) with 95% confidence intervals (CIs). Subgroup analysis based on the study design and comparison of the LIPI was conducted. Results: In this meta-analysis, 21 studies with 9,010 patients were included in this meta-analysis. The pooled results demonstrated that elevated LIPI was significantly associated with poor OS (HR = 2.50, 95% CI:2.09-2.99, p < 0.001) and PFS (HR = 1.77, 95% CI:1.64-1.91, p < 0.001). Subgroup analyses stratified by study design (retrospective vs. prospective) and comparison of LIPI (1 vs. 0, 2 vs. 0, 1-2 vs. 0, 2 vs. 1 vs. 0, 2 vs. 0-1 and 2 vs. 1) showed similar results. Conclusion: LIPI could serve as a novel and reliable prognostic factor in NSCLC treated with ICIs, and elevated LIPI predicts worse prognosis.

Comprehensive Analysis of angiogenesis associated genes and tumor microenvironment infiltration characterization in cervical cancer.

Background: Cervical cancer is among the most prevalent malignancies worldwide. This study explores the relationships between angiogenesis-related genes (ARGs) and immune infiltration, and assesses their implications for the prognosis and treatment of cervical cancer. Additionally, it develops a diagnostic model based on angiogenesis-related differentially expressed genes (ARDEGs). Methods: We systematically evaluated 15 ARDEGs using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), and Gene Set Variation Analysis (GSVA). Immune cell infiltration was assessed using a single-sample gene-set enrichment analysis (ssGSEA) algorithm. We then constructed a diagnostic model for ARDEGs using Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis and evaluated the diagnostic value of this model and the hub genes in predicting clinical outcomes and immunotherapy responses in cervical cancer. Results: A set of ARDEGs was identified from the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and UCSC Xena database. We performed KEGG, GO, and GSEA analyses on these genes, revealing significant involvement in cell proliferation, differentiation, and apoptosis. The ARDEGs diagnostic model, constructed using LASSO regression analysis, showed high predictive accuracy in cervical cancer patients. We developed a reliable nomogram and decision curve analysis to evaluate the clinical utility of the ARDEG diagnostic model. The 15 ARDEGs in the model were associated with clinicopathological features, prognosis, and immune cell infiltration. Notably, ITGA5 expression and the abundance of immune cell infiltration (specifically mast cell activation) were highly correlated. Conclusion: This study identifies the prognostic characteristics of ARGs in cervical cancer patients, elucidating aspects of the tumor microenvironment. It enhances the predictive accuracy of immunotherapy outcomes and establishes new strategies for immunotherapeutic interventions.