Systemic inflammation response index predicts all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis

A predictive mortality score in ANCA-associated renal vasculitis

BACKGROUND

Several scores have been developed to predict mortality at anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) diagnosis. Their prognostic value in Caucasian patients with kidney involvement (AAV-GN) remains uncertain as none has been developed in this specific population. We aimed to propose a novel and more accurate score specific for them.

METHODS

This multicentric study included patients diagnosed with AAV-GN since January 2000 in four nephrology centers (recorded in the Maine-Anjou AAV-GN Registry). Existing scores and baseline characteristics were assessed at diagnosis before any therapeutic intervention. A multivariable analysis was performed to build a new predictive score for death. Its prognosis performance (area under receiving operating curve and C-index) and accuracy (Brier score) was compared with existing scores. One hundred and eighty-five patients with AAV-GN from the RENVAS registry were used as a validation cohort.

RESULTS

A total of 228 patients with AAV-GN from the Maine-Anjou registry were included to build the new score. It included the four components most associated with death: age, history of hypertension or cardiac disease, creatinine and hemoglobin levels at diagnosis. Overall, 194 patients had all the data available to determine the performance of the new score and existing scores. The new score performed better than the previous ones in the development and in the validation cohort. Among the scores tested, only Five-Factor Score and Japanese Vasculitis Activity Score had good performance in predicting death in AAV-GN.

CONCLUSIONS

This original score, named DANGER (Death in ANCA Glomerulonephritis-Estimating the Risk), may be useful to predict the risk of death in AAV-GN patients. Validation in different populations is needed to clarify its role in assisting clinical decisions.

The systemic inflammation response index as a risk factor for hepatic fibrosis and long-term mortality among individuals with metabolic dysfunction-associated steatotic liver disease

BACKGROUND AND AIMS

The systemic inflammation response index (SIRI) is associated with various diseases with inflammatory components, but its relationship with the progression of hepatic fibrosis and survival outcomes in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) is still unclear. This study was designed to investigate the potential associations between the SIRI and advanced hepatic fibrosis (AHF) as well as between the SIRI and long-term outcomes in individuals with MASLD.

METHODS AND RESULTS

A prospective cohort study was conducted using data gathered from the National Health and Nutrition Examination Survey (NHANES) spanning from 2005 to 2016. Weighted binary logistic regression, the Cox proportional hazards model, and time-dependent receiver operating characteristic (ROC) analyses were employed to assess the relationships among the SIRI, AHF, and mortality in patients with MASLD. Our study included a total of 5126 patients with MASLD. A higher SIRI was significantly associated with increased odds of AHF (OR 1.55, 95% CI 1.22, 1.96). According to the survival analyses, a higher SIRI was associated with greater all-cause (HR 1.19, 95% CI 1.15, 1.22) and cardiovascular mortality (HR 1.25, 95% CI 1.19, 1.32) after adjustment. The time-dependent ROC analysis indicated that the SIRI had a modest predictive value for discriminating MASLD individuals at higher versus lower mortality risk over 3-year, 5-year, and 10-year follow-up.

CONCLUSIONS

The SIRI is a promising tool for identifying MASLD individuals at risk of progressing to AHF and for predicting mortality outcomes.

Inflammatory indexes predict mortality in non-malignant patients in palliative care

BACKGROUND

The literature on the use of inflammatory indexes for palliative care patients without malignancy is scarce.

AIMS

To determine which inflammatory indexes are associated with the mortality risks of non-malignant patients hospitalised and receiving palliative care.

METHODS

Discharged or deceased patients in a palliative care unit of a secondary care hospital were included. The laboratory values were obtained during the first 48 hours of hospitalisation.

FINDINGS

As a result of univariate Cox regression analysis, 14-day mortality rate was affected by lymphocyte ratio, neutrophil-to-albumin ratio (NAR), C-reactive protein/albumin ratio (CAR), multi-inflammatory indexes (MII-1) and MII-2 (p<0.001, p=0.001, p=0.002, p=0.009 and p=0.003, respectively); NLR, CLR, NAR, CAR, MII-1 and MII-2 (respectively p=0.005, p<0.001, p<0.001, p<0.001, p=0.001 and p<0.001) affected 28-day mortality rate. Indexes that statistically significantly increased both 14-day and 28-day mortality rates independently of other variables were CLR, NAR, CAR, MII-1 and MII-2.

CONCLUSION

High values in inflammatory indexes, including C-reactive protein and albumin increase the risk of 14-day and 28-day mortality rates in palliative care non-malignant patients.

From Cardiovascular Prevention and Differential Diagnosis to the Treatment of Myocardial Damage-Experimental and Human Perspectives

Cardiovascular diseases are characterized by many clinical, morphological, functional, and biochemical markers, including age, sex, genetic factors, plasma lipids, glycemia, and many other laboratory parameters [...].

Reporting perioperative complications of radical cystectomy: the influence of using standard methodology based on ICARUS and EAU quality criteria

PURPOSE

We aimed to evaluate perioperative complications of radical cystectomy (RC) by using standardized methodology. Additionally, we identified independent risk factors associated with perioperative complications.

MATERIALS AND METHODS

We retrospectively analyzed 30-day and 90-day perioperative complications of 211 consecutive RC patients. The intraoperative and postoperative complications were defined according to Clavien-Dindo classification (CDC) and reported based on the ICARUS criteria, Martin, and EAU quality criteria. Age-adjusted Charlson comorbidity index (ACCI), systemic inflammatory response index (SIRI), body mass index (BMI) ≥ 25 kg/m², and neoadjuvant chemotherapy (NAC) were also evaluated. Multivariable regression models according to severe (CDC ≥ IIIb grade) complications were tested.

RESULTS

Overall, 88.6% (187/211) patients experienced at least one intraoperative complication. Bleeding during cystectomy was the most common complication observed (81.5% [172/211]). Severe intraoperative complications (EAUiaiC grade > 2) were recorded in 8 patients. Overall, 521 postoperative complications were recorded. Overall, 69.6% of the patients experienced complications. Thirty-nine patients suffered from most severe (CDC ≥ IIIb grade) complications. ACCI (OR: 1.492 [1.144-1.947], p = 0.003), SIRI (OR: 1.279 [1.029-1.575], p = 0.031), BMI (OR: 3.62 [1.58-8.29], p = 0.002), and NAC (OR: 0.342 [0.133-0.880], p = 0.025) were significant independent predictive factors for 90-day most severe complications (CDC ≥ IIIb grade).

CONCLUSIONS

RC complications were reported within a standardized manner, concordant with the ICARUS and Martin criteria and EAU guideline recommendations. Complication reporting seems to be improved with the use of standard methodology. Our results showed that ACCI, SIRI, and BMI ≥ 25 kg/m² and the absence of NAC were significant predictive factors for most severe complications.

Systemic Inflammation Response Index and Systemic Immune Inflammation Index Are Associated with Clinical Outcomes in Patients with Acute Pancreatitis?

OBJECTIVES

The inflammatory response is critically important in acute pancreatitis (AP). Systemic immune-inflammation (SII) index and systemic inflammation response index (SIRI), which are novel inflammatory markers, have been linked to determining outcomes in various diseases. The goal of the current study was to examine the relation of the SII index and SIRI with disease severity and acute kidney injury (AKI) in subjects with AP.

METHODS

A total of 332 subjects with AP were analyzed retrospectively. SII index was calculated using the formula; platelet (P)×neutrophil (N)/lymphocyte (L), while SIRI was calculated as N × monocyte (M)/L count. Multivariate regression (MR) was done to determine the independent risk factors for AKI and severe AP (SAP).

RESULTS

Statistical analyses showed that both median SII index and median SIRI increased gradually with higher AP severity (p < 0.001). Both SII index and SIRI were higher in subjects with AKI compared to controls (p < 0.001). Using MR analysis, the SII index was found to independently predict both SAP (OR = 1.004, 95% CI: 1.001-1.008, p = 0.018) and AKI (OR = 1.005, 95% CI: 1.003-1.008, p < 0.001). ROC analysis showed that the SII index could accurately differentiate SAP (AUC = 0.809, p < 0.001) and AKI (AUC = 0.820, p = 0.001) in patients with acute pancreatitis. ROC analysis also showed that SIRI could also accurately differentiate SAP (0.782, p < 0.001) and AKI (AUC = 0.776, p = 0.001).

CONCLUSIONS

SIRI and the SII indexes can be used as potential biomarkers in predicting both disease severity and AKI development in subjects with AP.