National ICU Registries as Enablers of Clinical Research and Quality Improvement.

OBJECTIVES: Clinical quality registries (CQRs) have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. This narrative review describes the challenges, proposed solutions, and evidence generated by National ICU registries as facilitators for research and quality improvement. DATA SOURCES: English language articles were identified in PubMed using phrases related to ICU registries, CQRs, outcomes, and case-mix. STUDY SELECTION: Original research, review articles, letters, and commentaries, were considered. DATA EXTRACTION: Data from relevant literature were identified, reviewed, and integrated into a concise narrative review. DATA SYNTHESIS: CQRs have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. The initial experience in European countries and in Oceania ensured that through locally generated data, ICUs could assess their performances by using risk-adjusted measures and compare their results through fair and validated benchmarking metrics with other ICUs contributing to the CQR. The accomplishment of these initiatives, coupled with the increasing adoption of information technology, resulted in a broad geographic expansion of CQRs as well as their use in quality improvement studies, clinical trials as well as international comparisons, and benchmarking for ICUs. CONCLUSIONS: ICU registries have provided increased knowledge of case-mix and outcomes of ICU patients based on real-world data and contributed to improve care delivery through quality improvement initiatives and trials. Recent increases in adoption of new technologies (i.e., cloud-based structures, artificial intelligence, machine learning) will ensure a broader and better use of data for epidemiology, healthcare policies, quality improvement, and clinical trials.

Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts.

BACKGROUND: The aim of this retrospective cohort study was to develop and validate on multiple international datasets a real-time machine learning model able to accurately predict persistent acute kidney injury (AKI) in the intensive care unit (ICU). METHODS: We selected adult patients admitted to ICU classified as AKI stage 2 or 3 as defined by the "Kidney Disease: Improving Global Outcomes" criteria. The primary endpoint was the ability to predict AKI stage 3 lasting for at least 72 h while in the ICU. An explainable tree regressor was trained and calibrated on two tertiary, urban, academic, single-center databases and externally validated on two multi-centers databases. RESULTS: A total of 7759 ICU patients were enrolled for analysis. The incidence of persistent stage 3 AKI varied from 11 to 6% in the development and internal validation cohorts, respectively and 19% in external validation cohorts. The model achieved area under the receiver operating characteristic curve of 0.94 (95% CI 0.92-0.95) in the US external validation cohort and 0.85 (95% CI 0.83-0.88) in the Italian external validation cohort. CONCLUSIONS: A machine learning approach fed with the proper data pipeline can accurately predict onset of Persistent AKI Stage 3 during ICU patient stay in retrospective, multi-centric and international datasets. This model has the potential to improve management of AKI episodes in ICU if implemented in clinical practice.

Parental practices that influence children's development: how often are they implemented and by whom-results from the NASCITA birth cohort study.

This study aims to assess how commonly 15 parental practices, known to have positive effects on child and adult health, are carried out by families in Italy, if they are related, and which characteristics are associated with implementation. Children participating in the NASCITA Cohort, a prospective study in which family pediatricians in Italy collect data on children and their families, were included if they had sufficient data. Data on practice implementation, socio-demographic characteristics, and interrelatedness between practices were analyzed. In all, 3337 children were included. Their mothers had an average age at birth of 33 years (range 17-52) and medium-high levels of education (86% of mothers) and employment (72%). No smoking or alcohol in pregnancy, supine infant sleeping position, and tummy time were the most commonly implemented practices (by over 85% of mothers, each), while the least common was exclusive breastfeeding at 6 months (28%). Parental practices are related and several socio-demographic characteristics influence their implementation, with mother's educational level and geographic area of residence influencing most of the practices (each influencing 12 of 15 practices). Low educational level (OR 0.34; 95% CI 0.26-0.44), being born abroad (OR 0.43; 95% CI 0.34-0.56), and residing in the South (OR 0.49; 95% CI 0.41-0.58) most reduce the probability of implementing numerous supportive practices (all three P < 0.001).    Conclusion: Socio-demographic factors contribute significantly to carrying out supportive practices. Future interventions should address the identified inequalities, prioritizing families most in need. Direct involvement of pediatricians is warranted given their favorable position for promoting positive behaviors. What is Known: • Several parental actions in the early life of a child are known to have positive effects on later child health and development. • While folic acid supplementation and exclusive breastfeeding have been promoted for years, other supporting actions are less well-known. What is New: • Rates of parental adherence to the different supportive actions varied greatly and actions were often scantly adopted. • Socio-demographic characteristics influenced adherence, with young, unemployed mothers with low educational levels, living in the South, or who were born abroad adhering significantly less.

Cardiogenic shock diagnosis and management in general intensive care: a nationwide survey.

BACKGROUND: the epidemiology of cardiogenic shock has evolved over the years: in the last decades an increasing prevalence of cardiogenic shock related to acute decompensated heart failure was observed. Therefore, treatment bundles should be updated according to the underlying pathophysiology. No data exist regarding the diagnostic/therapeutic strategies in general intensive care units. METHODS: A 27-questions survey was spread through the GiViTi (Italian Group for the Evaluation of Interventions in Intensive Care Medicine). The results were then divided according to level of hospitals (1st-2nd versus 3rd). RESULTS: Sixty-nine general intensive care units replied to the survey. The shock team is present in 13% of institutions; Society for Cardiovascular Angiography and Interventions shock classification is applied only in 18.8%. Among the ICUs, 94.2% routinely use a cardiac output monitoring device (pulmonary artery catheter more frequently in 3rd level centers). The first-line adrenergic drug are vasopressors in 27.5%, inotrope in 21.7% or their combination in 50.7%; 79.7% applies fluid challenge. The first vasopressor of choice is norepinephrine (95.7%) (maximum dosage tolerated higher than 0.5 mcg/kg/min in 29%); the first line inotrope is dobutamine (52.2%), followed by epinephrine in 36.2%. The most frequently used mechanical circulatory supports are intra-aortic balloon pump (71%), Impella (34.8%) and VA-ECMO (33.3%); VA-ECMO is the first line strategy in refractory cardiogenic shock (60.8%). CONCLUSIONS: According to this survey, there is no standardized approach to cardiogenic shock amongst Italian general intensive care units. The application of shock severity stratification and the treatment bundles may play a key role in improving the outcome.

Understanding the burden of antibiotic resistance: a decade of carbapenem-resistant Gram-negative bacterial infections in Italian intensive care units.

Introduction: In patients admitted to intensive care units (ICUs), Gram-negative bacteria (GNB) infections pose significant challenges due to their contribution to morbidity, mortality, and healthcare costs. During the SARS-CoV-2 pandemic, Italy witnessed a rise in healthcare-associated infections (HAIs), with GNBs involved in a substantial proportion of cases. Concerningly, carbapenem-resistant GNBs (CR-GNBs) have increased worldwide, posing therapeutic challenges. Methods: Retrospective multicentre study analysing data from over 299,000 patients admitted to Italian ICUs from 2013 to 2022. Results: The study revealed an average of 1.5 infections per patient, with HAIs peaking during the pandemic years. Ventilator associated pneumonia (VAP) emerged as the most common HAI, with Klebsiella spp. and Pseudomonas aeruginosa predominating. Alarmingly, CR-GNBs accounted for a significant proportion of infections, particularly in VAP, bloodstream infections, and intra-abdominal infections. Discussion: Our findings underscore the pressing need for enhanced infection control measures, particularly in the ICU setting, to mitigate the rising prevalence of CR-GNBs and their impact on patient outcomes. The study provides valuable insights into the epidemiology of HAIs in Italian ICUs and highlights the challenges posed by CR-GNBs, especially in the context of the SARS-CoV-2 pandemic, which exacerbated the issue and may serve as a crucial example for the management of future viral pandemics.