Disseminated intravascular coagulation score evolution in 48 h predicts early death in acute promyelocytic leukemia patients.

INTRODUCTION: Early death (ED) is the unsolved issue of acute promyelocytic leukemia (APL). The disseminated intravascular coagulation (DIC) score has been proposed as a marker of bleeding and death in APL; whether its temporal evolution predicts outcomes in APL is unknown. We evaluated whether an increasing score 48 h after diagnosis associates with ED. METHODS: Retrospective, single-center study, including patients with newly diagnosed APL between 2000 and 2023, treated with all-transretinoic acid (ATRA) plus anthracycline or arsenic trioxide (ATO). "DIC score worsening" was defined as ≥1 point increase in the score after 48 h, and ED as death within 30 days of diagnosis. RESULTS: Eighty-six patients were included, with median age of 46 years (17-82). ED patients (26.7%) more frequently had age >60 years and worsening DIC score after 48 h. These were also the only predictors of ED identified in both univariate and multivariate (OR 4.18, p = .011; OR 7.8, p = .005, respectively) logistic regression analysis. CONCLUSION: This is the first study on DIC score evolution in APL-a worsening DIC score 48 h after diagnosis is a strong independent predictive factor of ED. We propose a reduction of the DIC score from diagnosis as a new treatment goal in APL care.

Big data and machine learning to tackle diabetes management.

BACKGROUND: Type 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real-world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on similarity measures, poses a promising tool to unravel Diabetes complexity. METHODS: In this review, we scrutinize and integrate the results obtained in most of the works up to date on cluster analysis and T2D. RESULTS: To correctly stratify subjects and to differentiate and individualize a preventive or therapeutic approach to Diabetes management, cluster analysis should be informed with more parameters than the traditional ones, such as etiological factors, pathophysiological mechanisms, other dysmetabolic co-morbidities, and biochemical factors, that is the millieu. Ultimately, the above-mentioned factors may impact on Diabetes and its complications. Lastly, we propose another theoretical model, which we named the Integrative Model. We differentiate three types of components: etiological factors, mechanisms and millieu. Each component encompasses several factors to be projected in separate 2D planes allowing an holistic interpretation of the individual pathology. CONCLUSION: Fully profiling the individuals, considering genomic and environmental factors, and exposure time, will allow the drive to precision medicine and prevention of complications.

Leveraging the future of diagnosis and management of diabetes: From old indexes to new technologies.

BACKGROUND: Diabetes is a heterogeneous and multifactorial disease. However, glycemia and glycated hemoglobin have been the focus of diabetes diagnosis and management for the last decades. As diabetes management goes far beyond glucose control, it has become clear that assessment of other biochemical parameters gives a much wider view of the metabolic state of each individual, enabling a precision medicine approach. METHODS: In this review, we summarize and discuss indexes that have been used in epidemiological studies and in the clinical practice. RESULTS: Indexes of insulin secretion, sensitivity/resistance and metabolism have been developed and validated over the years to account also with insulin, C-peptide, triglycerides or even anthropometric measures. Nevertheless, each one has their own objective and consequently, advantages and disadvantages for specific cases. Thus, we discuss how new technologies, namely new sensors but also new softwares/applications, can improve the diagnosis and management of diabetes, both for healthcare professionals but also for caretakers and, importantly, to promote the empowerment of people living with diabetes. CONCLUSIONS: In long-term, the solution for a better diabetes management would be a platform that allows to integrate all sorts of relevant information for the person with diabetes and for the healthcare practitioners, namely glucose, insulin and C-peptide or, in case of need, other parameters/indexes at home, sometimes more than once a day. This solution would allow a better and simpler disease management, more adequate therapeutics thereby improving patients' quality of life and reducing associated costs.

Predictors of very early death in acute promyelocytic leukemia: a retrospective real-world cohort study.

Early death (ED) is still the major obstacle to cure in acute promyelocytic leukemia (APL). Most studies focus on 30-day ED; however, little is known on predictors of death before starting APL treatment (very early death - VED) and on predictors of 7-day ED, the period with most deaths due to thrombohemorrhagic diathesis. We hypothesized whether the severity of the coagulopathy of APL could predict VED and 7-day ED. We also aimed to evaluate other characteristics associated with these outcomes. We undertook a retrospective, single-center observational study including newly diagnosed APL patients admitted to our institution between January 2000 and November 2022. Baseline demographical, clinical, and laboratorial data were collected. Statistical analysis was performed using Stata. One hundred four patients were included. The VED rate was 4.8%. A DIC Score ≥ 7 (p = 0.045), serum creatinine > 1.5 mg/dL (p < 0.001%), a DIC Score ≥ 6 within 24 h (p = 0.009), and mechanical ventilation (p < 0.001) were associated with VED. The 7-day ED rate was 12.5%. High-risk (p = 0.007) and hypogranular APL (p = 0.029), DIC Score at diagnosis (p = 0.047), DIC Score ≥ 7 (p = 0.043), DIC Score ≥ 6 within 24 h (p = 0.025), PT prolongation > 6 s (p = 0.002), and creatinine > 1.5 mg/dL (p = 0.004) were associated with 7-day ED. However, only elevated creatinine emerged as an independent predictor of 7-day ED (OR 21.4; p = 0.008). Our study shows that in patients with APL, an elevated creatinine at diagnosis strongly predicts for 7-day ED. A DIC Score ≥ 7 and a Score that remains ≥ 6 within 24 h and a serum creatinine > 1.5 mg/dL significantly associated with VED.

Addressing influenza's underestimated burden - Iberian experts call to action.

Having a proper understanding of the impact of influenza is a fundamental step towards improved preventive action. This paper reviews findings from the Burden of Acute Respiratory Infections study on the burden of influenza in Iberia, and its potential underestimation, and proposes specific measures to lessen influenza's impact.

Breaking Barriers With Basal Insulin Biosimilars in Type 2 Diabetes.

Despite increases in the availability and effectiveness of other therapies, insulin remains an essential treatment for approximately 30 million people with type 2 diabetes worldwide. The development of biosimilars has created the potential for significant health care cost savings and may lead to greater access to basal insulin for vast populations. In this review, we discuss evidence demonstrating equipoise between basal insulin biosimilars and the patented analogs they may replace.

Prediabetes blunts DPP4 genetic control of postprandial glycaemia and insulin secretion.

AIMS/HYPOTHESIS: Imbalances in glucose metabolism are hallmarks of clinically silent prediabetes (defined as impaired fasting glucose and/or impaired glucose tolerance) representing dysmetabolism trajectories leading to type 2 diabetes. CD26/dipeptidyl peptidase 4 (DPP4) is a clinically proven molecular target of diabetes-controlling drugs but the DPP4 gene control of dysglycaemia is not proven. METHODS: We dissected the genetic control of post-OGTT and insulin release responses by the DPP4 gene in a Portuguese population-based cohort of mainly European ancestry that comprised individuals with normoglycaemia and prediabetes, and in mouse experimental models of Dpp4 deficiency and hyperenergetic diet. RESULTS: In individuals with normoglycaemia, DPP4 single-nucleotide variants governed glycaemic excursions (rs4664446, p=1.63x10-7) and C-peptide release responses (rs2300757, p=6.86x10-5) upon OGTT. Association with blood glucose levels was stronger at 30 min OGTT, but a higher association with the genetic control of insulin secretion was detected in later phases of the post-OGTT response, suggesting that the DPP4 gene directly senses glucose challenges. Accordingly, in mice fed a normal chow diet but not a high-fat diet, we found that, under OGTT, expression of Dpp4 is strongly downregulated at 30 min in the mouse liver. Strikingly, no genetic association was found in prediabetic individuals, indicating that post-OGTT control by DPP4 is abrogated in prediabetes. Furthermore, Dpp4 KO mice provided concordant evidence that Dpp4 modulates post-OGTT C-peptide release in normoglycaemic but not dysmetabolic states. CONCLUSIONS/INTERPRETATION: These results showed the DPP4 gene as a strong determinant of post-OGTT levels via glucose-sensing mechanisms that are abrogated in prediabetes. We propose that impairments in DPP4 control of post-OGTT insulin responses are part of molecular mechanisms underlying early metabolic disturbances associated with type 2 diabetes.

Fibrosis nonalcoholic steatohepatitis index validation and applicability considering glycaemic severity and T2D duration.

Nonalcoholic fatty liver disease (NAFLD) diagnosis without using invasive methods is extremely challenging, highlighting the need for simple indexes for this end. Recently, the fibrotic nonalcoholic steatohepatitis index (FNI) was developed and proposed as an affordable non-invasive score calculated with aspartate aminotransferase, high-density lipoprotein cholesterol and haemoglobin A1c. Herein, and given the link between NAFLD and diabetes, we aimed at validating FNI in a population with type 2 diabetes (T2D), also considering diabetes duration and glycaemic severity. The performance of FNI was higher than FIB-4 (AUROC = 0.89 vs 0.67, respectively). Additionally, using 0.1 as the rule-out cut-off of FNI, the sensitivity was 0.99 and the positive predictive value was 0.19. Both duration of diabetes and A1c did not impact FNI performance. In sum, FNI is a valuable score for predicting fibrotic nonalcoholic steatohepatitis not only for primary care units but also for diabetes specialized care.

Excess hospitalizations and mortality associated with seasonal influenza in Portugal, 2008-2018.

BACKGROUND: Influenza can have a domino effect, triggering severe conditions and leading to hospitalization or even death. Since influenza testing is not routinely performed, statistical modeling techniques are increasingly being used to estimate annual hospitalizations and deaths associated with influenza, to overcome the known underestimation from registers coded with influenza-specific diagnosis. The aim of this study was to estimate the clinical and economic burden of severe influenza in Portugal. METHODS: The study comprised ten epidemic seasons (2008/09-2017/18) and used two approaches: (i) a direct method of estimating the seasonal influenza hospitalization incidence, based on the number of National Health Service hospitalizations with influenza-specific International Classification of Diseases (ICD) codes (ICD-9: 487-488; ICD-10: J09-J11), as primary or secondary diagnosis; (ii) an indirect method of estimating excess hospitalizations and deaths using broader groups of ICD codes in time-series models, computed for six age groups and four groups of diagnoses: pneumonia or influenza (ICD-9: 480-488, 517.1; ICD-10: J09-J18), respiratory (ICD-9: 460-519; ICD-10: J00-J99), respiratory or cardiovascular (R&C, ICD-9: 390-459, 460-519; ICD-10: I00-I99, J00-J99), and all-cause. Means are reported excluding the H1N1pdm09 pandemic (2009/10). RESULTS: The mean number of hospitalizations coded as due to influenza per season was 1,207, resulting in 11.6 cases per 100,000 people. The mean direct annual cost of these hospitalizations was €3.9 million, of which 78.6% was generated by patients with comorbidities. Mean annual influenza-associated R&C hospitalizations were estimated at 5356 (min: 456; max: 8776), corresponding to 51.5 cases per 100,000 (95% CI: 40.9-62.0) for all age groups and 199.6 (95% CI: 163.9-235.8) for the population aged ≥ 65 years. The mean direct annual cost of the estimated excess R&C hospitalizations was €15.2 million for all age groups and €12.8 million for the population aged ≥ 65 years. Mean annual influenza-associated all-cause deaths per 100,000 people were estimated at 22.7 for all age groups. CONCLUSIONS: The study findings suggest that there is an under-detection of influenza in the Portuguese population. A high burden of severe influenza remains to be addressed, not only in the elderly population but also in younger people.

Effectiveness of exercise training on cancer-related fatigue in colorectal cancer survivors: a systematic review and meta-analysis of randomized controlled trials.

PURPOSE: To investigate the effects of exercise training on cancer-related fatigue (CRF) in colorectal cancer survivors. METHODS: Randomized controlled trials published between 1 January 2010 and 19 October 2020, selected through online search conducted in PubMed, Scopus, Web of Science, SPORTDiscus and PEDro databases, were included. Eligible trials compared the effect of exercise training interventions, versus non-exercise controls on CRF, in colorectal cancer survivors, during or after treatment. The methodological quality of individual studies was analysed using the Physiotherapy Evidence Database (PEDro) scale. Standardized mean differences (SMD) that were pooled using random-effects models were included as the effect size. In addition, 95% prediction intervals (PI) were calculated. RESULTS: Six trials involving 330 colorectal cancer patients met the inclusion criteria and presented reasonable to good methodological quality. An overall small-to-moderate effect of exercise training on CRF was found (SMD = - 0.29: 95% CI: [- 0.53; - 0.06]; p = 0.01; PI: [- 0.63; 0.04]; low-quality evidence). Subgroup analysis revealed moderate effects of exercise interventions performed during chemotherapy (SMD = - 0.63; 95% CI: [- 1.06; - 0.21]; p = 0.003) and small, non-significant effects, when exercise training was performed after cancer treatment (SMD = - 0.14; 95% CI: [- 0.43; 0.14]; p = 0.32). Steady improvements were achieved when a combination of aerobic plus resistance exercise was used, in interventions lasting 12 to 24 weeks. CONCLUSION: Exercise training could be regarded as a supportive therapy for the clinical management of CRF in colorectal cancer patients undergoing chemotherapy, but further studies are necessary to clarify the effects of exercise interventions on CRF after cancer treatment.