Blood cell differential count discretisation modelling to predict survival in adults reporting to the emergency room: a retrospective cohort study.

OBJECTIVES: To assess the survival predictivity of baseline blood cell differential count (BCDC), discretised according to two different methods, in adults visiting an emergency room (ER) for illness or trauma over 1 year. DESIGN: Retrospective cohort study of hospital records. SETTING: Tertiary care public hospital in northern Italy. PARTICIPANTS: 11 052 patients aged >18 years, consecutively admitted to the ER in 1 year, and for whom BCDC collection was indicated by ER medical staff at first presentation. PRIMARY OUTCOME: Survival was the referral outcome for explorative model development. Automated BCDC analysis at baseline assessed haemoglobin, mean cell volume (MCV), red cell distribution width (RDW), platelet distribution width (PDW), platelet haematocrit (PCT), absolute red blood cells, white blood cells, neutrophils, lymphocytes, monocytes, eosinophils, basophils and platelets. Discretisation cut-offs were defined by benchmark and tailored methods. Benchmark cut-offs were stated based on laboratory reference values (Clinical and Laboratory Standards Institute). Tailored cut-offs for linear, sigmoid-shaped and U-shaped distributed variables were discretised by maximally selected rank statistics and by optimal-equal HR, respectively. Explanatory variables (age, gender, ER admission during SARS-CoV2 surges and in-hospital admission) were analysed using Cox multivariable regression. Receiver operating curves were drawn by summing the Cox-significant variables for each method. RESULTS: Of 11 052 patients (median age 67 years, IQR 51-81, 48% female), 59% (n=6489) were discharged and 41% (n=4563) were admitted to the hospital. After a 306-day median follow-up (IQR 208-417 days), 9455 (86%) patients were alive and 1597 (14%) deceased. Increased HRs were associated with age >73 years (HR=4.6, 95% CI=4.0 to 5.2), in-hospital admission (HR=2.2, 95% CI=1.9 to 2.4), ER admission during SARS-CoV2 surges (Wave I: HR=1.7, 95% CI=1.5 to 1.9; Wave II: HR=1.2, 95% CI=1.0 to 1.3). Gender, haemoglobin, MCV, RDW, PDW, neutrophils, lymphocytes and eosinophil counts were significant overall. Benchmark-BCDC model included basophils and platelet count (area under the ROC (AUROC) 0.74). Tailored-BCDC model included monocyte counts and PCT (AUROC 0.79). CONCLUSIONS: Baseline discretised BCDC provides meaningful insight regarding ER patients' survival.

Effectiveness of Streptococcus Pneumoniae Urinary Antigen Testing in Decreasing Mortality of COVID-19 Co-Infected Patients: A Clinical Investigation.

BACKGROUND AND OBJECTIVES: Streptococcus pneumoniae urinary antigen (u-Ag) testing has recently gained attention in the early diagnosis of severe and critical acute respiratory syndrome coronavirus-2/pneumococcal co-infection. The aim of this study is to assess the effectiveness of Streptococcus pneumoniae u-Ag testing in coronavirus disease 2019 (COVID-19) patients, in order to assess whether pneumococcal co-infection is associated with different mortality rate and hospital stay in these patients. MATERIALS AND METHODS: Charts, protocols, mortality, and hospitalization data of a consecutive series of COVID-19 patients admitted to a tertiary hospital in northern Italy during COVID-19 outbreak were retrospectively reviewed. All patients underwent Streptococcus pneumoniae u-Ag testing to detect an underlying pneumococcal co-infection. Covid19+/u-Ag+ and Covid19+/u-Ag- patients were compared in terms of overall survival and length of hospital stay using chi-square test and survival analysis. RESULTS: Out of 575 patients with documented pneumonia, 13% screened positive for the u-Ag test. All u-Ag+ patients underwent treatment with Ceftriaxone and Azithromycin or Levofloxacin. Lopinavir/Ritonavir or Darunavir/Cobicistat were added in 44 patients, and hydroxychloroquine and low-molecular-weight heparin (LMWH) in 47 and 33 patients, respectively. All u-Ag+ patients were hospitalized. Mortality was 15.4% and 25.9% in u-Ag+ and u-Ag- patients, respectively (p = 0.09). Survival analysis showed a better prognosis, albeit not significant, in u-Ag+ patients. Median hospital stay did not differ among groups (10 vs. 9 days, p = 0.71). CONCLUSIONS: The routine use of Streptococcus pneumoniae u-Ag testing helped to better target antibiotic therapy with a final trend of reduction in mortality of u-Ag+ COVID-19 patients having a concomitant pneumococcal infection. Randomized trials on larger cohorts are necessary in order to draw definitive conclusion.

Perioperative lymphocytopenia predicts mortality and severe complications after intestinal surgery.

BACKGROUND: Patterns of white blood cells differential count with low lymphocyte number have been associated with poor outcome following sepsis, burns and trauma. Lymphocytopenia, measured preoperatively or in response to surgical stress, may affect complications after bowel resection. METHODS: Clinical characteristics and white blood cells differential count values, measured both pre- and post-operatively of a cohort of patients submitted to intestinal resection and anastomosis from June 2014 to June 2017 in our General Surgery Division, were retrospectively analyzed. Multivariate logistic regression was used to determine the dependence of mortality and postoperative complications from the clinical characteristics of patients and white blood cells differential count values. RESULTS: A total of 301 consecutive patients were studied; 165 (54.8%) were male; mean age was 70 years. Overall, the rate of in-hospital 30-day mortality was 4%. Post-operative morbidity was observed in 124 (41.2%). On multivariate analysis, age adjusted Charlson Comorbidity Index, low preoperatively lymphocyte count, high preoperative monocyte count, high postoperative neutrophil count and anastomotic leak were independently associated with increased in-hospital mortality. Preoperative lymphocytopenia and rectal resection were independently associated with high morbidity rate, while low postoperative lymphocyte count was associated with an increased risk of anastomotic leak. CONCLUSIONS: Perioperative lymphocytopenia is associated with 30-days mortality, severe complications and anastomotic leak after bowel resection surgery. These routinely available laboratory data could help to identify patients at high-risk for developing complications.

Clinical and molecular features and therapeutic perspectives of spinal muscular atrophy with respiratory distress type 1.

Spinal muscular atrophy with respiratory distress (SMARD1) is an autosomal recessive neuromuscular disease caused by mutations in the IGHMBP2 gene, encoding the immunoglobulin µ-binding protein 2, leading to motor neuron degeneration. It is a rare and fatal disease with an early onset in infancy in the majority of the cases. The main clinical features are muscular atrophy and diaphragmatic palsy, which requires prompt and permanent supportive ventilation. The human disease is recapitulated in the neuromuscular degeneration (nmd) mouse. No effective treatment is available yet, but novel therapeutical approaches tested on the nmd mouse, such as the use of neurotrophic factors and stem cell therapy, have shown positive effects. Gene therapy demonstrated effectiveness in SMA, being now at the stage of clinical trial in patients and therefore representing a possible treatment for SMARD1 as well. The significant advancement in understanding of both SMARD1 clinical spectrum and molecular mechanisms makes ground for a rapid translation of pre-clinical therapeutic strategies in humans.

The wide spectrum of clinical phenotypes of spinal muscular atrophy with respiratory distress type 1: a systematic review.

Spinal muscular atrophy with respiratory distress type 1 (SMARD1), also known as distal spinal-muscular atrophy 1 (DSMA10), is an autosomal recessive type of spinal muscular atrophy that is related to mutations in the IGHMBP2 gene, which encodes for the immunoglobulin µ-binding protein. SMARD1 patients usually present low birth weight, diaphragmatic palsy and distal muscular atrophy. Clinical features are still the most important factor that leads to the diagnosis of SMARD1, due to the fact that IGHMBP2 gene mutations are characterized by significant phenotypic heterogeneity. In the present review, we will systematically discuss the genetic, clinical and neuropathological features of SMARD1 in order to provide a complete overview of SMARD1 variable clinical presentations and of the most important diagnostic tools which can be used to identify and properly manage affected individuals. This background is crucial also in the perspective of the development of novel therapeutic strategies for this still orphan disorder.