Corrigendum: Definition of the immune parameters related to COVID-19 severity.

[This corrects the article DOI: 10.3389/fimmu.2022.850846.].

Definition of the Immune Parameters Related to COVID-19 Severity.

A relevant portion of patients with disease caused by the severe acute respiratory syndrome coronavirus 2 (COVID-19) experience negative outcome, and several laboratory tests have been proposed to predict disease severity. Among others, dramatic changes in peripheral blood cells have been described. We developed and validated a laboratory score solely based on blood cell parameters to predict survival in hospitalized COVID-19 patients. We retrospectively analyzed 1,619 blood cell count from 226 consecutively hospitalized COVID-19 patients to select parameters for inclusion in a laboratory score predicting severity of disease and survival. The score was derived from lymphocyte- and granulocyte-associated parameters and validated on a separate cohort of 140 consecutive COVID-19 patients. Using ROC curve analysis, a best cutoff for score of 30.6 was derived, which was associated to an overall 82.0% sensitivity (95% CI: 78-84) and 82.5% specificity (95% CI: 80-84) for detecting outcome. The scoring trend effectively separated survivor and non-survivor groups, starting 2 weeks before the end of the hospitalization period. Patients' score time points were also classified into mild, moderate, severe, and critical according to the symptomatic oxygen therapy administered. Fluctuations of the score should be recorded to highlight a favorable or unfortunate trend of the disease. The predictive score was found to reflect and anticipate the disease gravity, defined by the type of the oxygen support used, giving a proof of its clinical relevance. It offers a fast and reliable tool for supporting clinical decisions and, most important, triage in terms of not only prioritization but also allocation of limited medical resources, especially in the period when therapies are still symptomatic and many are under development. In fact, a prolonged and progressive increase of the score can suggest impaired chances of survival and/or an urgent need for intensive care unit admission.

Prospective validation of an automatic reflex test for identifying spurious elevations of mean corpuscular haemoglobin concentration due to the presence of cold agglutinins.

Cold agglutinins (CA) in blood may cause false reduction in red blood cell (RBC) count and false increases of RBC indices, such as mean corpuscular haemoglobin concentration (MCHC). Preheating at 37 °C for 2 h is used to overcome this problem. We previously proposed the integration in a total laboratory automation (TLA) setting of a customized reflex test in the presence of MCHC >385 g/L for identifying spurious elevations due to CA. Here, we prospectively evaluate this approach after its introduction in our clinical practice. We evaluated 73 consecutive blood samples from 34 adult patients. Short heating (<1 min) at 41 °C using the reticulocyte channel of Sysmex XN-9000 platform was followed by calculation of optical parameters by the instrument software to ensure quick solution of the CA-dependent problems. After the reflex test in the reticulocyte channel, MCHC dropped below 385 g/L in 50 samples. The reflex markedly corrected the RBC number in eight samples obtained from three patients with CA condition. Two samples from markedly anaemic patients had low blood haemoglobin and RBC count before and after reflex. The remaining 13 samples were obtained from 12 patients, most of whom were on antiretroviral therapy or suffered severe electrolyte disorders, known conditions associated to increased MCHC. The implementation of the proposed automatic reflex by reticulocyte channel on the Sysmex XN-9000 platform in a TLA setting may solve the problem of spuriously high MCHC due to RBC agglutination for CA in a few minutes instead of waiting hours for sample preheating.

Searching for a role of procalcitonin determination in COVID-19: a study on a selected cohort of hospitalized patients.

Objectives: Procalcitonin (PCT) has been proposed for differentiating viral vs. bacterial infections. In COVID-19, some preliminary results have shown that PCT testing could act as a predictor of bacterial co-infection and be a useful marker for assessment of disease severity. Methods: We studied 83 COVID-19 hospitalized patients in whom PCT was specifically ordered by attending physicians. PCT results were evaluated according to the ability to accurately predict bacterial co-infections and death in comparison with other known biomarkers of infection and with major laboratory predictors of COVID-19 severity. Results: Thirty-three (39.8%) patients suffered an in-hospital bacterial co-infection and 44 (53.0%) patients died. In predicting bacterial co-infection, PCT showed a relatively low accuracy (area under receiver-operating characteristic [ROC] curve [AUC]: 0.757; 95% confidence interval [CI]: 0.651-0.845), with a strength for detecting the outcome not significantly different from that of white blood cell count and C-reactive protein (CRP). In predicting patient death, PCT showed an AUC of 0.815 (CI: 0.714-0.892), not better than those of other more common laboratory tests, such as blood lymphocyte percentage (AUC: 0.874, p=0.19), serum lactate dehydrogenase (AUC: 0.860, p=0.47), blood neutrophil count (AUC: 0.845, p=0.59), and serum albumin (AUC: 0.839, p=0.73). Conclusions: Procalcitonin (PCT) testing, even when appropriately ordered, did not provide a significant added value in COVID-19 patients when compared with more consolidated biomarkers of infection and poor clinical outcome. The major application of PCT in COVID-19 is its ability, associated with a negative predictive value >90%, to exclude a bacterial co-infection when a rule-out cut-off (<0.25 µg/L) is applied.

Is a pharmacogenomic panel useful to estimate the risk of oxaliplatin-related neurotoxicity in colorectal cancer patients?

Oxaliplatin-induced peripheral neurotoxicity (OXPN) is a dose-limiting toxicity in colorectal cancer (CRC) patients. Single nucleotide polymorphisms (SNPs) in genes involved in drug transport may lead to higher intracellular oxaliplatin accumulation in the dorsal root ganglia and thus increased risk of OXPN. In this study, a panel of 5 SNPs, namely ABCC2 (-24C > T/rs717620 and c.4544 G > A/rs8187710), ABCG2 (c.421 C > A/rs2231142), ABCB1 (c.3435 C > T/rs1045642) and SLC31A1 (c.-36 + 2451 T > G/rs10981694), was evaluated to assess their association with grade 2-3 OXPN in metastatic CRC patients. SNPs were considered according to a dominant model (heterozygous + homozygous). Germline DNA was available from 120 patients who received oxaliplatin between 2010 and 2016. An external cohort of 80 patients was used to validate our results. At the univariable logistic analyses, there were no significant associations between SNPs and incidence of OXPN. Taking into account the strength of observed association between OXPN and the SNPs, a clinical risk score was developed as linear predictor from a multivariable logistic model including all the SNPs together. This score was significantly associated with grade 2-3 OXPN (p = 0.036), but the external calibration was not satisfactory due to relevant discrepancies between the two series. Our data suggest that the concomitant evaluation of multiple SNPs in oxaliplatin transporters is an exploratory strategy that may deserve further investigation for treatment customization in CRC patients.