Background Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), known to be the causative agent of COVID‐19, has led to a worldwide pandemic. At presentation, individual clinical laboratory blood values, such as lymphocyte counts or C‐reactive protein (CRP) levels, may be abnormal and associated with disease severity. However, combinatorial interpretation of these laboratory blood values, in the context of COVID‐19, remains a challenge. Methods To assess the significance of multiple laboratory blood values in patients with SARS‐CoV‐2 and develop a COVID‐19 predictive equation, we conducted a literature search using PubMed to seek articles that included defined laboratory data points along with clinical disease progression. We identified 9846 papers, selecting primary studies with at least 20 patients for univariate analysis to identify clinical variables predicting nonsevere and severe COVID‐19 cases. Multiple regression analysis was performed on a training set of patient studies to generate severity predictor equations, and subsequently tested on a validation cohort of 151 patients who had a median duration of observation of 14 days. Results Two COVID‐19 predictive equations were generated: one using four variables (CRP, D‐dimer levels, lymphocyte count, and neutrophil count), and another using three variables (CRP, lymphocyte count, and neutrophil count). In adult and pediatric populations, the predictive equations exhibited high specificity, sensitivity, positive predictive values, and negative predictive values. Conclusion Using the generated equations, the outcomes of COVID‐19 patients can be predicted using commonly obtained clinical laboratory data. These predictive equations may inform future studies evaluating the long‐term follow‐up of COVID‐19 patients.

Haemophagocytic lymphohistiocytosis (HLH) is a complex, often under‐recognised hyperinflammatory immune dysregulation syndrome arising in a diverse range of clinical scenarios and conditions. The accurate and timely diagnosis of HLH is crucial for patient survival, and usually requires a high level of clinical suspicion. The histological corollary to clinical HLH—haemophagocytosis—is neither necessary nor sufficient for the diagnosis of HLH, as it may be seen in a variety of reactive conditions and may be absent in true HLH. Nevertheless, the finding of haemophagocytosis in specific clinical situations should prompt consideration of HLH and further testing to exclude the condition. Although haemophagocytosis is traditionally described in bone marrow, identification of it in other tissues, including lymphoid, splenic, liver or neural tissue, can contribute importantly to the overall recognition of HLH. In this review we discuss the underlying pathophysiology and aetiologies of HLH, and the morphological aspects of haemophagocytosis and its associated histological findings in different tissues, and give a brief overview of diagnostic criteria and clinical evaluation.

Context.— Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare hematologic malignancy with poor outcome. BPDCN diagnostically overlaps with entities such as acute myeloid leukemia, histiocytic/dendritic cell neoplasms, and natural killer/T-cell lymphomas. Unfortunately, large, patient-centered studies that comprehensively analyze clinical, pathologic, and other diagnostic features are lacking. As such, there is an incomplete understanding of this disease. Objective.— To better characterize BPDCN, a multicenter working group consisting of hematopathologists and dermatopathologists gathered in person and remotely to review the current understanding of BPDCN, discuss specific issues regarding the diagnosis and differential diagnosis, and perform a retrospective analysis of the literature. Data Sources.— The working group curated a database of published BPDCN patient cases (BPDCN Network literature database) following careful discussion and review, 361 articles were identified, comprising a total of 1513 individually annotated patients. Conclusions.— By conducting an in-depth analysis, not only did we confirm known findings such as frequent skin involvement (84% of patients; 861 of 1028) and a male predominance among older patients (>60 years old; male to female ratio of 3.5:1; 617:177), but we also identified a number of underrecognized features, such as significant central nervous system involvement (38% of cases; 24 of 64), and a more equal male to female prevalence among patients younger than 40 years (male to female ratio of 1.25:1; 167:134). Furthermore, we were able to accurately summarize the immunophenotypic, cytogenetic, and molecular features of this disease. BPDCN is a complex disease with distinct morphologic, immunophenotypic, and molecular findings. Continual updates of the literature database generated here and further analysis can allow for prospective refinement of our understanding of this orphan disease.

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