The latest medical research on Haematology

Outcomes of patients with hematologic malignancies requiring ICU care for critical illness are suboptimal and represent a major unmet need in this population. We present data from a dedicated haematology oncology setting including 63 patients with a median age of 60 years admitted to the ICU for critical illness with organ dysfunction. The most common underlying diagnosis was multiple myeloma (30%) followed by acute myeloid leukemia (25%). Chemotherapy had been initiated for 90.7% patients before ICU admission. The most common indication for ICU care was respiratory failure (36.5%) and shock (17.5%) patients. Evidence of sepsis was present in 44 (69%) patients. After shifting to ICU, 32 (50%) patients required inotropic support and 18 (28%) required invasive mechanical ventilation. After a median of 5 days of ICU stay, 43.1% patients had died, most commonly due to multiorgan dysfunction. Risk of mortality was higher with involvement of more than two major organs (p = .001), underlying AML (p = .001), need for mechanical ventilation (p = .001) and high inotrope usage (p = .004). Neutropenia was not associated with mortality. Our study indicates high rates of short term mortality and defines prognostic factors which can be used to prognosticate patients and establish goals of care.

The online version contains supplementary material available at 10.1007/s12288-024-01757-3.

Despite the negative implications on women's health, pregnancy, and fetal outcomes, population-based studies on hematological indices among reproductive age women in India have received inadequate attention. This study aimed to generate normative ranges for various hematological parameters among these women. After ethics approval, apparently healthy (n = 5884) women (aged 18-40 years) were recruited from six eco-geographic zones of India. After various exclusions (n = 5412), including women having anemia, data of clinically, and biochemically healthy women (n = 472) was analysed to generate centiles (2.5 and 97.5th) and correlations. The mean age and mean BMI of women was 29.3 ± 6.5 years and 23.25 ± 3.26 kg/m2 with BP of 112.26 ± 8.9/74.04 ± 6.7 mmHg. The reference intervals for hemoglobin (12-15.1 gm/dl), RBC (3.68-5.55 millions/μl), WBC (4.1-11.26*109/L), platelet count (1.32-4.42*105/μl), and erythrocyte sedimentation rate (4.35-41.65 mm/hr) were different from currently used reference values (p < 0.05). However, these haematological indices did not vary among various age categories, geographical zones, ethnicities and rural or urban origins. Pearson's correlation revealed a statistically significant association between ESR, WBC, monocytes, and platelets with homeostasis model assessment of insulin resistance (HOMA-IR). Women with HOMA-IR > 2 displayed a statistically significant differences in parameters like MCV, ESR, eosinophil and platelet counts as compared to the women with HOMA-IR < 2. This study provides a pioneering reference data of hematological indices among women of reproductive age in India. Despite the small sample size results can be extrapolated to the national population given the representative sampling of various geographical zones. This may pave way for future comprehensive large-scale studies on the subject.

The online version contains supplementary material available at 10.1007/s12288-023-01714-6.

This study aimed to evaluate the diagnostic efficacy of the L score, a novel scoring system, in distinguishing between ABO hemolytic disease of the newborn (ABO-HDN) and non-hemolytic disease of newborn hyperbilirubinemia (NHDNH).

A cross-sectional prospective study was conducted to assess the effectiveness of the L score in distinguishing between ABO-HDN (n = 118) and NHDNH (n = 213). Blood routine examination results were collected, and relevant statistical analyses were performed to identify clinically significant parameters. Binary logistic regression analysis was employed to assess the relationship between the L score and the development of these conditions, considering relevant variables.

Our study identified the red blood cell count, mean corpuscular volume, red blood cell distribution width-coefficient of variation, and red blood cell distribution width-standard deviation as independent risk factors for distinguishing ABO-HDN from other high bilirubinemia conditions (P < 0.001). The L score demonstrated superior predictive performance for ABO-HDN, exhibiting an area under the curve (AUC) of 0.746, with an optimal cutoff value of - 3.0816. The RBC-L score exhibited superior predictive performance (z: 5.596, P < 0.0001) compared to the single-factor RBC indicator, indicating its efficacy in accurately identifying the desired outcome.

The L score represents a valuable tool for predicting neonatal hyperbilirubinemia and hemolytic disease, facilitating differentiation, and guiding early intervention for improved outcomes. Further research is warranted to validate and expand the applicability of the L score in clinical practice.

The online version contains supplementary material available at 10.1007/s12288-023-01723-5.