Neutrophil-to-Lymphocyte Ratio as an Alternative Marker of Neonatal Sepsis in Developing Countries

Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age

Variations in immune-cell fractions can confound or hamper interpretation of DNAm-based biomarkers in blood. Although cell-type deconvolution can address this challenge for cord and adult blood, currently there is no method applicable to blood from other age groups, including infants and children. Here we construct and extensively validate a DNAm reference panel, called UniLIFE, for 19 immune cell-types, applicable to blood tissue of any age. We use UniLIFE to delineate the dynamics of immune-cell fractions from birth to old age, and to infer disease associated immune cell fraction variations in newborns, infants, children and adults. In a prospective longitudinal study of type-1 diabetes in infants and children, UniLIFE identifies differentially methylated positions that precede type-1 diabetes diagnosis and that map to diabetes related signaling pathways. In summary, UniLIFE will improve the identification and interpretation of blood-based DNAm biomarkers for any age group, but specially for longitudinal studies that include infants and children. The UniLIFE panel and algorithms to estimate cell-type fractions are available from our EpiDISH Bioconductor R-package: https://bioconductor.org/packages/release/bioc/html/EpiDISH.html.

Prenatal vitamin D deficiency exposure leads to long-term changes in immune cell proportions

Vitamin D deficiency is a common deficiency worldwide, particularly among women of reproductive age. During pregnancy, it increases the risk of immune-related diseases in offspring later in life. However, how the body remembers exposure to an adverse environment during development is poorly understood. Herein, we explore the effects of prenatal vitamin D deficiency on immune cell proportions in offspring using vitamin D deficient mice established by dietary manipulation. We found that prenatal vitamin D deficiency alters immune cell proportions in offspring by changing the transcriptional properties of genes downstream of vitamin D receptor signaling in hematopoietic stem and progenitor cells of both the fetus and adults. Moreover, further investigations of the associations between maternal vitamin D levels and cord blood immune cell profiles from 75 healthy pregnant women and their term offspring also confirm that maternal vitamin D levels in the second trimester significantly affect immune cell proportions in the offspring. These findings imply that the differentiation properties of hematopoiesis act as long-term memories of prenatal vitamin D deficiency exposure in later life.

Role of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in diagnosing neonatal sepsis

Clinical manifestations of neonatal sepsis are often unspecified. Therefore, sepsis biomarkers could be used to support diagnosis while waiting for blood culture results, such as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). The aim of this study was to evaluate the role of NLR and PLR as diagnostic markers in neonatal sepsis. A cross-sectional study was conducted at Haji Adam Malik General Hospital, Medan, Indonesia, from April to October 2019. This study included neonates aged less than 28 days, diagnosed with suspected sepsis, and had no previous history of antibiotics administration. Patients underwent clinical assessment, laboratory examination, and blood culture. Patients were grouped into sepsis and non-sepsis based on the blood culture results. The median hematological examination and the range of NLR and PLR in both the sepsis and non-sepsis groups were subjected to analysis using the Mann-Whitney U test to assess differences. NLR and PLR optimal cut-off values were determined using a receiver operator curve (ROC) with a confidence interval of 95%. A total of 137 neonates were enrolled, of which 49 were classified as sepsis and 89 as non-sepsis based on blood culture results. The optimal cutoff values for NLR and PLR were 2.75 and 11.73. Using those cutoff values, NLR and PLR could predict neonatal sepsis with sensitivities of 52.1% and 47.9%, specificities of 50.6% and 47.2%, area under the curve (AUC) of 0.46 and 0.47, with p=0.525 and p=0.662, respectively. Further investigation is warranted to refine the NLR and PLR utility and enhance diagnostic accuracy in clinical practices.

Diagnostic significance of complete blood cell count and hemogram-derived markers for neonatal sepsis at Southwest Public Hospitals, Ethiopia

BACKGROUND

Neonatal sepsis is defined as an infection-related condition characterized by signs and symptoms of bacteremia within the first month of life. It is the leading cause of mortality and morbidity among newborns. While several studies have been conducted in other parts of world to assess the usefulness of complete blood count parameters and hemogram-derived markers as early screening tools for neonatal sepsis, the associations between sepsis and its complications with these blood parameters are still being investigated in our setting and are not yet part of routine practice.

AIM

To evaluate the diagnostic significance of complete blood cell count hemogram-derived novel markers for neonatal sepsis among neonates attending public hospitals in the southwest region of Oromia, Ethiopia, through a case control study.

METHODS

A case control study was conducted from October 2021 to October 2023 Sociodemographic, clinical history, and laboratory test results data were collected using structured questionnaires. The collected data were entered into Epi-data 3.1 version and exported to SPSS-25 for analysis. Chi-square, independent sample t-test, and receiver operator characteristics curve of curve were used for analysis. A P-value of less than 0.05 was considered statistically significant.

RESULTS

In this study, significant increases were observed in the following values in the case group compared to the control group: In white blood cell (WBC) count, neutrophils, monocyte, mean platelet volume (MPV), neutrophils to lymphocyte ratio, monocyte to lymphocyte ratio (MLR), red blood cell width to platelet count ratio (RPR), red blood width coefficient variation, MPV to RPR, and platelet to lymphocyte ratio. Regarding MLR, a cut-off value of ≥ 0.26 was found, with a sensitivity of 68%, a specificity of 95%, a positive predictive value (PPV) of 93.2%, and a negative predictive value (NPV) of 74.8%. The area under the curve (AUC) was 0.828 (P < 0.001). For WBC, a cut-off value of ≥ 11.42 was identified, with a sensitivity of 55%, a specificity of 89%, a PPV of 83.3%, and a NPV of 66.4%. The AUC was 0.81 (P < 0.001). Neutrophils had a sensitivity of 67%, a specificity of 81%, a PPV of 77.9%, and a NPV of 71.1%. The AUC was 0.801, with a cut-off value of ≥ 6.76 (P = 0.001). These results indicate that they were excellent predictors of neonatal sepsis diagnosis.

CONCLUSION

The findings of our study suggest that certain hematological parameters and hemogram-derived markers may have a potential role in the diagnosis of neonatal sepsis.

Predictive Role of NLR, dNLR, PLR, NLPR, and Other Laboratory Markers in Diagnosing SIRS in Premature Newborns

BACKGROUND

Premature newborns are at a significant risk for Systemic Inflammatory Response Syndrome SIRS, a condition associated with high morbidity and mortality. This study aimed to evaluate the predictive and diagnostic capability of laboratory markers like Neutrophil to Lymphocyte Ratio (NLR), derived Neutrophil to Lymphocyte Ratio (dNLR), Platelet-to-Lymphocyte Ratio (PLR), and Neutrophil-to-Lymphocyte-to-Platelet Ratio (NLPR) in diagnosing SIRS in premature newborns.

METHODS

Premature newborns with and without SIRS were evaluated in a prospective design during a one-year period. Among 136 newborns, early and 72 h post-birth analyses were performed.

RESULTS

At 24 h, NLR's cutoff value was 8.69, yielding sensitivity and specificity rates of 52.77% and 83.47% (p = 0.0429), respectively. The dNLR showed a cutoff of 5.61, with corresponding rates of 63.27% and 84.15% (p = 0.0011), PLR had a cutoff of 408.75, with rates of 51.89% and 80.22% (p = 0.1026), and NLPR displayed a cutoff of 0.24, with rates of 75.85% and 86.70% (p = 0.0002). At 72 h, notable sensitivity and specificity improvements were observed, particularly with NLPR having a cutoff of 0.17, showing sensitivity of 77.74% and specificity of 95.18% (p < 0.0001). NLR above the cutoff indicated a 33% increase in SIRS risk, with a hazard ratio (HR)of 1.33. The dNLR was associated with a twofold increase in risk (HR 2.04). NLPR demonstrated a significant, over threefold increase in SIRS risk (HR 3.56), underscoring its strong predictive and diagnostic value for SIRS development.

CONCLUSION

Integrating these findings into clinical practice could enhance neonatal care by facilitating the early identification and management of SIRS, potentially improving outcomes for this vulnerable population.

Prenatal vitamin D deficiency alters immune cell proportions of young adult offspring through alteration of long-term stem cell fates

Vitamin D deficiency is a common deficiency worldwide, particularly among women of reproductive age. During pregnancy, it increases the risk of immune-related diseases in offspring later in life. However, exactly how the body remembers exposure to an adverse environment during development is poorly understood. Herein, we explore the effects of prenatal vitamin D deficiency on immune cell proportions in offspring using vitamin D deficient mice established by dietary manipulation. We found that prenatal vitamin D deficiency alters immune cell proportions in offspring by changing the transcriptional properties of genes downstream of vitamin D receptor signaling in hematopoietic stem and progenitor cells of both the fetus and adults. Our results suggest the role of cellular differentiation properties of the hematopoiesis as the long-term memories of prenatal exposure at the adult stage. Moreover, further investigations of the associations between maternal vitamin D levels and cord blood immune cell profiles from 75 healthy pregnant women and their term babies also confirm that maternal vitamin D levels in the second trimester significantly affect immune cell proportions in the babies. This highlights the importance of providing vitamin D supplementation at specific stages of pregnancy.

Predictive Value of Neutrophil-to-Monocyte Ratio, Lymphocyte-to-Monocyte Ratio, C-Reactive Protein, Procalcitonin, and Tumor Necrosis Factor Alpha for Neurological Complications in Mechanically Ventilated Neonates Born after 35 Weeks of Gestation

This prospective study investigated the association between elevated neutrophil-to-monocyte ratio (NMR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein (CRP), procalcitonin, and tumor necrosis factor-alpha (TNF-alpha) and the risk of developing neurological complications in mechanically ventilated neonates. The aim was to evaluate these biomarkers' predictive value for neurological complications. Within a one-year period from January to December 2022, this research encompassed neonates born at ≥35 weeks of gestational age who required mechanical ventilation in the neonatal intensive care unit (NICU) from the first day of life. Biomarkers were measured within the first 24 h and at 72 h. Sensitivity, specificity, and area under the curve (AUC) values were calculated for each biomarker to establish the best cutoff values for predicting neurological complications. The final analysis included a total of 85 newborns, of which 26 developed neurological complications and 59 without such complications. Among the studied biomarkers, TNF-alpha at >12.8 pg/mL in the first 24 h demonstrated the highest predictive value for neurological complications, with a sensitivity of 82%, specificity of 69%, and the highest AUC (0.574, p = 0.005). At 72 h, TNF-alpha levels greater than 14.3 pg/mL showed further increased predictive accuracy (sensitivity of 87%, specificity of 72%, AUC of 0.593, p < 0.001). The NMR also emerged as a significant predictor, with a cutoff value of >5.3 yielding a sensitivity of 78% and specificity of 67% (AUC of 0.562, p = 0.029) at 24 h, and a cutoff of >6.1 showing a sensitivity of 76% and specificity of 68% (AUC of 0.567, p = 0.025) at 72 h. Conversely, CRP and procalcitonin showed limited predictive value at both time points. This study identifies TNF-alpha and NMR as robust early predictors of neurological complications in mechanically ventilated neonates, underscoring their potential utility in guiding early intervention strategies. These findings highlight the importance of incorporating specific biomarker monitoring in the clinical management of at-risk neonates to mitigate the incidence of neurological complications.

Umbilical cord blood hematological parameters in predicting early onset neonatal sepsis (EOS) - a prospective cohort study

OBJECTIVES

In low and middle income countries, there is a need for affordable and accurate biomarkers to identify neonates at risk of early onset neonatal sepsis (EOS). Cord blood hematological parameters if reliable and accurate for the detection of EOS are cost effective and can reduce the need for repeated venipuncture in the neonate.

METHODS

In this prospective cohort study, the umbilical cord parameters of newborns with gestational age >34 weeks were collected. These neonates were followed up for 72 h and septic screen was employed in those babies who had risk factors or developed clinical features of sepsis. The cord blood parameters of the normal newborn and those who had sepsis were analyzed.

RESULTS

A total of 513 neonates were enrolled for the study, 32 required septic screening of whom 13 neonates were found to meet the criteria for sepsis: either blood culture positive or sepsis screen positive with clinical features. Cord blood parameters were analyzed using independent t test. Red cell distribution width (RDW) and band cells were statistically significant (p 0.007 and 0.009 respectively) between the septic and normal neonates. Increased RDW had a sensitivity of 61.54 %, specificity of 54.60 %. Increased band cells with a cut off of >15 cells had a sensitivity of 7.7 % with specificity of 100 % with higher numbers in septic neonates. Increased RDW and band cells in combination had sensitivity of 61.54 % and specificity of 54.6 %.

CONCLUSIONS

RDW and band cell can be potential markers of EOS in cord blood but require further study in a larger population.

Time to Positivity of Blood Culture as a Predictor of Causative Pathogens and Survival in Neonatal Sepsis: A Retrospective Cohort Study from Indonesia

Objectives

In the blood culture procedure for neonatal sepsis, time to positivity (TTP) reflects the pathogenic bacterial load and the time required for empirical antibiotic regimen administration prior to definitive treatment. This study aims to identify the differences in TTP among causative pathogens and its predictive value for the overall survival of neonates with sepsis at a tertiary healthcare center in Indonesia.

Methods

A retrospective cohort study was conducted from January 2020 to August 2022 at Dr. Soetomo General Hospital, Surabaya, Indonesia. Neonates with blood culture-proven neonatal sepsis were included in the analysis. TTP was defined as the time between the acceptance of a blood culture specimen from the neonatal intensive care unit and reports of positive culture growth by the laboratory.

Results

Across 125 cases, the median TTP was 58.1 hours (IQR = 24.48). Blood cultures were positive within 48 hours for 41.6% of cases, 72 hours for 86.4%, and 96 hours for 98.4%. A significantly shorter TTP was exhibited by the three major gram-negative organisms (Klebsiella pneumoniae,Acinetobacter baumannii,Enterobacter cloacae) compared to coagulase-negative Staphylococci. The neonatal sepsis mortality rate was 49.6% during the study period. In the Cox multivariate regression model, a shorter TTP was an independently predicted mortality in the entire cohort (hazard ratio (HR) = 0.985, 95% CI: 0.973-0.998) and the gram-negative sepsis cohort group (HR = 0.983, 95% CI: 0.968-0.999).

Conclusions

TTP predicts different causative pathogens and the overall survival of neonatal sepsis cases at a tertiary healthcare facility in Indonesia.

Evaluation of systemic inflammatory indices in the diagnosis of early onset neonatal sepsis in very low birth weight infants

BACKGROUND

Previously, not six systemic inflammatory indices were evaluated in the diagnosis of early onset sepsis (EOS) in very low birth weight (VLBW, <1500g) premature infants.

OBJECTIVES

We evaluated the effectiveness of systemic inflammatory indices in the diagnosis of EOS in VLBW infants.

METHODS

Premature infants with birth weight <1500 g were included in the study. Six systemic inflammatory indices including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), and systemic inflammation response index (SIRI) were compared in patients with EOS (treatment group) and without EOS (control group).

RESULTS

Of 917 infants enrolled, 204 infants were in the EOS group and 713 infants comprised the control group. NLR, MLR and SIRI values were significantly higher in the EOS group than in the control group (p < 0.001). The AUC value of SIRI for the predictivity of EOS was 0.803.

CONCLUSIONS

The SIRI can be used together with other parameters as both an easily accessible and the reliable systemic inflammatory indices in the diagnosis of EOS in VLBW preterm infants.

Meta-analysis of the role of neutrophil to lymphocyte ratio in neonatal sepsis

INTRODUCTION

The neutrophil to lymphocyte ratio (NLR), an inflammatory biomarker, measures innate-adaptive immune system balance. In this systematic review and meta-analysis, we aim to analyze the current literature to evaluate the diagnostic role of NLR in neonatal sepsis.

METHODS

PubMed, Web of Science, and Scopus were used to conduct a systematic search for relevant publications published before May 14, 2022.

RESULTS

Thirty studies, including 2328 neonates with sepsis and 1800 neonates in the control group, were included in our meta-analysis. The results indicated that NLR is higher in neonates with sepsis compared to healthy controls (SMD = 1.81, 95% CI = 1.14-2.48, P-value < 0.001) in either prospective (SMD = 2.38, 95% CI = 1.40-3.35, P-value < 0.001) or retrospective studies (SMD = 0.87, 95% CI = 0.63-1.12, P-value < 0.001) with a pooled sensitivity of 79% (95% CI = 62-90%), and a pooled specificity of 91% (95% CI = 73-97%). Also, we found that NLR is higher in neonates with sepsis compared to those who were suspected of sepsis but eventually had negative blood cultures (SMD =1.99, 95% CI = 0.76-3.22, P-value = 0.002) with a pooled sensitivity of 0.79% (95% CI = 0.69-0.86%), and a pooled specificity of 73% (95% CI = 54-85%). In addition, neonates with sepsis had elevated levels of NLR compared to other ICU admitted neonates (SMD = 0.73, 95% CI = 0.63-0.84, P < 0.001). The pooled sensitivity was 0.65 (95% CI, 0.55-0.80), and the pooled specificity was 0.80 (95% CI, 0.68-0.88).

CONCLUSION

Our findings support NLR as a promising biomarker that can be readily integrated into clinical settings to aid in diagnosing neonatal sepsis. As evidenced by our results, restoring balance to the innate and adaptive immune system may serve as attractive therapeutic targets. Theoretically, a reduction in NLR values could be used to measure therapeutic efficacy, reflecting the restoration of balance within these systems.

Comparison of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio for the diagnosis of neonatal sepsis: a systematic review and meta-analysis

PURPOSE

To compare the performance of Neutrophil-to-Lymphocyte Ratio (NLR) with that of Platelet-to-Lymphocyte Ratio (PLR) in diagnosing neonatal sepsis (NS).

METHODS

PubMed and Embase were searched for relevant studies from the inception of the databases to May, 2022. The pooled sensitivity (SEN), specificity (SPE), and area under the receiver operator characteristic curve (AUC) were measured.

RESULTS

Thirteen studies involving 2610 participants were included. The SEN, SPE, and AUC of NLR were 0.76 (95%CI: 0.61-0.87), 0.82 (95%CI: 0.68-0.91), and 0.86 (95%CI: 0.83-0.89), respectively, and those of PLR were 0.82 (95%CI: 0.63-0.92), 0.80 (95%CI: 0.24-0.98), and 0.87 (95%CI: 0.83-0.89), respectively. Significant heterogeneity was observed among the studies. Subgroup analysis and meta-regression showed that types of sepsis (p = 0.01 for SEN), gold standard (p = 0.03 for SPE), and pre-set threshold (p<0.05 for SPE) might be the sources of heterogeneity for NLR, whereas the pre-set threshold (p<0.05 for SPE) might be the source of heterogeneity for PLR.

CONCLUSIONS

NLR and PLR would be of great accuracy for the diagnosis of NS, and the two indicators have similar diagnostic performance. However, the overall risk of bias was high, and significant heterogeneity was identified among the included studies. The results of this study should be interpreted prudently, and the normal or cut-off values and the type of sepsis should be considered. More prospective studies are needed to further support the clinical application of these findings.

Accuracy of the neutrophil-to-lymphocyte ratio for the diagnosis of neonatal sepsis: a systematic review and meta-analysis

OBJECTIVES

The purpose of this study was systematically and quantitatively to assess the value of the neutrophil-to-lymphocyte ratio (NLR) for the diagnosis of neonatal sepsis by systematic review and meta-analysis.

DESIGN

Systematic review and meta-analysis.

METHODS

Eight major databases, including The Cochrane, PubMed, Embase, Web of Science, CNKI, Wanfang, China Biomedical Literature Database and VIP Database, were systematically searched for NLR diagnoses of neonatal sepsis from inception to June 2022. Two investigators independently conducted the literature search, screening, data extraction and quality evaluation with the Quality Assessment of Diagnostic Accuracy Studies-2 checklist. Statistical analysis was performed using Review Manager V.5.3, Stata V.16.0, R (V.3.6.0) and Meta-DISC V.1.4.

RESULTS

A total of 14 studies comprising 1499 newborns were included in this meta-analysis. With a cut-off value ranging from 0.1 to 9.4, the pooled sensitivity of the NLR in the diagnosis of neonatal sepsis was 0.74 (95% CI: 0.61 to 0.83), the pooled specificity was 0.88 (95% CI: 0.73 to 0.95), the positive likelihood ratio (LR+) was 6.35 (95% CI: 2.6 to 15.47), the negative likelihood ratio (LR-) was 0.30 (95% CI: 0.19 to 0.46), the diagnostic OR (DOR) was 12.88 (95% CI: 4.47 to 37.08), area under the curve (AUC) was 0.87 (95% CI: 0.84 to 0.89). In the subgroup analysis of early-onset neonatal sepsis, the pooled sensitivity was 0.75 (95% CI: 0.47 to 0.91), the pooled specificity was 0.99 (95% CI: 0.88 to 1.00), the LR+ was 63.3 (95% CI: 5.7 to 696.8), the LR- was 0.26 (95% CI: 0.10 to 0.63), the DOR was 247 (95% CI: 16 to 3785) and the AUC was 0.97 (95% CI: 0.95 to 0.98).

CONCLUSIONS

Our findings suggest that the NLR is a helpful indicator for the diagnosis of early neonatal sepsis, but it still needs to be combined with other laboratory tests and specific clinical manifestations.

Monocyte Distribution Width in Children With Systemic Inflammatory Response: Retrospective Cohort Examining Association With Early Sepsis

OBJECTIVES

To investigate the association between increased monocyte distribution width (MDW) and pediatric sepsis in the emergency department (ED).

DESIGN

Retrospective cohort study.

SETTING

A single academic hospital study.

PATIENTS

Patients from birth to the age of 18 years who presented at the ED of an academic hospital with systemic inflammatory response syndrome (SIRS) were consecutively enrolled. Sepsis was diagnosed using the International Pediatric Surviving Sepsis Campaign criteria.

INTERVENTIONS

Antibiotic treatment was administrated once infection was suspected.

MEASUREMENTS AND MAIN RESULTS

Routine complete blood cell count, neutrophil-to-lymphocyte ratio (NLR), and MDW, a new inflammatory biomarker, were evaluated in the ED. Logistic regression models were used to explore associations with early pediatric sepsis. We included 201 patients with sepsis and 1,050 without sepsis. In the multivariable model, MDW greater than 23 U (odds ratio [OR], 4.97; 95% CI, 3.42-7.22; p < 0.0001), NLR greater than 6 (OR, 2.06; 95% CI, 1.43-2.94; p = 0.0001), WBC greater than 11,000 cells/µL (OR, 6.52; 95% CI, 4.45-9.53; p < 0.0001), and the SIRS score (OR, 3.42; 95% CI, 2.57-4.55; p < 0.0001) were associated with pediatric sepsis. In subgroup analysis, MDW greater than 23 U remained significantly associated with sepsis for children 6-12 years old (OR, 6.76; 95% CI, 2.60-17.57; p = 0.0001) and 13-18 years (OR, 17.49; 95% CI, 7.69-39.76; p = 0.0001) with an area under the receiver operating curve of 0.8-0.9.

CONCLUSIONS

MDW greater than 23 U at presentation is associated with the early diagnosis of sepsis in children greater than or equal to 6 years old. This parameter should be considered as a stratification variable in studies of pediatric sepsis.

Validation of Hematological Markers in Early Onset Neonatal Sepsis

Background

Neonatal sepsis is considered a ubiquitous worldwide cause of mortality and morbidity in newborn infants. The incidence is 10-50 per 1000 live births. Neutrophil to lymphocyte ratio (NLR) is an easily accessible and cost-effective hematological marker for prompt diagnosis of neonatal sepsis.

Aim and objectives

The purpose of this study was to analyze the clinical significance of NLR in neonates clinically diagnosed with sepsis and its impact on the management.

Methods

This retrospective study was conducted on 265 neonates diagnosed with sepsis and compared with 341 healthy controls. The statistical analysis was performed by using the Student's t-test to compare the variables.

Result

Median NLR levels were significantly higher in patients than in controls. NLR had a modest power of predicting neonatal sepsis, as suggested by an area under a curve of 0.569.

Conclusion

NLR is an important predictor of neonatal sepsis. There is a significant modest positive correlation between NLR and sepsis.

Comparison of Hematological and Biochemical Parameters of SARS-CoV-2-Positive and -Negative Neonates of COVID-19 Mothers in a COVID-19 Hospital, Odisha State

Introduction

Data are scarce on the hematological and biochemical changes caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in neonates. This study aimed to compare hematological and biochemical parameters in SARS-CoV-2-positive neonates with healthy neonates born to mothers diagnosed with coronavirus disease 2019 (COVID-19) and assess disease severity in both groups.

Methodology 

This prospective observational study was conducted at a COVID-19 hospital at Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India, from May 1 to November 30, 2020. Forty-eight babies, including 39 inborn and nine outborn, were enrolled in the study after their parents provided written informed consent. Neonates were diagnosed with COVID-19 via nasopharyngeal real-time reverse transcription-polymerase chain reaction testing. The hematological and biochemical parameters of these 48 neonates were recorded and analyzed.

Results 

SARS-CoV-2-infected neonates had lower hemoglobin, neutrophil to lymphocyte ratio, total white blood cell count, and absolute neutrophil count compared to noninfected babies (p<0.05). All SARS-CoV-2-infected neonates had serum transaminase levels and renal function tests within reference ranges. We saw no significant differences in hematological and biochemical parameters among asymptomatic SARS-CoV-2-infected and noninfected neonates. 

Conclusions

Hematological and biochemical parameters between asymptomatic SARS-CoV-2-infected and non-infected neonates were similar. The blood count abnormalities found in SARS-CoV-2-infected neonates could be due to other associated neonatal comorbidities. According to our results, asymptomatic SARS-CoV-2-infected newborns need close monitoring rather than a battery of investigation.

Comparison of Two Predictive Models of Sepsis in Critically Ill Patients Based on the Combined Use of Inflammatory Markers

Background

Sepsis is a systemic inflammatory response due to infection, resulting in organ dysfunction. Timely targeted interventions can improve prognosis. Inflammation plays a crucial role in the process of sepsis. To identify potential sepsis early, we developed and validated a nomogram model and a simple risk scoring model for predicting sepsis in critically ill patients.

Methods

The medical records of adult patients admitted to our intensive care unit (ICU) from August 2017 to December 2020 were analyzed. Patients were randomly divided into a training cohort (70%) and a validation cohort (30%). A nomogram model was developed through multivariate logistic regression analysis. The continuous variables included in nomogram model were transformed into dichotomous variables. Then, a multivariable logistic regression analysis was performed based on these dichotomous variables, and the odds ratio (OR) for each variable was used to construct a simple risk scoring model. The receiver operating characteristic curves (ROC) were constructed, and the area under the curve (AUC) was calculated.

Results

A total of 2074 patients were enrolled. Finally, white blood cell (WBC), C-reactive protein (CRP), interleukin-6 (IL-6), procalcitonin (PCT) and neutrophil-to-lymphocyte ratio (NLR) were included in our models. The AUC of the nomogram model and the simple risk scoring model were 0.854 and 0.842, respectively. The prediction performance of the two models on sepsis is comparable (p = 0.1298).

Conclusion

This study combining five commonly available inflammatory markers (WBC, CRP, IL-6, PCT and NLR) developed a nomogram model and a simple risk scoring model to predict sepsis in critically ill patients. Although the prediction performance of the two models is comparable, the simple risk scoring model may be simpler and more practical for clinicians to identify potential sepsis in critically ill patients at an early stage and strategize treatments.

The Utility of Peripheral Blood Leucocyte Ratios as Biomarkers in Neonatal Sepsis: A Systematic Review and Meta-Analysis

BACKGROUND

Early stage diagnosis of neonatal sepsis (NS) remains a major roadblock due to non-specific symptoms and the absence of precise laboratory index tests. The full blood count is a relatively cheap, universal, and rapid diagnostic test.

METHOD

This study assessed the diagnostic accuracies of immature-to-total neutrophil ratio (ITR), immature-to-mature neutrophil ratio (IMR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) used in the diagnosis of NS. Included studies were retrieved by searching four major databases and relevant references, and reviewed based on the inclusion/exclusion criteria. Pooled sensitivities and specificities were calculated, I ² was utilized to test for heterogeneity, and the source was investigated via meta-regression analysis.

RESULTS

Finally, 38 studies passed the eligibility criteria. A total of thirty-one studies (6,221 neonates) included data on the ITR, eight studies (1,230 neonates) included data on the IMR, seven studies (751 neonates) included data on the NLR, and two studies (283 neonates) included data on the PLR. The summary sensitivity estimates with 95% confidence interval (CI) for the ITR, IMR, NLR, and PLR tests were, respectively, 0.74 (95% CI: 0.66-0.80), 0.74 (95% CI: 0.54-0.88), 0.73 (95% CI: 0.68-0.78), and 0.81 (95% CI: 0.55-1.00). The summary specificity values for the ITR, IMR, NLR, and PLR tests were 0.83 (95% CI: 0.77-0.87), 0.89 (95% CI: 0.80-0.94), 0.69 (95% CI: 0.57-0.79), and 0.93 (95% CI: 0.81-1.00), respectively. The area under the summary receiver operating characteristic curves for the ITR, IMR, and NLR tests were 0.85 (95% CI: 0.82-0.88), 0.91 (95% CI: 0.88-0.93), and 0.75 (95% CI: 0.71-0.79). The PLR could not be evaluated because only two studies included pertinent data.

CONCLUSION

The NLR test might not be sufficiently accurate in precisely diagnosing NS. The ITR and IMR tests alone can improve the accuracy of NS diagnosis, but the marked heterogeneity and the limited number of studies prevented us from reaching any definitive conclusions. Thus, further studies are warranted to validate these findings.

SYSTEMATIC REVIEW REGISTRATION

[https://www.crd.york.ac.uk/prospero/], identifier [CRD42021247850].

The Utility of the Neutrophil-Lymphocyte Ratio as an Early Diagnostic Marker in Neonatal Sepsis

Aim To find the diagnostic utility of the neutrophil to lymphocyte ratio (NLR) in the early diagnosis of neonatal sepsis. Methodology The case records of all blood culture-positive septic neonates admitted from January 2018 to December 2018 were reviewed. Total leucocyte count, absolute neutrophil count, absolute lymphocyte counts, NLR, and C-reactive protein (CRP) of septic neonates were compared with gestational age-matched nonseptic neonates by an unpaired t-test. The diagnostic performance of NLR and CRP was analyzed by receiver operating characteristic (ROC) analysis. Result A total of 41 blood culture-positive neonates and 52 nonseptic neonates were enrolled in this study. There was no significant difference in the total leucocyte count and absolute neutrophil counts of septic and nonseptic neonates. The mean absolute lymphocyte count of septic neonates (2795±1424/cumm) was significantly lower than that of nonseptic neonates (4449±1794/cumm; p=<0.001). The mean NLR of septic neonates (3.88±1.78) was significantly higher as compared to nonseptic (2.3404 ±1.98) neonates (p=0.045). For the diagnosis of sepsis, NLR at cutoff >1.7 had a sensitivity and specificity of 68.3% and 46.2%, respectively; CRP at cutoff >6 mg/dl had sensitivity and specificity of 78.05% and 92.31%, respectively. In the ROC analysis, the area under the curve (AUC) for CRP and NLR for the diagnosis of neonatal sepsis was 0.918 (p=<0.001) and 0.623 (p=0.042), respectively. Conclusion Blood culture-positive septic neonates had significantly higher NLR as compared to nonseptic neonates. However, when compared to CRP, NLR was not found to be a better predictor of sepsis in our study.