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Deng ZY, Xu FD, He XG, Li N. [Research progress on the relationship between anemia and neonatal necrotizing enterocolitis]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2024; 26:646-651. [PMID: 38926383 DOI: 10.7499/j.issn.1008-8830.2312089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/28/2024]
Abstract
Neonatal necrotizing enterocolitis (NEC) is the most common inflammatory intestinal disease in preterm infants, with a high incidence and mortality rate. The etiology and mechanisms of NEC are not yet fully understood, and multiple factors contribute to its occurrence and development. Recent studies have found that anemia is a risk factor for NEC in neonates, but the specific pathogenic mechanism remains unclear. This article reviews recent research on the relationship between anemia and NEC, providing a reference for further understanding the impact of anemia on intestinal injury and its association with NEC.
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Affiliation(s)
- Zhi-Yue Deng
- Department of Neonatology, Dongguan Children's Hospital Affiliated to Guangdong Medical University, Dongguan, Guangdong 523325, China
| | - Feng-Dan Xu
- Department of Neonatology, Dongguan Children's Hospital Affiliated to Guangdong Medical University, Dongguan, Guangdong 523325, China
| | - Xiao-Guang He
- Department of Neonatology, Dongguan Children's Hospital Affiliated to Guangdong Medical University, Dongguan, Guangdong 523325, China
| | - Ning Li
- Department of Neonatology, Dongguan Children's Hospital Affiliated to Guangdong Medical University, Dongguan, Guangdong 523325, China
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Zhong L, Zhong Y, Chen W, Liang F, Liao Y, Zhou Y. Association between haemoglobin-to-red blood cell distribution width ratio at admission and all-cause mortality in adult patients with sepsis in an intensive care unit: a secondary analysis of the MIMIC-IV database. BMJ Open 2024; 14:e081340. [PMID: 38553061 PMCID: PMC10982791 DOI: 10.1136/bmjopen-2023-081340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 03/19/2024] [Indexed: 04/02/2024] Open
Abstract
OBJECTIVE The association between haemoglobin-to-red blood cell distribution width ratio (HRR) and all-cause mortality remains poorly understood. This study aimed to examine the influence of HRR at the time of admission mortality over 1 year and 30 days in patients with sepsis. DESIGN This was a secondary analysis. SETTING This study was conducted in intensive care units (ICUs). PARTICIPANTS Adult patients with sepsis were identified and included from an intensive care database based on eligibility criteria. PRIMARY OUTCOME AND MEASURE The primary outcome was the rate of death within 1 year. The secondary outcome was the death rate within 30 days. RESULTS A total of 4233 patients with sepsis who met the inclusion criteria were analysed, excluding those ineligible. These participants were divided into quartiles based on their HRR at admission. The overall mortality rates at 1 year and 30 days were 42.9% and 25.5%, respectively. A significant inverse association was observed between HRR quartiles and all-cause mortality (p<0.001). Pairwise comparisons using Kaplan-Meier analysis showed significant differences in 1-year mortality rates across the quartiles. However, no significant difference was detected in 30-day mortality between the Q3 and Q4 groups (p=0.222). Multivariate Cox regression analysis demonstrated that a higher HRR at ICU admission was independently associated with reduced mortality at 1 year (HR, 0.935; 95% CI 0.913 to 0.958; p<0.001) and 30 days (HR, 0.969; 95% CI 0.939 to 0.999; p=0.043). Furthermore, restricted cubic spline models indicated a non-linear relationship between HRR and mortality at both 1 year and 30 days (p<0.001 for both). CONCLUSIONS This retrospective analysis demonstrated that the HRR at the time of admission was a significant prognostic marker for long-term mortality in patients with sepsis.
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Affiliation(s)
- Liping Zhong
- Meizhou People's Hospital, Meizhou, Guangdong, China
| | - Yuting Zhong
- Meizhou People's Hospital, Meizhou, Guangdong, China
| | - Weiming Chen
- Meizhou People's Hospital, Meizhou, Guangdong, China
| | - Fei Liang
- Meizhou People's Hospital, Meizhou, Guangdong, China
| | - Yilin Liao
- Meizhou People's Hospital, Meizhou, Guangdong, China
| | - Yuanjun Zhou
- Meizhou People's Hospital, Meizhou, Guangdong, China
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Peng H, Su Y, Luo J, Ding N. Association between admission hemoglobin level and prognosis in sepsis patients based on a critical care database. Sci Rep 2024; 14:5212. [PMID: 38433267 PMCID: PMC10909867 DOI: 10.1038/s41598-024-55954-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 02/29/2024] [Indexed: 03/05/2024] Open
Abstract
This study aimed to explore the association between admission hemoglobin level and clinical outcomes in sepsis based on Medical Information Mart for Intensive Care IV(MIMIC-IV) database. It was a retrospective study. Sepsis patients in the database were included. Data extraction from MIMIC-IV was performed by PostgreSQL 9.6 software. Three different models including crude model (adjusted for none), model I (adjusted for gender and age) and model II (adjusted for all potential cofounders) were constructed. A generalized liner model and a smooth fitting curve for indicating the relationship between hemoglobin level and 30-day mortality were performed. 6249 septic patients with a 30.18% of 30-day mortality were included. With 1 g/dl increment in hemoglobin level, the values of odds ratio (OR) in crude model, model I and model II were 0.96 (95% confidential interval (CI) 0.94-0.99, P = 0.0023), 0.96 (95%CI 0.93-0.98, P = 0.0010) and 0.87 (95%CI 0.79-0.95, P = 0.0020), respectively. The smooth fitting curve indicated a non-linear relationship and the turning point was 7.2 g/dl. Compared the hemoglobin group < 7.2 g/dl, the risk of 30-day mortality significantly decreased by 32% in the hemoglobin group ≥ 7.2 g/dl (OR = 0.68, 95%CI 0.51-0.93, P = 0.0142). The non-linear relationship between admission hemoglobin level and 30-day mortality in sepsis was found. Hemoglobin supplementation might be beneficial for septic patients with hemoglobin level < 7.2 g/dl.
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Affiliation(s)
- Hongchun Peng
- Department of Orthopedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, China
| | - Yingjie Su
- Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, No. 161 Shaoshan South Road, Changsha, 410004, Hunan, China
| | - Ju Luo
- Department of Geriatrics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, No. 161 Shaoshan South Road, Changsha, 410004, Hunan, China.
| | - Ning Ding
- Department of Emergency Medicine, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, No. 161 Shaoshan South Road, Changsha, 410004, Hunan, China.
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Chen Y, Chen L, Meng Z, Li Y, Tang J, Liu S, Li L, Zhang P, Chen Q, Liu Y. The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database. BMC Infect Dis 2023; 23:417. [PMID: 37340360 DOI: 10.1186/s12879-023-08384-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 06/08/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Previous studies found minimal evidence and raised controversy about the link between hemoglobin and 28-day mortality in sepsis patients. As a result, the purpose of this study was to examine the association between hemoglobin and 28-day death in sepsis patients by analyzing the Medical Intensive Care IV (MIMIC-IV) database from 2008 to 2019 at an advanced medical center in Boston, Massachusetts. METHODS We extracted 34,916 sepsis patients from the MIMIC-IV retrospective cohort database, using hemoglobin as the exposure variable and 28-day death as the outcome variable, and after adjusting for confounders (demographic indicators, Charlson co-morbidity index, SOFA score, vital signs, medication use status (glucocorticoids, vasoactive drugs, antibiotics, and immunoglobulins, etc.)), we investigated the independent effects of hemoglobin and 28-day risk of death by binary logistic regression as well as two-piecewise linear model, respectively. RESULTS Hemoglobin levels and 28-day mortality were shown to be non-linearly related.The inflection points were 104 g/L and 128 g/L, respectively. When HGB levels were between 41 and 104 g/L, there was a 10% decrease in the risk of 28-day mortality (OR: 0.90; 95% CI: 0.87 to 0.94, p-value = 0.0001). However, in the range of 104-128 g/L, we did not observe a significant association between hemoglobin and 28-day mortality (OR: 1.17; 95% CI: 1.00 to 1.35, P value = 0.0586). When HGB was in the range of 128-207 g/L, there was a 7% increase in the risk of 28-day mortality for every 1 unit increase in HGB (OR: 1.07; 95% CI: 1.01 to 1.15, P value = 0.0424). CONCLUSION In patients with sepsis, baseline hemoglobin was related to a U-shaped risk of 28-day death. When HGB was in the range of 12.8-20.7 g/dL, there was a 7% increase in the risk of 28-day mortality for every 1 unit increase in HGB.
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Affiliation(s)
- Yu Chen
- Clinical Laboratory Center, The Affiliated Hospital of Guizhou Medical University, 28, Guiyi Street, Guiyang, Guizhou, China
| | - Lu Chen
- Department of Clinical Trials Centre, The Affiliated Hospital of Guizhou Medical University, 28, Guiyi Street, Guiyang, Guizhou, China
| | - Zengping Meng
- Clinical Laboratory Center, The Affiliated Hospital of Guizhou Medical University, 28, Guiyi Street, Guiyang, Guizhou, China
| | - Yi Li
- College of Medical Laboratory, Guizhou Medical University, 9 Beijing Road, Guiyang, Guizhou, China
| | - Juan Tang
- College of Medical Laboratory, Guizhou Medical University, 9 Beijing Road, Guiyang, Guizhou, China
| | - Shaowen Liu
- College of Medical Laboratory, Guizhou Medical University, 9 Beijing Road, Guiyang, Guizhou, China
| | - Li Li
- Clinical Laboratory Center, The Affiliated Hospital of Guizhou Medical University, 28, Guiyi Street, Guiyang, Guizhou, China
| | - Peisheng Zhang
- Clinical Laboratory Center, The Affiliated Hospital of Guizhou Medical University, 28, Guiyi Street, Guiyang, Guizhou, China
| | - Qian Chen
- College of Medical Laboratory, Guizhou Medical University, 9 Beijing Road, Guiyang, Guizhou, China
| | - Yongmei Liu
- Clinical Laboratory Center, The Affiliated Hospital of Guizhou Medical University, 28, Guiyi Street, Guiyang, Guizhou, China.
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Adane T, Worku M, Tigabu A, Aynalem M. Hematological Abnormalities in Culture Positive Neonatal Sepsis. Pediatric Health Med Ther 2022; 13:217-225. [PMID: 35698626 PMCID: PMC9188337 DOI: 10.2147/phmt.s361188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/30/2022] [Indexed: 12/12/2022] Open
Abstract
Background In neonatal sepsis, anemia, leukocytosis, thrombocytopenia, and a shortened coagulation time are the most common hematologic abnormalities. However, there is inadequate information regarding the hematological abnormalities in neonatal sepsis. Thus, we aimed to determine the magnitude of hematological abnormalities in neonatal sepsis. Methods This is a cross-sectional study that included 143 neonates with culture proven sepsis aged 1–28 days from September 2020 to November 2021 at the University of Gondar Specialized Referral Hospital. The sociodemographic data was collected using a pre-tested structured questionnaire, and the clinical and laboratory data was collected using a data collection sheet. A total of 2 mL of venous blood was taken using a vacutainer collection device for the complete blood count (CBC) and blood culture analysis. A univariate and multivariate logistic regression model was used to investigate factors associated with hematological abnormalities in neonatal sepsis. Statistical significance was declared when a p-value was less than 0.05. Results The prevalence of anemia, thrombocytopenia, and leucopenia in neonatal sepsis was 49% (95% CI: 40.89–57.06), 44.7% (95% CI: 36.8–52.9), and 26.6% (95% CI: 22.01–29.40), respectively. On the other hand, leukocytosis and thrombocytosis were found in 7.7% (95% CI: 4.35–13.25) and 11.9% (95% CI: 7.56–18.21), respectively. Being female (AOR: 3.3; 95% CI: 1.20–3.82) and being aged less than 7 days (AOR: 2.44; 95% CI: 1.6–6.9) were found to be significant predictors of anemia. Conclusion The magnitude of anemia, leucopenia, and thrombocytopenia is high in neonatal sepsis. Furthermore, being female and being younger than 7 days were risk factors for anemia. Thus, the diagnosis and treatment of anemia, leucopenia, and thrombocytopenia prevents further complications in neonatal sepsis.
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Affiliation(s)
- Tiruneh Adane
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
- Correspondence: Tiruneh Adane, Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, PO Box 196, Gondar, Ethiopia, Tel +251 949914917, Email
| | - Minichil Worku
- Department of Medical Microbiology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abiye Tigabu
- Department of Medical Microbiology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Melak Aynalem
- Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
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Shuai X, Li X, Wu Y. Prediction for late-onset sepsis in preterm infants based on data from East China. Front Pediatr 2022; 10:924014. [PMID: 36186643 PMCID: PMC9515484 DOI: 10.3389/fped.2022.924014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 08/03/2022] [Indexed: 11/23/2022] Open
Abstract
AIM To construct a prediction model based on the data of premature infants and to apply the data in our study as external validation to the prediction model proposed by Yuejun Huang et al. to evaluate the predictive ability of both models. METHODS In total, 397 premature infants were randomly divided into the training set (n = 278) and the testing set (n = 119). Univariate and multivariate logistic analyses were applied to identify potential predictors, and the prediction model was constructed based on the predictors. The area under the curve (AUC) value, the receiver operator characteristic (ROC) curves, and the calibration curves were used to evaluate the predictive performances of prediction models. The data in our study were used in the prediction model proposed by Yuejun Huang et al. as external validation. RESULTS In the current study, endotracheal intubation [odds ratio (OR) = 10.553, 95% confidence interval (CI): 4.959-22.458], mechanical ventilation (OR = 10.243, 95% CI: 4.811-21.806), asphyxia (OR = 2.614, 95% CI: 1.536-4.447), and antibiotics use (OR = 3.362, 95% CI: 1.454-7.775) were risk factors for late-onset sepsis in preterm infants. The higher birth weight of infants (OR = 0.312, 95% CI: 0.165-0.588) and gestational age were protective factors for late-onset sepsis in preterm infants. The training set was applied for the construction of the models, and the testing set was used to test the diagnostic efficiency of the model. The AUC values of the prediction model were 0.760 in the training set and 0.796 in the testing set. CONCLUSION The prediction model showed a good predictive ability for late-onset sepsis in preterm infants.
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Affiliation(s)
- Xianghua Shuai
- Department of Neonatology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoxia Li
- Department of Neonatology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yiling Wu
- Department of Neonatology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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