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Zhou H. Total bilirubin level is associated with acute kidney injury in neonates admitted to the neonatal intensive care units: based on MIMIC-III database. Eur J Pediatr 2024:10.1007/s00431-024-05682-5. [PMID: 38990386 DOI: 10.1007/s00431-024-05682-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024]
Abstract
OBJECTIVE The objective of this study was to investigate the association between total bilirubin and acute kidney injury (AKI) in neonates admitted to neonatal intensive care units (NICU). METHODS All data utilized were extracted from Medical Information Mart for Intensive Care-III (MIMIC-III) in this retrospective cohort study. The primary outcome was the occurrence of AKI during hospitalization in the NICU, and the exposure was the initial measurement of total bilirubin levels within 24 h of neonatal admission to the NICU. The relationship between serum total bilirubin and AKI was evaluated by employing univariate and multivariate logistic regression models. Additionally, subgroup analyses were conducted based on birth weight, sepsis, and mechanical ventilation. RESULTS This retrospective cohort study included a population of 1,726 neonates, and 95 neonates developed AKI. Total bilirubin, as a continuous variable, was linked with decreased AKI risk among neonates admitted to the NICU [odds ratio (OR) = 0.77, 95% confidence interval (CI): 0.64-0.92]. Similarly, when total bilirubin levels were categorized by tertiles, tertiles 3 showed a significant association with decreased AKI risk (OR = 0.39, 95%CI: 0.19-0.83). The relationship of total bilirubin level and AKI was also existent among neonates admitted to the NICU who were underweight, had not sepsis, and received mechanical ventilation. CONCLUSION Total bilirubin level may be a protective factor for the risk of developing AKI.
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Affiliation(s)
- Huan Zhou
- Department of Neonatology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No.26 Shengli Street, Jiangan District, Wuhan, 430014, Hubei Province, China.
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Xia L, Qiu S, Kong FB, Lai J, Huang H, Hu H, Liu X, Ye Z, Cao J. Epidemiology and Nomogram for Predicting the Cancer-specific Survival of Ovarian Granulosa Cell Tumor: A Seer database study. J Gynecol Obstet Hum Reprod 2023; 52:102601. [PMID: 37156420 DOI: 10.1016/j.jogoh.2023.102601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/26/2023] [Accepted: 05/04/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE ovarian granulosa cell tumor (OGCT) is a kind of infrequent ovarian malignant tumor with limited epidemiological data available. we established a predictive nomograph to verify the clinical prognosis. METHODS 1005 diagnosed with ovarian granulosa cell tumor (OGCT) were extracted from Surveillance, Epidemiology, and End Results (SEER) public database from 2000-2018. Kaplan-Meier analysis was applied to distinguish risk factors, univariate and multivariate Cox analyses were used to determine the independent prognostic factors for cancer-specific survival (CSS) of OGCT patients. The obtained prognostic variables were combined to construct a nomogram model for predicting CSS in OGCT patients. RESULTS Model performance was detected and evaluated with ROC curves and calibration plots. Data collected from 1005 patients were divided into two groups: training cohort(n=703,70%) and validation cohort(n=302,30%). The multivariate Cox model identified five covariates including age, marital status, AJCC stages, surgery and chemotherapy as independent interfering factors of CSS. The nomogram has shown a promising and excellent accuracy in evaluating 3 -, 5 -, 8-year CSS in OGCT patients. In terms of the CSS of the training cohort, the AUC values of the 3 -, 5 -, 8-year ROC curves were 0.819,0.8,0.819, while in terms of the CSS of the validation cohort, the AUC values of the validation cohort were 0.822,0.84,0.823, respectively. All the calibration curves showed pleasant consistency between predicted and actual survival rates. The nomogram model established in the study can improve the veracity of prognosis prediction, thereby improving the accuracy of individualized survival risk assessment, and providing targeted and constructive recommendations for specific treatment options. CONCLUSION Age, advanced clinical stage, widower and without surgery therapy are independent risk factors for poor prognosis and the nomogram we constructed can help clinicians efficiently recognize high-risk OGCT patients to guide targeted therapies and improve their outcomes.
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Affiliation(s)
- Longjie Xia
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, China.; Department of General Surgery, Guangzhou First People's Hospital, Guangzhou, No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China
| | - Shenghui Qiu
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, China.; Department of General Surgery, Guangzhou First People's Hospital, Guangzhou, No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China
| | - Fan-Biao Kong
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, China.; Department of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, 6 Taoyuan Road, Nanning, Guangxi Zhuang autonomous region 530021, People's Republic of China.; Institute of Minimally Invasive Technology and Applications Guangxi Academy of Medical Science,6 Taoyuan Road, Nanning, Guangxi Zhuang autonomous region 530021, People's Republic of China
| | - Jianqin Lai
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, China.; Department of General Surgery, Guangzhou First People's Hospital, Guangzhou, No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China
| | - Huixian Huang
- Department of Plastic Surgery, The First Affiliated Hospital of Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou 510080, China
| | - Huiqiong Hu
- Department of General Surgery, Guangzhou First People's Hospital, Guangzhou, No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China
| | - Xiangxia Liu
- Department of Plastic Surgery, University of Tennessee Health Science Center, Memphis, TN, USA 38138..
| | - Zi Ye
- Department of Emergency, The First Affiliated Hospital of Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou 510080, China.
| | - Jie Cao
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Jinan University, 613 West Huangpu Avenue, Tianhe District, Guangzhou 510630, China.; Department of General Surgery, Guangzhou First People's Hospital, Guangzhou, No. 1 Panfu Road, Yuexiu District, Guangzhou 510180, China.
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