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Zhou J, Wang X, Li Y, Yang Y, Shi J. Federated-learning-based prognosis assessment model for acute pulmonary thromboembolism. BMC Med Inform Decis Mak 2024; 24:141. [PMID: 38802861 PMCID: PMC11131248 DOI: 10.1186/s12911-024-02543-x] [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: 01/23/2024] [Accepted: 05/17/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Acute pulmonary thromboembolism (PTE) is a common cardiovascular disease and recognizing low prognosis risk patients with PTE accurately is significant for clinical treatment. This study evaluated the value of federated learning (FL) technology in PTE prognosis risk assessment while ensuring the security of clinical data. METHODS A retrospective dataset consisted of PTE patients from 12 hospitals were collected, and 19 physical indicators of patients were included to train the FL-based prognosis assessment model to predict the 30-day death event. Firstly, multiple machine learning methods based on FL were compared to choose the superior model. And then performance of models trained on the independent (IID) and non-independent identical distributed(Non-IID) datasets was calculated and they were tested further on Real-world data. Besides, the optimal model was compared with pulmonary embolism severity index (PESI), simplified PESI (sPESI), Peking Union Medical College Hospital (PUMCH). RESULTS The area under the receiver operating characteristic curve (AUC) of logistic regression(0.842) outperformed convolutional neural network (0.819) and multi layer perceptron (0.784). Under IID, AUC of model trained using FL(Fed) on the training, validation and test sets was 0.852 ± 0.002, 0.867 ± 0.012 and 0.829 ± 0.004. Under Real-world, AUC of Fed was 0.855 ± 0.005, 0.882 ± 0.003 and 0.835 ± 0.005. Under IID and Real-world, AUC of Fed surpassed centralization model(NonFed) (0.847 ± 0.001, 0.841 ± 0.001 and 0.811 ± 0.001). Under Non-IID, although AUC of Fed (0.846 ± 0.047) outperformed NonFed (0.841 ± 0.001) on validation set, it (0.821 ± 0.016 and 0.799 ± 0.031) slightly lagged behind NonFed (0.847 ± 0.001 and 0.811 ± 0.001) on the training and test sets. In practice, AUC of Fed (0.853, 0.884 and 0.842) outshone PESI (0.812, 0.789 and 0.791), sPESI (0.817, 0.770 and 0.786) and PUMCH(0.848, 0.814 and 0.832) on the training, validation and test sets. Additionally, Fed (0.842) exhibited higher AUC values across test sets compared to those trained directly on the clients (0.758, 0.801, 0.783, 0.741, 0.788). CONCLUSIONS In this study, the FL based machine learning model demonstrated commendable efficacy on PTE prognostic risk prediction, rendering it well-suited for deployment in hospitals.
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Affiliation(s)
- Jun Zhou
- State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
| | - Xin Wang
- Department of Ultrasound, Peking Union Medical College Hospital, Beijing, China
| | - Yiyao Li
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Yuqing Yang
- State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
| | - Juhong Shi
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China.
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Zhong L, Lu J, Sun X, Sun Y. The association between albumin-corrected calcium and prognosis in patients with cardiac arrest: a retrospective study based on the MIMIC-IV database. Eur J Med Res 2024; 29:251. [PMID: 38658985 PMCID: PMC11044335 DOI: 10.1186/s40001-024-01841-4] [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: 10/18/2023] [Accepted: 04/12/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Cardiac arrest (CA) is one of the leading causes of death globally, characterized by high incidence and mortality. It is of particular significance to determine the prognosis of patients with CA early and accurately. Therefore, we aim to investigate the correlation between albumin-corrected calcium (ACC) and the prognosis in patients diagnosed with CA. METHODS We retrospectively collected data from medical information mart for intensive care IV database. Patients were divided into two groups (survival and non-survival groups), according to the 90-day prognosis. In the Restricted cubic spline (RCS) analysis, the cut-off values (8.86 and 10.32) were obtained to categorize patients into three groups: low ACC group (< 8.86), moderate ACC group (8.86-10.32), and high ACC group (> 10.32). The least absolute shrinkage and selection operator with a ten-fold cross-validation regression analysis was performed to identify variables linked to the mortality. The inverse probability treatment weighting (IPTW) was used to address the confounding factors, and a weighted cohort was generated. RCS, Kaplan-Meier curve, and Cox regression analyses were used to explore the relationship between ACC and the mortality. Sensitivity analysis was employed to validate the stability of the results. RESULTS Cut-off values for ACC of 8.86 and 10.32 were determined. RCS analyses showed that there was an overall non-linear trend relationship between ACC and the risk of 90-day and 360-day mortalities. After IPTW adjustment, compared to the moderate ACC group, the 90-day and 360-day mortalities in the high ACC group were higher (P < 0.05). The Cox analyses before and after IPTW adjustment showed that both low ACC and high ACC group were independent risk factors for 90-day and 360-day all-cause mortality in patients with CA (P < 0.05). The results obtained from sensitivity analyses indicated the stability of the findings. The Kaplan-Meier survival curves indicated that 90- and 360-day cumulative survival rates in the low ACC and high ACC groups were lower than that in the moderate ACC group (χ2 = 11.350, P = 0.003; χ2 = 14.110, P = 0.001). CONCLUSION Both low ACC (< 8.86) and high ACC groups (> 10.32) were independent risk factors for 90-day and 360-day all-cause mortality in patients with CA (P < 0.05). For those CA patients with high and low ACC, it deserved the attention of clinicians.
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Affiliation(s)
- Lei Zhong
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, 313000, China
- The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, 313000, China
| | - Jianhong Lu
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, 313000, China
- The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, 313000, China
| | - Xu Sun
- Department of General Surgery, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, 313000, China
- The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, 313000, China
| | - Yuechen Sun
- Department of Emergency, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, 313000, China.
- The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, 313000, China.
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Zhang J, Ali A, Liu Y, Peng L, Pu J, Yi Q, Zhou H. Additive prognostic value of serum calcium to the ESC risk stratification in patients with acute pulmonary embolism. Thromb J 2023; 21:20. [PMID: 36793097 PMCID: PMC9930215 DOI: 10.1186/s12959-023-00461-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Hypocalcemia has been shown to be involved in the adverse outcomes of acute pulmonary embolism (APE). We aimed to determine the incremental value of adding hypocalcemia, defined as serum calcium level ≤ 2.12 mmol/L, on top of the European Society of Cardiology (ESC) prognostic algorithm, for the prediction of in-hospital mortality in APE patients, which in turn could lead to the optimization of APE management. METHODS This study was conducted at West China Hospital of Sichuan University from January 2016 to December 2019. Patients with APE were retrospectively analyzed and divided into 2 groups based on serum calcium levels. Associations between hypocalcemia and adverse outcomes were assessed by Cox analysis. The accuracy of risk stratification for in-hospital mortality was assessed with the addition of serum calcium to the current ESC prognostic algorithm. RESULTS Among 803 patients diagnosed with APE, 338 (42.1%) patients had serum calcium levels ≤ 2.12 mmol/L. Hypocalcemia was significantly associated with higher in-hospital and 2-year all-cause mortality compared to the control group. The addition of serum calcium to ESC risk stratification enhanced net reclassification improvement. Low-risk group with serum calcium level > 2.12 mmol/L had a 0% mortality rate, improving the negative predictive value up to 100%, while high-risk group with serum calcium level ≤ 2.12 mmol/L indicated a higher mortality of 25%. CONCLUSION Our study identified serum calcium as a novel predictor of mortality in patients with APE. In the future, serum calcium may be added to the commonly used ESC prognostic algorithm for better risk stratification of patients suffering from APE.
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Affiliation(s)
- Jiarui Zhang
- grid.412901.f0000 0004 1770 1022Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan China
| | - Adila Ali
- grid.412901.f0000 0004 1770 1022Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan China
| | - Yu Liu
- grid.412901.f0000 0004 1770 1022Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan China
| | - Lige Peng
- grid.412901.f0000 0004 1770 1022Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan China
| | - Jiaqi Pu
- grid.412901.f0000 0004 1770 1022Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan China
| | - Qun Yi
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China. .,Cancer Hospital Affiliate to School of Medicine, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, UESTC, Sichuan Province, Chengdu, China.
| | - Haixia Zhou
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
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Chunilal SD, Bennett A. A new clinical prediction rule for pulmonary embolism: What's new? Respirology 2022; 27:571-572. [PMID: 35734781 DOI: 10.1111/resp.14314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 06/09/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Sanjeev Daya Chunilal
- Department of Haematology, Monash Medical Center, Clayton, Victoria, Australia.,School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Ashwini Bennett
- Department of Haematology, Monash Medical Center, Clayton, Victoria, Australia.,School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
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Qin X, Cen J, Hu H, Chen X, Wei Z, Wan Q, Cao R. Non-linear relationship between albumin-corrected calcium and 30-day in-hospital mortality in ICU patients: A multicenter retrospective cohort study. Front Endocrinol (Lausanne) 2022; 13:1059201. [PMID: 36619536 PMCID: PMC9810799 DOI: 10.3389/fendo.2022.1059201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/24/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Albumin-corrected calcium is usually calculated to reflect the real serum calcium level of the whole body by physicians. However, studies on the association between albumin-corrected calcium and 30-day in-hospital mortality in Intensive Care Unit (ICU) patients are rare. The purpose of our study was to explore the association between baseline albumin-corrected calcium and 30-day in-hospital mortality in the American ICU population. METHODS A multicenter retrospective cohort study of 102,245 ICU patients in the eICU-CRD v2.0 from the USA during 2014-2015 was performed. The average age was 63.7 ± 16.9 years, of which 55,313 (53.7%) were men and 47,758 (46.3%) were women. The association between albumin-corrected calcium and 30-day in-hospital mortality was analyzed by Cox proportional-hazards regression, smooth curve fitting, piecewise linear regression, subgroup analyses, and a series of sensitivity analyses. RESULTS We found that among ICU patients with calcium abnormalities, more than 95% were mild hypocalcemia or mild hypercalcemia. The risk of 30-day in-hospital mortality will increase by 10% in the ≥7.5-< 8.5 mg/dl subgroup (OR=1.1, 95% CI 1.0-1.3) or 20% in the ≥10.3-<12 mg/dl subgroup (OR=1.2, 95% CI 1.1-1.3) when the albumin-corrected calcium level increases by 1 mg/dl. Additionally, the relationship between albumin-corrected calcium and 30-day in-hospital mortality was U shaped; the inflection point was 8.9 mg/dl (log likelihood ratio test P = 0.005). Finally, after a series of sensitivity analyses, we found that the relationship between albumin-corrected calcium and 30-day in-hospital mortality remained significant. CONCLUSION In a large nationally representative cohort of ICU patients, abnormalities in albumin-corrected calcium, particularly slight hypocalcemia or slight hypercalcemia, were associated with an increased 30-day in-hospital mortality risk, and yet the findings in this study need to be further confirmed by prospective studies.
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Affiliation(s)
- Xun Qin
- Department of Nephrology, Hechi People’s Hospital, Hechi, China
| | - Ji Cen
- Department of Nephrology, Hechi People’s Hospital, Hechi, China
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Xinglin Chen
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Epidemiology and Biostatistics, Empower U, X&Y Solutions Inc., Boston, MA, United States
| | - Zhe Wei
- Department of Nephrology, Hechi People’s Hospital, Hechi, China
- *Correspondence: Rong Cao, ; Qijun Wan, ; Zhe Wei,
| | - Qijun Wan
- Department of Nephrology, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
- *Correspondence: Rong Cao, ; Qijun Wan, ; Zhe Wei,
| | - Rong Cao
- Department of Nephrology, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
- *Correspondence: Rong Cao, ; Qijun Wan, ; Zhe Wei,
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