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Wang F, Shi X, Yu X, Yang Y. Immune checkpoint inhibitor-induced isolated adrenocorticotropic hormone deficiency: a systematic review. Front Endocrinol (Lausanne) 2024; 15:1326684. [PMID: 38318292 PMCID: PMC10838970 DOI: 10.3389/fendo.2024.1326684] [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: 10/23/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024] Open
Abstract
Background Immune checkpoint inhibitor-induced isolated adrenocorticotropic hormone deficiency (IAD) is a rare but potentially fatal disease. Methods We comprehensively searched the PubMed database and made a systematic review of immune checkpoint inhibitor-induced isolated adrenocorticotropic hormone deficiency. If the status of other anterior pituitary hormones was not mentioned, the case was excluded. Results We identified 123 cases diagnosed as immune checkpoint inhibitor-induced IAD, consisting of 44 female and 79 male patients. The average age of these patients was 64.3 ± 12.6 years old, and 67.5% were 60 years old or above. The majority (78.9%) of these patients received anti-programmed cell death protein-1 (anti-PD-1) antibodies or anti-programmed cell death ligand 1 (anti-PD-L1) antibodies or both, and 19.5% received combined therapy, sequential therapy, or both. A total of 26 patients received anti-cytotoxic T lymphocyte antigen 4 antibodies (anti-CTLA-4). The median ICI treatment cycle before the diagnosis of adrenal insufficiency was 8 (6, 12), and the median ICI treatment duration before the diagnosis of adrenal insufficiency was 6 (4, 8) months. Eleven cases developed IAD 1 to 11 months after discontinuation of ICIs. Fatigue and appetite loss were the most common symptoms, and surprisingly, there were two asymptomatic cases of IAD. Most patients (88 cases) had normal pituitary magnetic resonance imaging, only 14 cases reported mild atrophy or swelling pituitary gland, and 21 cases reported no imaging results. Most diagnoses were made by basal hormone levels, and pituitary stimulation tests were performed in only a part of the cases. No cases had been reported of discontinuation of ICI use due to IAD nor had there been any deaths due to IAD. Conclusion IAD was predominant in elderly male patients mainly receiving anti-PD-1 or anti-PD-L1 antibodies. It was sometimes difficult to recognize IAD at first glance since non-specific symptoms were common and asymptomatic cases of IAD were also reported. Although IAD can be deadly, it usually does not affect the continued use of ICIs.
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Affiliation(s)
| | | | | | - Yan Yang
- Division of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Branch of National Clinical Research Center for Metabolic Diseases, Wuhan, China
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Cai X, Zhang A, Zhao P, Liu Z, Aili Y, Zeng X, Geng Y, Du C, Yuan F, Zhu J, Yang J, Tang C, Cong Z, Liu Y, Ma C. Predictors and dynamic online nomogram for postoperative delayed hyponatremia after endoscopic transsphenoidal surgery for pituitary adenomas: a single-center, retrospective, observational cohort study with external validation. Chin Neurosurg J 2023; 9:19. [PMID: 37525288 PMCID: PMC10391999 DOI: 10.1186/s41016-023-00334-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/15/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Postoperative delayed hyponatremia (PDH) is a major cause of readmission after endoscopic transsphenoidal surgery (eTSS) for pituitary adenomas (PAs). However, the risk factors associated with PDH have not been well established, and the development of a dynamic online nomogram for predicting PDH is yet to be realized. We aimed to investigate the predictive factors for PDH and construct a dynamic online nomogram to aid in its prediction. METHODS We analyzed the data of 226 consecutive patients who underwent eTSS for PAs at the Department of Neurosurgery in Jinling Hospital between January 2018 and October 2020. An additional 97 external patients were included for external validation. PDH was defined as a serum sodium level below 137 mmol/L, occurring on the third postoperative day (POD) or later. RESULTS Hyponatremia on POD 1-2 (OR = 2.64, P = 0.033), prothrombin time (PT) (OR = 1.78, P = 0.008), and percentage of monocytes (OR = 1.22, P = 0.047) were identified as predictive factors for PDH via multivariable logistic regression analysis. Based on these predictors, a nomogram was constructed with great discrimination in internal validation (adjusted AUC: 0.613-0.688) and external validation (AUC: 0.594-0.617). Furthermore, the nomogram demonstrated good performance in calibration plot, Brier Score, and decision curve analysis. Subgroup analysis revealed robust predictive performance in patients with various clinical subtypes and mild to moderate PDH. CONCLUSIONS Preoperative PT and the percentage of monocytes were, for the first time, identified as predictive factors for PDH. The dynamic nomogram proved to be a valuable tool for predicting PDH after eTSS for PAs and demonstrated good generalizability. Patients could benefit from early identification of PDH and optimized treatment decisions.
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Affiliation(s)
- Xiangming Cai
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
- School of Medicine, Southeast University, Nanjing, China
- Department of Molecular Cell Biology and Immunology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - An Zhang
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
| | - Peng Zhao
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhiyuan Liu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yiliyaer Aili
- Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China
| | - Xinrui Zeng
- School of Medicine, Southeast University, Nanjing, China
| | - Yuanming Geng
- Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China
| | - Chaonan Du
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Feng Yuan
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Junhao Zhu
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jin Yang
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
| | - Chao Tang
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
| | - Zixiang Cong
- Department of Neurosurgery, Jinling Hospital, Nanjing, China
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yuxiu Liu
- Department of Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
| | - Chiyuan Ma
- Department of Neurosurgery, Jinling Hospital, Nanjing, China.
- School of Medicine, Southeast University, Nanjing, China.
- Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China.
- Department of Neurosurgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
- Department of Neurosurgery, Jinling Hospital, the First School of Clinical Medicine, Southern Medical University, Nanjing, China.
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