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Predictive Model of Delayed Hyponatremia after Endoscopic Endonasal Transsphenoidal Resection of Pituitary Adenoma

Faan Miao1*, YuKang Pei2

1Department of Neurosurgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

2 Department of Skull Base Oncology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China

*Corresponding Author:
Faan Miao
Department of Neurosurgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
E-mail: m_fan1825@xzhmu.edu.cn

Received: 19-April-2024, Manuscript No. JCMCS-24- 132614; Editor assigned: 22-April-2024, PreQC No. JCMCS-24- 132614(PQ); Reviewed: 08-May-2024, QC No. JCMCS-24- 132614; Revised: 15-May-2024, Manuscript No. JCMCS-24- 132614(R); Published: 22-May-2024, DOI: 10.4172/J Clin Med Case Stud.9.2.005. 

Citation: Miao F, et al. Predictive Model of Delayed Hyponatremia after Endoscopic Endonasal Transsphenoidal Resection of Pituitary Adenoma. J Clin Med Case Stud. 2024;9:005

Copyright: © 2024 Miao F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Objective: This study aims to establish the risk factors and predictive model for the occurrence of delayed hyponatremia after endoscopic endonasal transsphenoidal resection of pituitary adenoma.

Methods: Data from 155 patients who underwent endoscopic endonasal transsphenoidal resection of pituitary adenoma at the affiliated hospital of Xuzhou Medical University from January 2018 to May 2023 were analyzed. These patients were randomly divided into a training group (108 cases, 70%) and a validation group (47 cases, 30%). Univariate and multivariate logistic regression analysis were conducted on the training group to identify risk factors for delayed hyponatremia after surgery. A predictive model was established using R software and validated.

Results: After conducting univariate and multivariate logistic regression analysis, factors influencing the occurrence of delayed hyponatremia after endoscopic endonasal transsphenoidal resection of pituitary adenoma were identified as follows: Elevated preoperative prolactin levels, higher preoperative suprasellar cistern height, and hyponatremia in the first 1-2 days after surgery. The area under the Receiver Operating Characteristic (ROC) curve for forecasting Delayed Postoperative Hyponatremia (DPH) in training and validation sets was 0.943 and 0.959 respectively. The DCA curve indicated a higher benefit in clinical application.

Conclusion: The risk prediction model for delayed hyponatremia after endoscopic endonasal transsphenoidal resection of pituitary adenoma, developed in this study, demonstrates favorable predictive performance. The nomogram can be utilized for early identification of high-risk individuals for DPH.

Keywords

Pituitary adenoma; Transsphenoidal surgery; Delayed hyponatremia; Nomograms

Introduction

Pituitary Adenoma (PA) is a tumor that grows in the sellar region of the anterior pituitary gland. Its incidence ranks only after gliomas and meningiomas [1,2]. Most pituitary adenomas can be removed through Transsphenoidal Surgery (TSS) using an endoscopic endonasal approach. This surgical technique not only avoids traction on brain tissue and cranial nerves but also maximizes tumor removal while reducing postoperative complications, thereby shortening hospital stays [3]. Delayed Postoperative Hyponatremia (DPH) refers to hyponatremia occurring on or after the third day following surgery [4]. The incidence of DPH after transsphenoidal surgery for pituitary adenoma varies between 7.4% and 14.7% [5]. Patients with hyponatremia may present with various clinical symptoms, and severe cases can lead to altered mental status, seizures, coma, and even death [6]. Additionally, research suggests that DPH is a major risk factor for readmission within 30 days postoperatively for pituitary adenoma [7]. The objective of this study is to explore the risk factors for DPH after endoscopic endonasal transsphenoidal resection of pituitary adenoma and to construct a predictive model to identify and screen high-risk patients, thereby assisting clinical decision-making.

Materials and Methods

Patient cohort

A retrospective analysis was conducted on clinical data collected from 155 patients who underwent endoscopic endonasal transsphenoidal surgery at the affiliated hospital of Xuzhou Medical University between January 2018 and May 2023. Inclusion criteria were: a) Patients diagnosed with pituitary adenoma based on clinical and pathological confirmation; b) first-time recipients of endoscopic endonasal transsphenoidal resection of pituitary adenoma; c) availability of complete clinical data. Exclusion criteria were: a) History of previous pituitary surgery or radiotherapy; b) preoperative hyponatremia; c) patients with concomitant other pituitary lesions or endocrine disorders. The same surgical team performed all surgeries. Ethical approval was obtained from the Ethics Committee of the affiliated hospital of Xuzhou Medical University, and all patients were exempt from informed consent (XYFY2023-KL250-01).

Research data

Collected and compiled clinical data, including demographic information, surgical procedures, and postoperative outcomes. Laboratory data encompassed hormone levels before and after surgery: Adrenocorticotropic Hormone (ACTH), cortisol, Prolactin (PRL), Growth Hormone (GH), Thyroid-Stimulating Hormone (TSH), and insulin-like growth factor, as well as serum sodium levels (preoperatively and postoperatively for the first 1 to 3 days; in case of hyponatremia, daily monitoring until normalization, otherwise every three days). Imaging data included pre- and postoperative pituitary MRI scans (plain and enhanced scans) for evaluating tumor size, Knosp grading, pre- and postoperative angle of pituitary stalk deviation, height increase of the diaphragma sellae before and after surgery, and extent of tumor resection.

Diagnostic criteria and definitions

Considering potential variations in reference values across different laboratories [8], low serum sodium concentration is defined as below 137 mmol/L based on the laboratory settings of our institution. Upon admission, all patients undergo radiological examination to observe tumor location and its relationship with surrounding tissues, classified into Knosp grades 0-4 [9]. The angle of deviation of the pituitary stalk is recorded on T1+C scans, defined as the angle at which the pituitary stalk deviates from the midline at its point of origin [10] (Figure 1). On T2W1 scans, the height of the diaphragma sellae elevation (the distance between the plane where the elevation of the diaphragma sellae begins and the plane of the highest point of the sellae) is calculated (Figure 2). Tumor volume is calculated using the simplified ellipsoid volume formula V=ABC/2.

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Figure 1: The difference in pituitary stalk deviation angle before and after transsphenoidal surgery. (a) Before surgery, the pituitary stalk deviates 20.893° to the right; (b) After surgery, the tumor was totally removed, and the pituitary stalk deviation angle was 9.246°.

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Figure 2: Changes in the Diaphragma Sellae (DS) before and after transsphenoidal surgery. (a) Preoperative elevation of DS was 8.77 mm; (b) After resection of the tumor, the elevation of DS was 0 mm.

Factors Training group ï¼?n=108ï¼? Validation group(n=47ï¼? t /χ2/Z P
Age, yrs 47.9 ± 12.5 50.9 ± 15.6 1.617 0.106
Sex     1.166 0.243
Male 51ï¼?47.2ï¼? 27ï¼?57.4ï¼?    
Female 57ï¼?52.8ï¼? 20ï¼?42.6ï¼?    
Dizziness and Headache 64ï¼?59.3ï¼? 26ï¼?55.3ï¼? 0.455 0.649
Visual damage and optic filed defect 51ï¼?47.2ï¼? 23ï¼?48.9ï¼? 0.196 0.845
Altered menstrual period 9ï¼?8.3ï¼? 6ï¼?12.8ï¼? 0.855 0.392
Galactorrhea 1ï¼?0.9ï¼? 1ï¼?2.1ï¼? 0.607 0.544
Changes in sexual function 0ï¼?0.0ï¼? 1ï¼?2.1ï¼? 1.516 0.13
Acromegalia 4ï¼?3.7ï¼? 3ï¼?6.4ï¼? 0.736 0.462
Preoperative ACTH (pg/ml) 25.6ï¼?19.8ï¼?34.8ï¼? 29.1ï¼?19.2ï¼?35.6ï¼? 1.094 0.274
Preoperative cortisol (ug/dl) 9.9ï¼?7.5ï¼?13.1ï¼? 11.2ï¼?7.2ï¼?15.4ï¼? 0.938 0.348
Preoperative PRL (ng/ml) 24.6ï¼?15.7ï¼?256.8ï¼? 22.9ï¼?12.5ï¼?40.1ï¼? 1.308 0.108
Preoperative GH (ng/ml) 0.6ï¼?0.2ï¼?1.6ï¼? 0.3ï¼?0.1ï¼?0.9ï¼? 1.829 0.067
Postoperative ACTHï¼?pg/ml) 22.4ï¼?15.6ï¼?35.9ï¼? 28.3ï¼?16.3ï¼?35.9ï¼? 1.633 0.102
Postoperative cortisol (ug/dl) 14.8ï¼?7.9ï¼?18.7ï¼? 18.6ï¼?8.9ï¼?25.1ï¼? 2.423 0.015
Postoperative PRL (ng/ml) 21.3ï¼?9.5ï¼?139.5ï¼? 19.1ï¼?7.0ï¼?66.4ï¼? 1.03 0.303
Postoperative GH (ng/ml) 0.9ï¼?0.6ï¼?1.6ï¼? 0.8ï¼?0.5ï¼?1.6ï¼? 0.152 0.879
Preoperative sodium levelsï¼?mmol/Lï¼? 141.5ï¼?139.0ï¼?142.3ï¼? 141.5ï¼?140.5ï¼?142.5ï¼? 1.712 0.087
Sodium levels 1-2 days after surgeryï¼?mmol/Lï¼? 139.7ï¼?136.5ï¼?141.9ï¼? 141.6ï¼?139.3ï¼?142.8ï¼? 1.937 0.053
Sodium levels 3 days after surgeryï¼?mmol/Lï¼? 139.5ï¼?134.7ï¼?141.9ï¼? 141.1ï¼?139.4ï¼?143.0ï¼? 2.934 0.003
Maximum tumor diameter
ï¼?mmï¼?
25ï¼?16ï¼?34ï¼? 20ï¼?16ï¼?25ï¼? 2.548 0.011
Tumor volumeï¼?cm³Ã¯Â¼? 4.7ï¼?2.2ï¼?10.0ï¼? 3.2ï¼?2.0ï¼?5.4ï¼? 2.067 0.039
Preoperative pituitary stalk deviation angleï¼?°Ã¯Â¼? 37.0ï¼?20.0ï¼?45.7ï¼? 29.2ï¼?20.1ï¼?38.9ï¼? 1.681 0.093
Postoperative pituitary stalk deviation angleï¼?°Ã¯Â¼? 20.0ï¼?2.1ï¼?29.1ï¼? 12.3ï¼?0.0ï¼?22.0ï¼? 1.681 0.12
Preoperative elevation of the diaphragma sellaeï¼?mmï¼? 13.5ï¼?5.0ï¼?20.0ï¼? 8.0ï¼?5.0ï¼?15.0ï¼? 1.719 0.097
Postoperative elevation of the diaphragma sellae ï¼?mmï¼? 4.5ï¼?0.0ï¼?10.0ï¼? 3.0ï¼?0.0ï¼?8.0ï¼? 1.824 0.068
Knosp grade     1.659 0.097
Grade 0~2 62ï¼?57.5ï¼? 36ï¼?76.6ï¼?    
Grade 3~4 46ï¼?42.5ï¼? 11ï¼?23.4ï¼?    
Extent of tumor resection     1.486 0.137
Total resection 92ï¼?85.2ï¼? 44ï¼?93.6ï¼?    
Subtotal resection 14ï¼?13.0ï¼? 3ï¼?6.4ï¼?    
Partial resection 2ï¼?1.9ï¼? 0ï¼?0.0ï¼?    
Intraoperative CSF leakage 14ï¼?13.0ï¼? 7ï¼?14.9ï¼? 0.322 0.748
Postoperative diabetes insipidus 49ï¼?45.4ï¼? 12ï¼?25.5ï¼? 2.316 0.021
Hyponatremia 1-2 days after surgery 32ï¼?29.6ï¼? 7ï¼?14.9ï¼? 1.937 0.053
Hyponatremia 3 days after surgery 39ï¼?36.1ï¼? 11ï¼?23.4ï¼? 2.934 0.121

Table 1. Comparison of the characteristics between the training and validation cohorts.

Statistical analysis

The data analysis was performed using SPSS 25.0 software. Patients were randomly divided into two groups: A training group (108 cases, 70%) and a validation group (47 cases, 30%). Continuous variables were expressed as mean ± standard deviation (xÌ? ± s), and differences between the two groups were compared using the t-test. Categorical variables were presented as case numbers, and intergroup comparisons were made using the chi- square test (χ2 test). Non-parametric tests were used for comparing ordinal data. Logistic regression analysis was conducted to determine independent risk factors in the training group. Differences were considered statistically significant when p-values were less than 0.05. The identified independent risk factors were then imported into R software (version 4.3.3) for analysis. Based on this, a nomogram predictive model was constructed for the training group. The predictive performance of this model was evaluated in the validation group by calculating the Area Under Curve (AUC), the Receiver Operating Characteristic (ROC) curve, calibration curve, and Decision Curve Analysis (DCA). These assessments were used to evaluate the predictive ability of the nomogram generated from the training group.

Results

The basic characteristics of the cases

The study retrospectively analyzed 155 patients who underwent endoscopic endonasal transsphenoidal resection of pituitary adenoma at the affiliated hospital of Xuzhou Medical University from January 2018 to May 2023. Among them, 50 patients (32%) developed delayed hyponatremia. These patients were randomly divided into a training group (108 cases) and a validation group (47 cases) at a ratio of 7:3. In the training group, 39 patients developed delayed hyponatremia, while in the validation group, there were 11 cases. A comparison of clinical data between the training and validation groups showed no significant differences (Table 1).

Univariate and multivariate logistic regression analysis of delayed hyponatremia

Comparison of univariate analysis between the delayed hyponatremia group (39 cases) and the normal sodium group (69 cases) in the training group revealed significant differences in pre- and postoperative prolactin levels, maximum tumor diameter, tumor volume, pre- and postoperative pituitary stalk deviation angle, pre- and postoperative elevation of the diaphragma sellae, tumor invasiveness, preoperative serum sodium levels, hyponatremia on the first 1-2 days postoperatively, and postoperative diabetes insipidus (P<0.05). Further logistic regression analysis identified preoperative hyperprolactinemia, higher preoperative elevation of the diaphragm sellae, and occurrence of hyponatremia on the first 1-2 days postoperatively as independent risk factors for delayed hyponatremia following transsphenoidal surgery in patients with pituitary adenoma (P<0.05) (Table 2)

Univariate annalysis Logistic regression analysis
Factors Delayed hyponatremia groupï¼?n=39ï¼? Normal sodium groupï¼?n=69ï¼? t /χ2/Z P Odds ratio 95ï¼?CI P
Preoperative PRL (ng/ml) 506.7ï¼?24.3ï¼?1897.5ï¼? 21.1ï¼?13.9ï¼?35.9ï¼? 5.28 0 1.01 1.003~1.018 0.005
Postoperative PRL (ng/ml) 111.9ï¼?10.6ï¼?323.3ï¼? 18.6ï¼?9.2ï¼?27.6ï¼? 3.682 0      
Maximum tumor diameterï¼?mmï¼? 34ï¼?26ï¼?41ï¼? 20ï¼?14ï¼?27ï¼? 5.536 0      
Tumor volumeï¼?cm³Ã¯Â¼? 10.0ï¼?5.4ï¼?16.5ï¼? 3.8ï¼?1.3ï¼?6.2ï¼? 5.149 0      
Preoperative pituitary stalk deviation angleï¼?°Ã¯Â¼? 45.6ï¼?40.1ï¼?56.4ï¼? 28.7ï¼?11.4ï¼?39.7ï¼? 5.663 0      
Postoperative pituitary stalk deviation angleï¼?°Ã¯Â¼? 24.1ï¼?17.6ï¼?32.8ï¼? 12.7ï¼?0.0ï¼?24.6ï¼? 3.691 0      
Preoperative elevation of the diaphragma sellaeï¼?mmï¼? 20ï¼?15ï¼?25ï¼? 8ï¼?5ï¼?15ï¼? 6.062 0 1.651 1.190~2.290 0.003
Postoperative elevation of the diaphragma sellaeï¼?mmï¼? 7ï¼?3ï¼?17ï¼? 3.0ï¼?0.0ï¼?8.0ï¼? 3.697 0      
Knosp grade
Grade 0~2
Grade 3~4
12ï¼?30.7ï¼?
27ï¼?69.3ï¼?
50ï¼?72.5ï¼?
19ï¼?27.5ï¼?
4.799 0      
Postoperative diabetes insipidus 49ï¼?45.4ï¼? 12ï¼?25.5ï¼? 4.929 0      
Preoperative sodium levelsï¼?mmol/Lï¼? 140.2ï¼?138.0ï¼?141.7ï¼? 141.3ï¼?139.7ï¼?142.3ï¼? 2.329 0.02      
Hyponatremia 1-2 days after surgery 32ï¼?29.6ï¼? 7ï¼?14.9ï¼? 5.434 0 32.65 2.188~487.280 0.011

Table 2. Univariate and multivariate Logistic regression analysis of delayed hyponatremia after transsphenoidal surgery for pituitary adenomas [n(%)].

Development of prediction model in the training cohort

Using R software (version 4.3.3), a predictive model was constructed based on the three variables selected from the logistic regression analysis conducted on the training set. This model is represented by a nomogram, which is used to estimate the likelihood of delayed hyponatremia occurrence after endoscopic transsphenoidal surgery for pituitary adenoma. The nomogram assigns a composite score based on the parameter values in the nomogram, which is then mapped to corresponding risk levels to estimate the risk of developing hyponatremia postoperatively (Figure 3).

medical-case-adenoma

Figure 3: Nomogram of delayed hyponatremia after transsphenoidal adenoma surgery. The predictor points can be found on the uppermost point scale that correspond to each patient variable and can be added up. The total points projected to the bottom scale indicate the risk of delayed hyponatremia. (For Hyponatremia 1-2 days after surgery, 0 means “No”, 1 means “Yes”).

Validation of the nomogram for delayed hyponatremia

External validation of the model was performed using data from the validation group comprising 47 patients. The area under the Receiver Operating Characteristic (ROC) curve for the nomogram model in the training set was 0.943 (95% CI 0.898-0.987), while in the validation set, it was 0.959 (95% CI 0.910-0.979) (Figure 4). These results indicate that the model has good discriminative ability on both internal and external data. In the calibration curve analysis, the predicted results of the model closely matched the observed outcomes in both groups, demonstrating a high level of fit (Figure 5). Additionally, DCA revealed that the application of this model within the threshold range of 0.01 to 0.93 (training group) and 0.01 to 0.87 (validation group) could lead to improved clinical utility, indicating its practical value in the clinical setting (Figure 6).

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Figure 4: The ROC curves of the nomogram model (Left: Training set, Right: Validation set).

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Figure 5: The calibration curves of the nomogram model (Left: Training set, Right: Validation set).

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Figure 6: The DCA (Decision Curve Analysis) curves (Left: Training set, Right: Validation set).

Discussion

Delayed Postoperative Hyponatremia (DPH) is a common complication following endoscopic endonasal Transsphenoidal Surgery (TSS) for pituitary adenoma and is a leading cause of unplanned readmission within 30 days postoperatively [11]. Studies suggest that the primary cause may be Syndrome of Inappropriate Antidiuretic Hormone Secretion (SIADH) [12], with Cerebral Salt-Wasting Syndrome (CSWS) being a rare cause in some cases [13].

Manipulation of the pituitary stalk and posterior pituitary during surgery may lead to uncontrolled release of Antidiuretic Hormone (ADH) [14]. This study investigated the risk factors for DPH after pituitary adenoma surgery and identified preoperative hyperprolactinemia, higher preoperative elevation of the diaphragma sellae, and occurrence of hyponatremia on the first 1-2 days postoperatively as independent risk factors for DPH following TSS in patients with pituitary adenoma. The establishment and validation of a risk prediction model based on these findings hold significant clinical relevance for the prevention of DPH. Huang et al. [15] demonstrated that preoperative hyperprolactinemia is an independent risk factor for delayed hyponatremia following endoscopic transsphenoidal surgery for non-functioning pituitary adenomas. Our study shares a similar viewpoint. Although the hypothalamus can secrete PRL inhibitory and releasing factors, it primarily suppresses PRL secretion through the release of inhibitory factors such as dopamine and gamma-aminobutyric acid [16]. Mechanical compression of the pituitary stalk by pituitary adenomas can lead to a so-called "stalk effect” or "pituitary stalk compression syndrome" resulting in decreased dopamine release and corresponding increase in PRL [17]. During tumor resection, the close proximity of the tumor to the pituitary stalk makes it more susceptible to interference or damage, leading to uncontrolled release of ADH. In Lin's study [10, 18], the descent of the diaphragma sellae is of significant importance in predicting the occurrence of DPH. In our study, preoperative elevation of the diaphragma sellae was found to be associated with DPH after TSS. High preoperative elevation of the diaphragma sellae during surgery leads to a rapid decrease in intrasellar pressure and a rapid reduction in tumor cavity height after tumor resection, resulting in passive traction of the pituitary stalk during surgery and mechanical injury, which may trigger the occurrence of SIADH. Similarly, changes in the pituitary stalk deviation angle can also predict the occurrence of DPH after TSS [19-21]. The more pronounced the changes in the pituitary stalk, the greater the likelihood of pituitary stalk injury. However, in our study, the pituitary stalk deviation angle was not identified as an independent risk factor for DPH. This may be due to the use of gelatin sponge packing in the tumor cavity and artificial dura reconstruction at the sellar floor during surgery, which takes approximately 4-6 weeks to be completely absorbed by the body [22]. As a result, changes in the pituitary stalk may not be significant when pituitary MRI was performed approximately 3 days postoperatively. In our study, patients who developed hyponatremia on the first 1-2 days postoperatively had an approximately 32.6-fold increased risk of DPH[23] found that patients with serum sodium concentration <138 mmol/L within 1-2 days after TSS had approximately 2.8 times higher risk of developing delayed hyponatremia, and similar results[24] were reported. Therefore, close monitoring of early postoperative serum sodium levels in TSS patients is crucial to identify the etiology of hyponatremia, implement preventive measures promptly, and reduce the risk of delayed hyponatremia.

In statistics, an AUC value of 0.70 to 0.79 was considered acceptable for predictive models, while a value of 0.80 to 0.89 indicates excellent predictive performance [25]. The predictive model constructed in our study achieved AUC values of 0.943 and 0.959 in the two groups, respectively, demonstrating excellent discriminative ability for predicting delayed hyponatremia after surgery. The calibration curves showed high consistency between the predicted and observed outcomes within a certain range, with a slope close to 1. Additionally, the DCA curves in both groups indicated that adopting relevant preventive measures for high-risk patients could lead to better clinical benefits within a larger threshold range, demonstrating good clinical utility. Although this study has incorporated relatively comprehensive and thorough clinical information, it is limited by being a single-center study with a limited sample size, and the model has not been validated in other centers. Therefore, our next step will be to conduct a broader, multicenter study to further refine the fitted model and validate it using data from external institutions, thereby expanding the applicability of the model.

Conclusion

This study utilized three key indicators: Preoperative prolactin levels, preoperative elevation of the diaphragma sellae, and postoperative hyponatremia on the first 1-2 days to construct a nomogram predictive model for predicting delayed hyponatremia after endoscopic transsphenoidal surgery for pituitary adenoma. This model has good reference value for early identification of high-risk patients, and it can help reduce the incidence of postoperative delayed hyponatremia and improve patient outcomes.

Funding

This project was supported by the National Natural Science Foundation of China (Grant No.82002632).

Conflict of Interest

The authors have no conflict of interest.

Informed Cosent

With the consent of the Ethics Committee of the affiliated Hospital of Xuzhou Medical University, all patients were exempted from informed consent (XYFY2023-KL250-01).

References