Influence of Parathyroidectomy on Sleep Quality in Primary Hyperparathyroidism

Asymptomatic Primary Hyperparathyroidism: A Misnomer

Primary hyperparathyroidism (PHPT) is an endocrine disorder marked by elevated secretion of parathyroid hormone (PTH), which results in hypercalcemia and may cause complications in the kidneys and bones. Diagnosing this condition involves ruling out secondary causes and understanding the complexities of the laboratory values associated with PHPT. The disease has become more recognizable to clinicians in an earlier phase thanks to updated screening guidelines. At present, patients can be diagnosed with "classic," "normocalcemic," "normohormonal," or "asymptomatic" PHPT. Many patients are diagnosed through incidental findings of elevated calcium levels or PTH levels during routine blood tests rather than through the presentation of classic symptoms. If asked, patients will invariably harbor subtle or subclinical manifestations despite the absence of overt symptoms. There is debate on whether truly asymptomatic hyperparathyroidism exists.1 We explore the definition and clinical patterns of asymptomatic hyperparathyroidism and propose concise recommendations for recognizing these patients.

Improvement of mood and sleep quality in patients with primary hyperparathyroidism after parathyroidectomy: A prospective case-control study

BACKGROUND

Primary hyperparathyroidism can impact patient quality of life with psychopathological symptoms like mood and sleep disturbances. In the latest recommendations published according to the primary hyperparathyroidism surgical consensus, these neuropsychological symptoms continue to be excluded. This study aims to assess the negative effects of mood and sleep on patients with primary hyperparathyroidism compared to healthy controls and analyze their improvement after surgery.

METHODS

Prospective case-control study of patients with primary hyperparathyroidism. The Beck questionnaire and Pittsburgh Sleep Quality Index were used. The control group consisted of healthy people matched by age and sex. Preoperative results were compared with results at 3 and 12 months after surgery and compared with the control group. Statistical analysis consisted of the Kolmogorov-Smirnov test and Student's t test for correlations.

RESULTS

Forty-nine patients who underwent parathyroidectomy were analyzed. In relation to depression, differences were observed between the results of the preoperative period and 3 months after surgery, with a significant decrease in depression score (16.80 ± 9.98 vs 13.08 ± 10.76; P = .001). This improvement was maintained after 1 year (P < .001). Regarding the quality of sleep, there were no differences 3 months after the intervention, but there were differences at 12 months (9.48 ± 4.76 vs 8.27 ± 4.38; P = .032). The dimensions of the Pittsburgh Sleep Quality Index were analyzed, observing significant differences only in daytime dysfunction after 3 months and 12 months after surgery (1.02 ± 0.99 vs 0.69 ± 0.82; P = .01 and 1.04 ± 0.98 vs 0.60 ± 0.76; P = .004).

CONCLUSION

Mood changes and sleep quality improve after primary hyperparathyroidism surgery, although at different postoperative times, with this improvement being more pronounced in mood. This assessment should be taken into account in the preoperative consultation of patients with primary hyperparathyroidism.

Prediction Model of Postoperative Severe Hypocalcemia in Patients with Secondary Hyperparathyroidism Based on Logistic Regression and XGBoost Algorithm

Objective

A predictive model was established based on logistic regression and XGBoost algorithm to investigate the factors related to postoperative hypocalcemia in patients with secondary hyperparathyroidism (SHPT).

Methods

A total of 60 SHPT patients who underwent parathyroidectomy (PTX) in our hospital were retrospectively enrolled. All patients were randomly divided into a training set (n = 42) and a test set (n = 18). The clinical data of the patients were analyzed, including gender, age, dialysis time, body mass, and several preoperative biochemical indicators. The multivariate logistic regression and XGBoost algorithm models were used to analyze the independent risk factors for severe postoperative hypocalcemia (SH). The forecasting efficiency of the two prediction models is analyzed.

Results

Multivariate logistic regression analysis showed that body mass (OR = 1.203, P = 0.032), age (OR = 1.214, P = 0.035), preoperative PTH (OR = 1.026, P = 0.043), preoperative Ca (OR = 1.062, P = 0.025), and preoperative ALP (OR = 1.031, P = 0.027) were positively correlated with postoperative SH. The top three important features of XGBoost algorithm prediction model were preoperative Ca, preoperative PTH, and preoperative ALP. The area under the curve of the logistic regression and XGBoost algorithm model in the test set was 0.734 (95% CI: 0.595~0.872) and 0.827 (95% CI: 0.722~0.932), respectively.

Conclusion

The predictive models based on the logistic regression and XGBoost algorithm model can predict the occurrence of postoperative SH.