BACKGROUND: Determining risk factors for diabetes insipidus (DI) after pituitary surgery is important in improving patient care. Our objective is to determine the factors associated with DI after pituitary surgery. METHODS: We reviewed records of patients who underwent pituitary surgery from 2011 to 2015 at Philippine General Hospital. Patients with preoperative DI were excluded. Multiple logistic regression analysis was performed and a predictive model was generated. The discrimination abilities of the predictive model and individual variables were assessed using the receiving operator characteristic curve. RESULTS: A total of 230 patients were included. The rate of postoperative DI was 27.8%. Percent change in serum Na (odds ratio [OR], 1.39; 95% confidence interval [CI], 1.15 to 1.69); preoperative serum Na (OR, 1.19; 95% CI, 1.02 to 1.40); and performance of craniotomy (OR, 5.48; 95% CI, 1.60 to 18.80) remained significantly associated with an increased incidence of postoperative DI, while percent change in urine specific gravity (USG) (OR, 0.53; 95% CI, 0.33 to 0.87) and meningioma on histopathology (OR, 0.05; 95% CI, 0.04 to 0.70) were significantly associated with a decreased incidence. The predictive model generated has good diagnostic accuracy in predicting postoperative DI with an area under curve of 0.83. CONCLUSION: Greater percent change in serum Na, preoperative serum Na, and performance of craniotomy significantly increased the likelihood of postoperative DI while percent change in USG and meningioma on histopathology were significantly associated with a decreased incidence. The predictive model can be used to generate a scoring system in estimating the risk of postoperative DI.
Area Under Curve ; Craniotomy ; Diabetes Insipidus* ; Discrimination (Psychology) ; Hospitals, General ; Humans ; Incidence ; Logistic Models ; Meningioma ; Neuroendocrinology ; Neurosurgery ; Patient Care ; Postoperative Complications ; Risk Factors ; Specific Gravity ; Vasopressins

BACKGROUND: Periodontitis affects more than half of patients with diabetes. In resource poor areas in the Philippines, access to routine dental visits may be difficult and thus, a selective approach might be needed to identify those who need dental evaluation and management. An easy-to-administer oral health self-report questionnaire was developed in order to predict serious (moderate to severe) periodontitis.
OBJECTIVE: The study aims to determine the validity of the Oral Health Screening Questionnaire for Persons with Diabetes (OHSQPD) in estimating the prevalence of serious periodontitis.
METHODOLOGY: A cross-sectional criterion-referenced study of 175 participants with T2DM were included in the study. They were asked to answer the questionnaire and then made to undergo a full dental examination to identify the presence and severity of periodontitis. The validity of the questionnaire was assessed by determining the sensitivity, specificity, positive predictive value, negative predictive value and area under the receiver-operating curve (AUROC) with the dental examination as the gold standard.
RESULTS: Using the questionnaire, the prevalence of serious periodontitis was 61% (106) based on an optimal cut-off score of ?12. At this score, the questionnaire yielded a sensitivity of 80.4% and a specificity of 70.6%, with an AUROC of 0.83.
CONCLUSION: The OHSQPD is a valid tool in detecting serious periodontitis

Human ; Male ; Female ; Aged 80 And Over ; Aged ; Middle Aged ; Adult ; Questionnaires ; Diabetes Mellitus ; Periodontitis ; Oral Health ; Philippines