OBJECTIVE

This study determined the incidence of perioperative complications associated with routine preoperative glucocorticoid use in patients undergoing pituitary surgery with normal preoperative hypothalamo-pituitary-adrenal axis (HPA axis).

METHODOLOGY

From 2011-2021 retrospective chart review, 243 patients undergoing pituitary surgery with normal preoperative HPA axis were analyzed into 2 groups: 1) with preoperative steroids and 2) without preoperative steroids.  Development of postoperative complications was subsequently evaluated.

RESULTS

Incidence of primary composite postoperative complications of in-hospital mortality, postoperative infection and postoperative diabetes insipidus (DI) was significantly increased among those who had preoperative steroids compared to those without (58.33% versus 33.33%, p-value 0.004)  with an adjusted odds ratio of 2.90 (CI 1.29 to 6.53, p-value 0.010). Among the components of the composite outcome, post-operative DI was statistically higher among those who were given preoperative steroids (52.45% versus 28.21%, p-value 0.006) with an adjusted OR of 3.31 (CI 1.43 to 7.67, p-value 0.005). The incidence of postoperative adrenal insufficiency was similar between the 2 groups (20.15% with steroids versus 8.70% without steroids, p-value 0.258).

CONCLUSION

Among patients with normal preoperative HPA axis, the routine use of preoperative steroids is associated with an increased risk of composite postoperative complications (in-hospital mortality, postoperative infection and postoperative DI). Steroid-sparing protocol is not associated with an increased risk of postoperative AI. The findings will encourage more rational use of steroids and minimize preventable complications.

Human ; Pituitary-adrenal System ; Pituitary Gland ; Postoperative Complications ; Glucocorticoids ; Steroids

Editorial ; Abstracting And Indexing

OBJECTIVES

In Asia, younger individuals (below age 45) are diagnosed to have type 2 diabetes with increased rates of obesity defined by lower BMI yet with greater visceral adiposity (waist circumference and waisthip ratios). The prevalence data on type 1 diabetes is not well established, considered to be low, but is seen to be increasing as well. This changing phenotype therefore, presents a clinical dilemma in terms of correctly classifying diabetes and deciding on the consequent appropriate treatment. Distinguishing type 1 from type 2 diabetes has become more difficult with type 2 diabetes dramatically increasing in young adults and children. This study aims to define the characteristics of diabetes among young adults in the Philippines to provide a basis for appropriate management amidst changes in diabetes phenotypes seen globally.

METHODS

In this cross-sectional analytic study, we characterized the demographic, metabolic, and autoimmune features of diabetes among young adult Filipinos aged 18 to 45 years old consulting at a tertiary referral center in Manila, Philippines. Baseline serum A1c, FBS, 75-g oral glucose tolerance test, insulin, serum C-peptide, insulin autoantibodies, leptin, adiponectin, lipid profile, and thyroid function tests were obtained from the participants and analyzed. The homeostasis model assessment (HOMA) was used to estimate the insulin sensitivity.

RESULTS

A total of 348 patients with diabetes were included, with females comprising two-thirds of the participants. The mean age at diagnosis of diabetes was 35.9±7.22 years. The mean BMI was 28.12 kg/m2, with median waist to hip ratio (WHR) of 0·93. Metabolic syndrome was found in 60% of participants and 67.82% were obese by body mass index. The mean A1c was 9.07±2.52%. Good glucose control (A1c less than 7.0%) was seen in 23% of participants  while nearly half (48%) had HbA1c which was >9.0%. The median levels of fasting insulin and C-peptide were 12.62 (range 1.33–90.42) mIU/L and 0.78 ng/mL (range 0–16.2), respectively. 

Included participants were diagnosed with diabetes within a year and as such, majority did not have any micro- or macrovascular complications. The most common diabetes complication was sensory neuropathy detected by monofilament testing, which was found in 28% of participants, followed by non-proliferative diabetic retinopathy in 13%. A history of previous diabetic ketoacidosis was found in 10 patients (2.87%). Glutamic acid decarboxylase (GAD) and insulin auto-antibodies were found in 3.2% and 19.3% of participants, respectively. Approximately half (51.73%) of the participants were insulin resistant by HOMA-IR.

CONCLUSION

In contrast with Caucasians and other Asians, diabetes among young Filipino adults is associated with lower BMI but with a similarly high visceral adiposity as shown by an elevated WHR. Metabolic syndrome with insulin resistance as defined by a variety of indices is predominant. Type 1 diabetes with autoantibodies occur in only a small fraction of this population. Data derived from this work can provide a framework for cluster analysis towards personalized management specific to this population.

Human ; Acids ; Adiponectin ; Adiposity ; Adult ; Aged ; Antibodies ; Asia ; Asian ; Asian Continental Ancestry Group ; Autoantibodies ; Body Mass Index ; C-peptide ; Carboxy-lyases ; Child ; Cluster Analysis ; Demography ; Diabetes Complications ; Diabetes Mellitus ; Diabetes Mellitus, Type 1 ; Diabetes Mellitus, Type 2 ; Diabetic Ketoacidosis ; Diabetic Retinopathy ; Diagnosis ; Fasting ; Female ; Glucose ; Glucose Tolerance Test ; Glutamate Decarboxylase ; Glutamic Acid ; Insulin ; Insulin Resistance ; Ketosis ; Leptin ; Lipids ; Metabolic Syndrome ; Obesity ; Patients ; Peptides ; Phenotype ; Philippines ; Population ; Prevalence ; Serum ; Therapeutics ; Thyroid Gland ; Thyroid Function Tests ; Young Adult

Human ; Editorial

Human ; Endocrinology

OBJECTIVE

This study aimed to determine the association between Asia-Pacific classification of body mass index, waist circumference and waist hip ratio and clinical outcomes of COVID-19 moderate & severe patients at the height of the COVID-19 pandemic.

METHODS

A This study involved adult patients diagnosed with COVID-19. 182 patients were analyzed and divided into 167 moderate and 15 severe COVID-19 patients. Primary outcomes (respiratory decompensation, septic shock, and mortality) of patients were compared among Asia Pacific BMI groups.

RESULTS

Among patients with moderate and severe COVID-19, 7 out of 10 patients were obese. Respiratory decompensation and sepsis were more frequently seen in obese patients. Obesity and waist circumference were significantly associated with the odds of respiratory decompensation (95% CI p=0.010 and p=0.002), however this association was not sustained upon adjustment for confounders. On univariate analysis, waist and hip circumferences were significantly associated with the odds of ICU admission (95% CI, p=.013 and p=.034), however after controlling for confounders, only hip ratio retained significant association. Among patients with severe COVID-19, there was insufficient evidence to support significant variations in distributions of outcomes of interest across Asia-Pacific BMI groups.

CONCLUSION

Our study emphasized that although respiratory decompensation and sepsis were more frequently seen in obese patients. progression of respiratory decompensation and mortality is not significantly associated with obesity as defined by the Asia Pacific BMI classification, warranting the need for larger prospective studies.

Human ; Body Mass Index ; Obesity ; Covid-19

Human ; Behavior ; Diabetes Mellitus ; Diabetes Mellitus, Type 2 ; Diabetic Foot ; Foot Ulcer

Twenty-six years earlier in their famous chess rematch, an IBM Supercomputer called Deep Blue defeated then-world chess champion Garry Kasparov: it was the first-ever chess match won by a machine, a much celebrated milestone in the field of Artificial Intelligence. Just last year, the World Association of Medical Editors released the “WAME Recommendations on Chatbots and Generative Artificial Intelligence in Relation to Scholarly Publications,” a recognition of not just the expanding applications of AI in scholarly publishing but more so of the accompanying emergence of concerns on authenticity and accuracy. In recognition of this relevant topic, our Vice Editor in Chief, Dr. Cecile Jimeno, provided a well-attended and interesting talk during the last ASEAN Federation of Endocrine Society Convention in Thailand on the “Emerging Issues on the Use of Artificial Intelligence for Scientific Publications.”
Artificial Intelligence

Objective: A diabetes prevention program is being proposed in the rural agricultural town of San Juan, Batangas, Philippines. This study aims to determine the prevailing level of food intake, physical activity, and health beliefs prior to any intervention. Methodology: Adults were recruited via random sampling with proportional allocation. Interviews were done to determine food intake and physical activity. Small group discussions were held to determine prevailing health beliefs. Results: The average energy intake (1,547 kcal/d) is only 72% of the recommended values for Filipinos. Only 12% of the respondents achieved the recommended energy intake. Carbohydrates comprise a large part (71%) of calorie intake. A majority (91%) already have moderate to high levels of physical activity. There are prevailing health beliefs that need to be considered when dietary modifications and physical activity interventions are to be done. Conclusion Internationally recommended diabetes prevention interventions such as reducing calorie intake and increasing physical activity may not be directly applicable here. We recommend that the features of a diabetes prevention program for this locale must include the following: 1) introduction of affordable plant sources of proteins; 2) decreasing the proportion of rice as a source of carbohydrates in the diet; 3) maintaining the level of physical activity; and 4) being sensitive to the prevailing health beliefs.
Culture ; Diet ; Life Style ; Prediabetic State ; Rural Population

OBJECTIVE

This study aims to describe the epidemiologic profile and determine the clinical outcomes of patients with pheochromocytoma at the University of the Philippines Philippine General Hospital (UP-PGH).

METHODOLOGY

We reviewed the medical records of 30 patients with histopathology-proven, clinical, and biochemical diagnosis of pheochromocytoma. Demographic, clinical characteristics, and clinical outcomes were collected for each patient.

RESULTS

The median age at diagnosis of pheochromocytoma was 37.5 years (IQR 28-55) and the most common metabolic comorbidities were glucose intolerance (60%) and hypertriglyceridemia (23.3%). Majority of the patients were hypertensive (90%). Two third of the patients presented with classic features of pheochromocytoma while the remaining third presented as adrenal incidentaloma. Recurrence was found in 17% of subjects, who were significantly younger (25 years vs 46.5 years P = 0.0229), and had higher rates of bilateral pheochromocytoma (0 vs 75%), p = 0.002). Metastatic pheochromocytoma was found in 10% of the subjects.

CONCLUSION

Our study demonstrated that patients with pheochromocytoma in our setting exhibit great variability in terms of clinical behavior. Although majority of the patients presented with symptoms related to catecholamine excess, almost one-third of the patients were only incidentally discovered. Incidence of pheochromocytoma recurrence and metastasis in our setting are comparable with current available foreign studies.

Human ; Pheochromocytoma ; Recurrence ; Metastasis ; Neoplasm Metastasis