Factors Associated With Mild Cognitive Impairment in Patients With Type 2 Diabetes: A Cohort Study.

Background Cognitive dysfunction is increasingly recognized as an important comorbidity of diabetes mellitus (DM). Objective The purpose of this study was to determine the prevalence and predictors of cognitive decline in individuals with type 2 diabetes mellitus (T2DM). Methods This cohort study included patients with type 2 diabetes mellitus aged between 40 and 75 years and with a duration of the evolution of diabetes that is greater than five years admitted in endocrinology consultation of the Sheikh Khalifa ibn Zaid Hospital in Casablanca, Morocco. For each patient, we collected clinical characteristics and biological assessments. All subjects provided screening test results as defined by the Mini-Mental State Examination (MMSE). Results We included a total of 100 patients with diabetes between May and September 2021. The median age of the patients was 65 years (interquartile range (IQR): 59-70 years), 65% were males, and the median duration of diabetes was 15 years (IQR: 9-20 years). The most common cardiovascular risk factors (CVRFs) were hypertension (72.7%) and dyslipidemia (53%). The most common complications of diabetes were peripheral neuropathy (50%), diabetic retinopathy (DR) (39%), peripheral artery disease (33%), and coronary artery disease (27%). Cognitive impairment was present in 47.5% of our patients. For the multivariate analysis, we found that the decrease in the MMSE score is associated with the increase in age (p-value = 0.004) and the occurrence of diabetic retinopathy (p-value < 0.001), dyslipidemia (p-value = 0.006), and elevated creatinine (p-value < 0.001). Conclusion It is necessary to consider the cognitive decline of patients with diabetes as one of the most important complications of this disease because of its impact on the evolution and compliance of these patients.

Have we forgotten the non-COVID-19 diabetic patients? Impact of lockdown on daily life, sleep and mental health: cross-sectional study in Moroccan diabetic patients.

The main objective of this work is to describe the impact of lockdown on daily life, sleep and the mental health of Moroccan diabetics patients. The secondary objective is to study the factors affecting compliance with lockdown and deterioration of sleep in diabetic patients while lockdown. It´s a cross-sectional study including diabetic patients followed up at the Endocrinology department of Casablanca. Patients answered a questionnaire about Socio-demographic characteristics, Sleep-related characteristics and predominant activities during the lockdown. The psychological impact was assessed by the score of Anxiety and Depression Assessment Scale (HDAS). Statistical analysis was carried out using SPSS 20 software. Bedtime was shifted by 53 minutes during the lockdown. Waking time was also 1 hour 18 minutes later, while sleep duration increased from 8 hours 20 minutes before lockdown to 8 hours 30 minutes during it (p=0.24) with a deterioration in sleep quality reported by 53 patients. Sleep deterioration was not correlated with anxiety or duration of screen exposure, but was more related to age between 50 and 65 years old. HAD score showed anxiety in 29 patients which were correlated to the female gender. The study included 100 patients with an average age of 48 years. 38 patients had a professional activity before lockdown, 5 of them kept working face-to-face, 3 teleworked and 30 were unemployed. Only 59 % of them respected lockdown. This respect was correlated with female gender, educational level and the number of members under the same roof when it is more than 6. Deterioration in sleep, a change in bedtime and waking time and an increase in anxiety was observed in diabetic patients during the lockdown. Therefore, the psychiatric care system needs to adapt to provide psychological support not only to infected persons but also to other vulnerable communities including diabetic patients.

Ramadan and Diabetes: What About Non-Fasting Patients with Diabetes?

Background: The management of diabetes during Ramadan is well codified. International guidelines recommend avoiding fasting for patients with the risk of complications. However, during Ramadan drastic changes occur in lifestyles habits. Our study aims to evaluate the impact of the month of Ramadan on the lifestyle habits and metabolic profile of non-fasting patients with diabetes. Patients and Methods: This observational cross-sectional study was carried out during 3 months of Ramadan in 2018, Ramadan 2019, and Ramadan 2021. We conducted 3 consultations (before, during, and after Ramadan). Before Ramadan, we collected anthropometric and metabolic parameters, and we assessed physical activity level and dietary intake. During Ramadan, we evaluated the occurrence of complications such as hyperglycemia and hypoglycemia, as well as we assessed physical activity level, dietary intake, and the number of meals. After Ramadan re-evaluate anthropometric and metabolic parameters. Results: We included 155 patients, 93.5% had type 2 diabetes and 6.5% had type 1 diabetes. We found that glycated hemoglobin, LDL cholesterol, and Triglyceride increased significantly after Ramadan (p-value <0.001). We also found that weight, body mass index, waist circumference. Caloric intake increased significantly during Ramadan (p-value <0.001); this increase concerned 61.3% of patients. In terms of metabolic parameters, diabetes was unbalanced in 52.6% of patients, hypoglycemia occurs in 20.9% of patients, and hyperglycemia was experienced by 37% of patients during Ramadan. We found that LDL cholesterol increased in 48.4% of patients, triglycerides increased in 60.6% of patients and serum level of total cholesterol increased in 55% of patients. Conclusion: Our study showed that during Ramadan risk of complications in patients with diabetes is not only related to fasting.

Predicting poor glycemic control during Ramadan among non-fasting patients with diabetes using artificial intelligence based machine learning models.

AIMS: This study aims to predict poor glycemic control during Ramadan among non-fasting patients with diabetes using machine learning models. METHODS: First, we conducted three consultations, before, during, and after Ramadan to assess demographics, diabetes history, caloric intake, anthropometric and metabolic parameters. Second, machine learning techniques (Logistic Regression, Support Vector Machine, Naive Bayes, K-nearest neighbor, Decision Tree, Random Forest, Extra Trees Classifier and Catboost) were trained using the data to predict poor glycemic control among patients. Then, we conducted several simulations with the best performing machine learning model using variables that were found as main predictors of poor glycemic control. RESULTS: The prevalence of poor glycemic control among patients was 52.6%. Extra tree Classifier was the best performing model for glycemic deterioration (accuracy = 0.87, AUC = 0,87). Caloric intake evolution, gender, baseline caloric intake, baseline weight, BMI variation, waist circumference evolution and Total Cholesterol serum level after Ramadan were selected as the most significant for the prediction of poor glycemic control. We determined thresholds for each predicting factor among which this risk is present. CONCLUSIONS: The clinical use of our findings may help to improve glycemic control during Ramadan among patients who do not fast by targeting risk factors of poor glycemic control.

Treatment of Graves' Disease Associated With Severe Neutropenia.

Severe neutropenia in newly diagnosed hyperthyroidism is a diagnostic and therapeutic dilemma since antithyroid drugs (ATDs) cannot be started if the absolute neutrophil count (ANC) is <1 x 109/L. We report the case of a patient followed for hyperthyroidism associated with severe neutropenia treated with dexamethasone and ATD. The patient was 51 years old and was hospitalized for hyperthyroidism with a thyroid stimulating hormone (TSH) level <0.005 (0.4-4) mUI/L, T4 at 415 (9.3-17.1) ng/L and T3 at 148 (2-4.4) pg/mL on Graves' disease (GD) confirmed by the TSH receptor antibodies at 38 IU/mL and scintigraphy, associated with neutropenia, with ANC at 0.4 x 109/L. He was put on prednisolone 60 mg/day and propranolol 60 mg/day for three weeks without improvement. Faced with the association of hyperthyroidism and severe neutropenia, we could not start the ATD for fear of agranulocytosis; we put the patient on propranolol 60 mg and dexamethasone 6 mg with progressive degression resulting in a spectacular increase of ANC from 0.4 x 109/L to 7.1 x 109/L, which allowed us to start the ATD (carbimazole) at a dose of 30 mg, and then 50 mg, with monitoring of ANC and transaminases every 48 hours. Euthyroidism was achieved after 15 days. A curative treatment with radioactive iodine ablation was administered. Our patient did not respond to prednisolone but responded dramatically to dexamethasone; this leads us to consider using dexamethasone for the rapid preparation for radical treatment of patients with GD.

Diabetes During the Fasting Month of Ramadan: Is Telemedicine as Efficient as Conventional Follow-Up? Results from a Moroccan Comparative Study.

AIM: During the COVID-19 pandemic, access to health care was affected by the lockdown period. To overcome this situation, telemedicine is an alternative to conventional follow-up for patients with diabetes during the fasting month of Ramadan. The aim of this study is to compare the effectiveness of telemedicine consultation of diabetic patients during Ramadan compared with conventional follow-up. METHODS: This comparative cross-sectional study conducted in the Sheikh Khalifa Ibn Zaid Hospital of Casablanca, Morocco, included diabetic patients followed up by conventional consultation in 2019 Ramadan and by telemedicine in 2020 Ramadan. For each patient and in both Ramadans (2019 and 2020), we have conducted a pre-Ramadan assessment, screening for acute diabetic complications during Ramadan and an evaluation of weight and glycated hemoglobin of patients, after Ramadan. We compared the occurrence of acute complications and the variation of metabolic parameters of patients in Ramadan 2020 with their results in Ramadan 2019. RESULTS: In this study, we included 61 patients. In Ramadan 2020, compared with Ramadan 2019, there was no significant difference in terms of hypoglycemia (18.03% versus 32.78%, p = 0.09), minor hyperglycemia (13.1% versus 11.47%, p = 0.35) and major hyperglycemia or ketoacidosis (3.27% versus 6.55%, p = 0.19). Fasting was interrupted in 8.19% versus 11.47% (p = 0.012). There were no significant variations of weight (+0.62 versus -0.77; p = 0.09). In term of variation of glycated hemoglobin, there was a significant different between Ramadan 2020 and Ramadan 2019 (-0.36 versus -0.61 in 2019, p<0.05). CONCLUSION: Despite comparable results in terms of weight change and hypoglycemia, our study showed that telemedicine follow-up in patients with diabetes during Ramadan did not provide as effective glycemic control as conventional monitoring.

COVID-19: Patient care after discharge from the Intensive Care Unit.

INTRODUCTION: The Ibn Rochd CHU is a tertiary care structure that provides care for the most severe cases of COVID-19 requiring hospitalisation in intensive care. The objective of study is to describe the complementary medical and psychological care of patients with COVID-19 in the endocrinology department after a stay in intensive care. PATIENTS AND METHODS: This is a descriptive observational study of patients transferred from the intensive care unit to the endocrinology service following a COVID-19 infection during the period from 17 April 2020 to May 26, 2020. Clinical characteristics of the patients and complications related to COVID-19 infection were studied; a nutritional assessment using the MNA nutritional status assessment questionnaire; psychological assessment using quality-of-life questionnaires (Hamilton depression and anxiety, HAD, SF36, PCLS); a treatment satisfaction questionnaire (TQCMII) and an assessment of patient autonomy by the ADL score. RESULT: Our study included 41 patients with an average age of 55 years (19-85 years), a sex ratio M/F of 1.05, 43.9% were diabetic, 34.1% hypertensive, 4.9% asthmatic and 5% obese, and 51.2% were severe and critical cases. The average ICU stay is 8.42 days, requiring intubation in 12.2% of cases. All patients were treated with the Hydroxychloroquine, Azithromycin, vitamin C, zinc and corticosteroid protocol, 14.6% had undernutrition and 65.9% had a risk of undernutrition. The average BMI was 25.34 kg/m2 (17-42), 61% had experienced weight loss, which was greater than 8 kg in 26.1% of cases, 12.2% of patients were not autonomous, 12.2% had moderate depression, 2.4% severe depression, 14.6% mild to moderate anxiety, 12.2% severe anxiety and 29.3% suffered acute post-traumatic stress disorder. CONCLUSION: Patients with COVID-19 are, in addition to the complications from coronavirus infection, vulnerable to undernutrition, psychological and motor complications. Additional care before discharge is essential for better integration of patients into their families.

Pituitary Apoplexy in Geriatric Patients: A Report of Four Cases.

Pituitary apoplexy (PA) is a rare clinical syndrome related to abrupt hemorrhage and/or infarction of the pituitary gland, usually occurring in patients with preexisting pituitary disease. It is an endocrine emergency requiring rapid diagnosis and appropriate management. This is a literature review and a retrospective study reporting the observation of four patients that have suffered from pituitary macroadenomas. These observations illustrate the particularities of this pathology in the elderly. The symptoms may be truncated and lead to a late diagnosis with its repercussions on management, without forgetting the particularity of the fragile and multisystemic terrain, which may contraindicate the usual surgical treatment. A rapid diagnosis and appropriate management can limit the occurrence of irreversible complications.