Abstract Pituitary adenomas are common intracranial tumors that can be classified based on their hormonal activity and size. While microadenomas are more frequent, macroadenomas often present with significant clinical manifestations due to hormone excess or mass effects. In older populations, diagnosis is often delayed as physical changes may be subtly attributed to normal aging. A 61-year-old woman presented with progressively coarsening facial features and enlargement of the hands and feet. Physical examination confirmed acral enlargement, and the patient reported persistent headaches and a history of hypertension. Laboratory investigations revealed significantly elevated levels of growth hormone (GH) at 18.9 ng/mL and insulin-like growth factor-1 (IGF-1) at 865.6 ng/mL. Other pituitary functions, including prolactin and morning cortisol, were within normal limits. Magnetic resonance imaging (MRI) identified a 1.3 × 2.5 × 1.0 cm pituitary macroadenoma. The patient subsequently underwent successful endonasal endoscopic transsphenoidal surgery for tumor resection. This case underscores the necessity of maintaining a high index of suspicion for acromegaly in elderly patients presenting with unexplained acral and facial changes. Comprehensive endocrine evaluation and advanced imaging are critical for achieving an accurate diagnosis and ensuring timely surgical intervention to prevent disease progression.
Acromegaly ; Pituitary Macroadenoma ; Growth Hormone ; IGF-1 ; Transsphenoidal Surgery ; Endocrinology ; Elderly Care

Objectives: To identify the right interventions for the right heart failure (HF) patients in the real-world setting using machine learning (ML) trained on individual-level clinical data linked with social determinants of health (SDOH) data. Methods: In this retrospective cohort study, point-of-care claims data from Komodo Health and SDOH data from the National Health and Wellness Survey (NHWS), from January 2014–December 2020, were linked. Data mining was conducted using K-means clustering, an ML tool. Komodo Health data were used to access longitudinal data for the selected patient cohorts and crosssectional data from NHWS for additional patient information. The primary outcome was HF-related hospitalizations; secondary outcomes, all-cause hospitalization and all-cause mortality. Use of digital healthcare (DHC)on-DHC interventions and related outcomes were also assessed. Results: The study population included 353 HF patients (mean age, 63.5 years; 57.2% women). The use of non-DHC (75.9%–81.9%) and DHC (4.0%–9.1%) interventions increased from baseline to followup. Overall, 17.0% of patients had HF-related hospitalizations (DHC, 6.9%; non-DHC, 16.5%) and 45.0% had all-cause hospitalization (DHC, 75.0%; non-DHC, 50.9%). Two archetypes with distinct patient profiles were identified. Archetype 1 (vs. 2) characterised by older age, greater disease severity, more comorbidities, more medication use, took steps to prevent heart attack/problems, had better lifestyle, higher HF-related hospitalizations (18.3% vs. 16.3%) and lower all-cause hospitalizations (42.9% vs. 46.3%). The trends remained the same regardless of the intervention type. Conclusions Identification of patient archetypes with distinct profiles can be useful to understand underlying disease subtypes, identify specific interventions, predict clinical outcomes, and define the right intervention for the right patient.

Objectives: To identify the right interventions for the right heart failure (HF) patients in the real-world setting using machine learning (ML) trained on individual-level clinical data linked with social determinants of health (SDOH) data. Methods: In this retrospective cohort study, point-of-care claims data from Komodo Health and SDOH data from the National Health and Wellness Survey (NHWS), from January 2014–December 2020, were linked. Data mining was conducted using K-means clustering, an ML tool. Komodo Health data were used to access longitudinal data for the selected patient cohorts and crosssectional data from NHWS for additional patient information. The primary outcome was HF-related hospitalizations; secondary outcomes, all-cause hospitalization and all-cause mortality. Use of digital healthcare (DHC)on-DHC interventions and related outcomes were also assessed. Results: The study population included 353 HF patients (mean age, 63.5 years; 57.2% women). The use of non-DHC (75.9%–81.9%) and DHC (4.0%–9.1%) interventions increased from baseline to followup. Overall, 17.0% of patients had HF-related hospitalizations (DHC, 6.9%; non-DHC, 16.5%) and 45.0% had all-cause hospitalization (DHC, 75.0%; non-DHC, 50.9%). Two archetypes with distinct patient profiles were identified. Archetype 1 (vs. 2) characterised by older age, greater disease severity, more comorbidities, more medication use, took steps to prevent heart attack/problems, had better lifestyle, higher HF-related hospitalizations (18.3% vs. 16.3%) and lower all-cause hospitalizations (42.9% vs. 46.3%). The trends remained the same regardless of the intervention type. Conclusions Identification of patient archetypes with distinct profiles can be useful to understand underlying disease subtypes, identify specific interventions, predict clinical outcomes, and define the right intervention for the right patient.

Objectives: To identify the right interventions for the right heart failure (HF) patients in the real-world setting using machine learning (ML) trained on individual-level clinical data linked with social determinants of health (SDOH) data. Methods: In this retrospective cohort study, point-of-care claims data from Komodo Health and SDOH data from the National Health and Wellness Survey (NHWS), from January 2014–December 2020, were linked. Data mining was conducted using K-means clustering, an ML tool. Komodo Health data were used to access longitudinal data for the selected patient cohorts and crosssectional data from NHWS for additional patient information. The primary outcome was HF-related hospitalizations; secondary outcomes, all-cause hospitalization and all-cause mortality. Use of digital healthcare (DHC)on-DHC interventions and related outcomes were also assessed. Results: The study population included 353 HF patients (mean age, 63.5 years; 57.2% women). The use of non-DHC (75.9%–81.9%) and DHC (4.0%–9.1%) interventions increased from baseline to followup. Overall, 17.0% of patients had HF-related hospitalizations (DHC, 6.9%; non-DHC, 16.5%) and 45.0% had all-cause hospitalization (DHC, 75.0%; non-DHC, 50.9%). Two archetypes with distinct patient profiles were identified. Archetype 1 (vs. 2) characterised by older age, greater disease severity, more comorbidities, more medication use, took steps to prevent heart attack/problems, had better lifestyle, higher HF-related hospitalizations (18.3% vs. 16.3%) and lower all-cause hospitalizations (42.9% vs. 46.3%). The trends remained the same regardless of the intervention type. Conclusions Identification of patient archetypes with distinct profiles can be useful to understand underlying disease subtypes, identify specific interventions, predict clinical outcomes, and define the right intervention for the right patient.

The hydatid cyst is a parasitic pathology which is endemic in Tunisia and presents a public health problem. Hydatid cysts located in the retroperitoneum, especially around or in the kidney, are rare and only represent 5% of visceral locations. The kidney is the most commonly affected organ of the urinary tract. The psoas muscle is an uncommon location and not less than 70 cases have been cited. We report the case of an unusual presentation of a right kidney hydatid cyst associated with a psoas muscle location. To our knowledge, this association of double retroperitoneal location has not been reported in the literature.

Objective: The aims of this study were to evaluate the psychometric properties of Persian translation of the Yale Food Addiction Scale 2.0 (YFAS 2.0) as a widely accepted questionnaire for the first time and to establish a cut off score for Food Craving Questionnaire-Trait-reduced (FCQ-T-r). Methods: In this cross-sectional study, 330 visitors of family physician clinics in Shiraz, a city located in south of Iran, were selected. The English version of YFAS 2.0 was translated into Persian and used in this study as well as the Persian version of FCQ-T-r. Results: Confirmatory factor analysis of YFAS-2 confirmed one dimensional structure and factor loading in all eleven symptoms was above 0.4. Internal consistency for eleven symptoms was 0.813. Prevalence of food addiction in participants was 6.7% (22 participants). BMI and FCQ-T-r questionnaire score both were positively correlated with the number of food addiction symptoms but age was negatively correlated with the number of the symptoms. The ROC curve analysis showed the best suggested cut-off point for FCQ-T-r questionnaire to detect food addiction was 32.5. Conclusion The present study confirmed validity and reliability of Persian version of YFAS-2. It is suggested that food addiction occurs in different level of food craving behavior in different food cultures or genetics.

Objective: The aims of this study were to evaluate the psychometric properties of Persian translation of the Yale Food Addiction Scale 2.0 (YFAS 2.0) as a widely accepted questionnaire for the first time and to establish a cut off score for Food Craving Questionnaire-Trait-reduced (FCQ-T-r). Methods: In this cross-sectional study, 330 visitors of family physician clinics in Shiraz, a city located in south of Iran, were selected. The English version of YFAS 2.0 was translated into Persian and used in this study as well as the Persian version of FCQ-T-r. Results: Confirmatory factor analysis of YFAS-2 confirmed one dimensional structure and factor loading in all eleven symptoms was above 0.4. Internal consistency for eleven symptoms was 0.813. Prevalence of food addiction in participants was 6.7% (22 participants). BMI and FCQ-T-r questionnaire score both were positively correlated with the number of food addiction symptoms but age was negatively correlated with the number of the symptoms. The ROC curve analysis showed the best suggested cut-off point for FCQ-T-r questionnaire to detect food addiction was 32.5. Conclusion The present study confirmed validity and reliability of Persian version of YFAS-2. It is suggested that food addiction occurs in different level of food craving behavior in different food cultures or genetics.

Coronavirus disease 2019 (COVID-19) is a highly contagious, severe acute respiratory syndrome that poses significant health risks to healthcare providers. A delicate balance is needed between timely intervention for ill patients without apparent COVID-19 infection and the safety of healthcare personnel who provide essential treatment in the midst of the pandemic. We report our experience managing a 70-year-old man who presented with acute gallstone pancreatitis at our hospital during the COVID-19 outbreak in Malaysia. We also describe the safety protocol measures that have been implemented in our institution to protect the healthcare personnel from this disease during endoscopic retrograde cholangiopancreatography. This case illustrates the importance of meticulous planning, risk assessment, effective team communication and strict adherence to recommendations when providing treatment during an unprecedented pandemic.

BACKGROUND: Production of immunosuppressive enzymes such as indoleamine 2,3-dioxygenase (IDO) is one of the strategies employed by hematologic malignancies, including acute myeloid leukemia (AML), to circumvent immune surveillance. Moreover, IDO has the ability to convert CD4+CD25− conventional T cells into regulatory T cells (Tregs). In this study, we evaluated the expression of IDO in cytogenetically normal acute myeloid leukemia (CN-AML) patients and its correlation with the Treg marker, FOXP3, as well as clinical and laboratory parameters. METHODS: Thirty-seven newly diagnosed CN-AML patients were enrolled in our study along with 22 healthy individuals. The expression of the IDO and FOXP3 genes was analyzed by SYBR Green real-time PCR. RESULTS: Both IDO and FOXP3 were highly upregulated in CN-AML patients compared to control groups (P=0.004 and P=0.031, respectively). A positive correlation was observed between IDO and FOXP3 expression among AML patients (r=0.512, P=0.001). Expression of IDO and FOXP3 showed no significant correlation with laboratory parameters such as white blood cell and platelet counts, hemoglobin levels, bone marrow blast percentage, gender, and FLT3 mutation status (P>0.05). CONCLUSION: Higher IDO expression in CN-AML patients may be associated with an increased Treg phenotype which may promote disease progression and lead to poor prognosis of CN-AML patients.
Bone Marrow ; Disease Progression ; Hematologic Neoplasms ; Humans ; Indoleamine-Pyrrole 2,3,-Dioxygenase* ; Karyotype* ; Leukemia, Myeloid, Acute* ; Leukocytes ; Phenotype* ; Platelet Count ; Prognosis ; Real-Time Polymerase Chain Reaction ; T-Lymphocytes ; T-Lymphocytes, Regulatory

PURPOSE: The purpose of this study was to assess the knowledge of pharmacists practicing in Palestine of issues related to using psychotropic medications in older people. METHODS: The study was conducted with a cross-sectional observational design using a questionnaire. A total of 400 pharmacists responded to a 19-statement knowledge test related to the use of psychotropic medications in older people. The study was conducted from July 2016 to February 2017. The reliability and internal consistency of the study tool was assessed using the test-retest method and the Cronbach alpha. Categorical groups were compared using the chi-square test and the Spearman rank correlation. RESULTS: On the 19-statement knowledge test, the median score was 55.3% with an interquartile range of 21.9%. In a comparison of the demographic and practice-related variables of the pharmacists who scored ≥ 50% on the 19-statement knowledge test with those who scored < 50%, age, gender, and having taken a course on psychotropic medications were found to be significantly associated with performance, as shown by the chi-square test and Spearman correlation. CONCLUSION: Pharmacists practicing in Palestine possess less than optimal knowledge of issues related to the use of psychotropic medications in older people. Continuing educational interventions and/or training might be helpful in improving pharmacists' knowledge of issues related to using psychotropic medications in older people.
Arabs* ; Cross-Sectional Studies* ; Geriatrics ; Humans ; Methods ; Pharmacists ; Psychotropic Drugs