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1.
Diabetes Ther ; 15(9): 2119-2130, 2024 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-39110375

RESUMEN

INTRODUCTION: The efficacy and safety of oral semaglutide, the first glucagon-like peptide 1 receptor agonist available in tablet form for the treatment of type 2 diabetes, were established in the phase 3a PIONEER program. However, evidence regarding the titration of oral semaglutide in real-world clinical settings remains insufficient. This study aimed to elucidate the therapeutic advantages of escalating the dose of oral semaglutide from 7 to 14 mg through clinical data analysis. METHODS: This retrospective observational study was conducted at a single center in Japan, focusing on adults with type 2 diabetes who were initiated on 14 mg oral semaglutide. The primary endpoint was the alteration in HbA1c levels 24 weeks after the initial prescription of 14 mg oral semaglutide. Secondary endpoints included changes in metabolic parameters and the incidence of adverse events. RESULTS: Data from 66 patients who met the inclusion criteria were analyzed. The mean change in HbA1c levels from baseline to 24 weeks following dose escalation was - 0.5 ± 0.8% [from 7.4 ± 1.0% at baseline to 7.0 ± 0.9% at 24 weeks (p < 0.01)]. Moreover, a significant reduction in body weight of - 2.0 ± 4.4 kg was observed at 24 weeks [from 90.0 ± 20.5 kg at baseline to 88.2 ± 21.4 kg at 24 weeks (p < 0.01)], with 41% of patients achieving at least a 3% reduction compared to baseline. Gastrointestinal disorders emerged as the most prevalent adverse event (10.6%), particularly nausea (7.6%), although predominantly of mild or moderate severity, with no instances of serious adverse events necessitating drug discontinuation. CONCLUSION: Escalating the dose of oral semaglutide to 14 mg could be an effective approach for enhancing glycemic control and managing body weight in individuals with type 2 diabetes.

2.
Diabetes Metab Syndr Obes ; 17: 2547-2554, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38915899

RESUMEN

Purpose: The severe pathogenic ancient-type COVID-19, SARS-CoV-2/WA-1/2020 was the predominant gene variant in early 2020 in Japan, however, its transmissibility was uncertain. The period before the public commenced using any personal protective equipment (PPE) was evaluating to describe the transmissibility of the SARS-CoV-2/WA-1/2020. We analyzed the secondary attack rate (SAR) among close contacts and the risk factor for SAR. Methods: This retrospective cohort study included a total of 539 patients who were anticipated for the SARS-CoV-2/WA-1/2020 infection at Toho University Medical Center Omori Hospital from February to May 2020. We selected 54 patients with 1) exclude other pathogens infection, 2) include "Three Cs" condition: crowded places between distance< 6 feet, closed spaces indoor and close contact settings involving contact >15min with a person tested positive for SARS-CoV-2/WA-1/2020 without PPE. We evaluated alternative infection risks: the body mass index (BMI) and diabetes (DM) status (non-DM, pre-DM, and DM) as demographic determinants of transmissibility and infectivity of SARS-CoV2/WA-1/2020 cases during the incubation period. Results: The calculated SAR was 79.3%. BMI was significantly associated with the PCR positivity rate, which was significant in the univariate (CI 95%, 1.02-1.51; P = 0.03) and multivariate (CI 95%, 1.02-1.60; P = 0.03) analyses. Comparing the different BMI groups, the highest BMI group (25.5-35.8 kg/m2) had an elevated risk of SAR compared to the lowest BMI group (14.0-22.8 kg/m2), with an odds ratio of 1.41 (95% CI, 1.02-1.59; P = 0.03). There were no significant differences in the risk of SAR among different DM statuses. Conclusion: The transmissibility of SARS-CoV2/WA-1/2020 was high (79.3%) among household members without PPE who had "Three Cs" exposure. Although pre-DM and established DM did not confer a risk for transmissibility, higher BMI was associated with an increased risk of SAR. Trial Registration: UMIN Clinical Trials Registry, UMIN0000 50905.

3.
Am J Case Rep ; 24: e940986, 2023 Sep 17.
Artículo en Inglés | MEDLINE | ID: mdl-37717141

RESUMEN

BACKGROUND It is well known that diabetes mellitus contributes to COVID-19 severity. Recently, there have been reports of an increase in the number of children with type 1 diabetes after the COVID-19 pandemic. CASE REPORT A 52-year-old woman presented to the Emergency Department with disturbance of consciousness, accompanied by a 1-day history of thirst, a fever of 38°C, and breathlessness. She had a positive coronavirus antigen test. Her initial vital signs assessment showed a heart rate of 120 beats per minute, blood pressure 90/50 mmHg, temperature 37.3°C, and respiratory rate 30 breaths/minute with an oxygen saturation of 100% with 10 L oxygen inhalation. Her initial laboratory test results showed a blood glucose level of 1507 mg/dl, HbA1c of 10.1%, ketone 2+, and blood gas pH 7.113. The patient was diagnosed with diabetic ketoacidosis (DKA). There were mild inflammatory findings with blood CRP 0.14 mg/dl and a white cell count of 12 400/µL, but no pneumonia on a chest CT scan. Therefore, the patient was diagnosed with COVID-19 and DKA. The patient was positive for anti-glutamic acid decarboxylase (anti-GAD antibody) and had markedly low levels 24-h urine C-peptide (CPR). She was diagnosed with acute-onset type 1 diabetes mellitus, as her blood examination showed a postprandial blood glucose level of 100 mg/dl and HbA1c of 5.7% 2 months before admission. After admission, fluid replacement and continuous intravenous insulin infusion therapy were started, and blood glucose and blood gas pH improved over 10 h. CONCLUSIONS There have been reports of cases of type 1 diabetes consequences of COVID-19, but the mechanism has not been elucidated.


Asunto(s)
COVID-19 , Diabetes Mellitus Tipo 1 , Cetoacidosis Diabética , Niño , Femenino , Humanos , Persona de Mediana Edad , Cetoacidosis Diabética/diagnóstico , Cetoacidosis Diabética/etiología , Diabetes Mellitus Tipo 1/complicaciones , Glucemia , Hemoglobina Glucada , Pandemias
5.
Diabetes Obes Metab ; 25(8): 2131-2141, 2023 08.
Artículo en Inglés | MEDLINE | ID: mdl-37046361

RESUMEN

AIMS: To compare the effects of baseline background characteristics in patients treated with dapagliflozin and sitagliptin in the DIVERSITY-CVR study and to analyse the time in range (TIR), a metric for glycaemic control. MATERIALS AND METHODS: This prospective, randomized, multicentre study included 340 Japanese patients with early-stage type 2 diabetes. To examine the effects of dapagliflozin and sitagliptin on glycaemic variability, we re-examined the primary endpoint (glycated haemoglobin [HbA1c] < 7.0%, body weight loss ≥ 3.0%, and avoidance of hypoglycaemia) achievement rate in participants stratified by baseline background characteristics. RESULTS: Sitagliptin was significantly superior in achieving HbA1c level <7.0% in the lower body mass index (BMI) group (71.1% vs. 43.6%; P < 0.05), with no significant differences in other subgroups. In the lower BMI group, the rate of achievement of TIR > 70% after 24-week treatment was significantly higher with sitagliptin than with dapagliflozin (91.9% vs. 69.4%; P < 0.05). In contrast, dapagliflozin was superior to sitagliptin in achieving TIR > 70% in the higher BMI group (85.7% vs. 52.9%; P < 0.01). CONCLUSION: In Japanese patients with early-stage type 2 diabetes, sitagliptin was associated with improved TIR in patients with a lower BMI. Dapagliflozin was effective in patients with a higher BMI.


Asunto(s)
Diabetes Mellitus Tipo 2 , Humanos , Glucemia , Índice de Masa Corporal , Diabetes Mellitus Tipo 2/complicaciones , Método Doble Ciego , Quimioterapia Combinada , Pueblos del Este de Asia , Hemoglobina Glucada , Hipoglucemiantes/uso terapéutico , Estudios Prospectivos , Fosfato de Sitagliptina/uso terapéutico , Resultado del Tratamiento , Pérdida de Peso
6.
Diabetol Metab Syndr ; 15(1): 25, 2023 Feb 19.
Artículo en Inglés | MEDLINE | ID: mdl-36804863

RESUMEN

OBJECTIVE: Based on the whole-body energy metabolism and insulin action, the difference between increased excretion of carbohydrate in urine by SGLT2i and reduced same amount of oral carbohydrate intake are scarce. This study aimed to compare the effect of carbohydrate availability with reduced oral intake (carbohydrate-restricted isocaloric diet: CRIC diet) or lost in urine, as urinary glucosuria on sodium/glucose cotransporter-2 inhibitor (SGLT2i) treatment, focus on the insulin requirement and the macronutrient oxidation within insulin treated type 2 diabetes. METHODS: This is randomized 3-arm open-label prospective study. Subjects treated with titrated basal-bolus insulin regimen subsequent to three diet regimens, control diet (CON), administration of canagliflozin 100 mg/day to CON (SGLT2i), or CRIC diet, with a week admission to the endocrinology ward followed by 12 weeks outpatients' management. The main outcome measures including the total insulin dose (TID) required to achieve euglycemia, fasting and postprandial energy expenditure (EE) and respiratory quotient (RQ) at 1-week and 12-week. RESULTS: We enrolled 23 patients with type 2 diabetes (male/female: 14/9, age: 53.6 ± 14.2 years, body mass index: 26.9 ± 4.8 kg/m2, HbA1c: 12.5 ± 1.6%). The TID was similar with CON and SGLT2i at both 1 and 12-weeks. Although comparable net carbohydrate availability in SGLT2i and CRIC groups, the TID was significantly higher in the CRIC (p = 0.02) compare to the SGLT2i at both 1 and 12-weeks. Fasting EE was similar in all groups, postprandial EE was significantly elevated in the SGLT2i and CRIC groups compared to the CON group (p = 0.03 and 0.04). Compare to the CON, lower basal fasting RQ (p = 0.049) and decreased delta-RQ (postprandial RQ/fasting RQ) indicated continuous lipid substrate utilization in the SGLT2i (p = 0.04) and CRIC (p = 0.03) groups. CONCLUSION: The CRIC diet resulted in a similar fasting and postprandial EE and substrate oxidation compared to the SGLT2i. The increased insulin requirement in the CRIC diet indicates that a relatively highly lipid and protein consumption, compared to the SGLT2i and CON, may influence insulin requirement.

7.
Med Sci Monit ; 28: e935615, 2022 Mar 20.
Artículo en Inglés | MEDLINE | ID: mdl-35306503

RESUMEN

BACKGROUND It is well established that primary aldosteronism (PA) and aldosterone-to-renin ratio (ARR) are associated with kidney disease. The aim of this study was to retrospectively investigate the relationship between ARR, urinary albumin excretion (UAE), and estimated glomerular filtration rate (eGFR) in patients with type 2 diabetes from a single center. MATERIAL AND METHODS We included 70 patients with type 2 diabetes, UAE ≤100 mg/day, not taking renin-aldosterone system inhibitors, did not meet the diagnostic criteria for PA, and had an ARR <20. The patients were divided into 3 groups: the normal low (NL) group (33 patients) with a UAE <10 mg/day, the normal (N) group (22 patients) with a UAE of 10-29 mg/day, and the microalbuminuria (M) group (15 patients) with a UAE of 30-100 mg/day. The ARR, plasma renin activity (PRA), and plasma aldosterone (PAC) were compared among groups. RESULTS The ARR was highest in group M (10.1±4.6), 6.5±0.3 in group NL, and 7.0±2.7 in group N. The PRA and PAC were significantly lower in group M (P<0.001). The ARR showed a significant positive correlation with log UAE (r=0.37, P<0.001) and a significant negative correlation with eGFR (r=-0.33, P<0.01). CONCLUSIONS High levels of aldosterone relative to renin, which did not fulfill confirmatory criteria for PA, may be one of the risk factors for the development of diabetic nephropathy in patients with diabetes. The present results are supported by previous research showing that an increased ARR without PA was a risk factor for kidney disease.


Asunto(s)
Aldosterona/sangre , Diabetes Mellitus Tipo 2/sangre , Diabetes Mellitus Tipo 2/fisiopatología , Nefropatías Diabéticas/sangre , Nefropatías Diabéticas/fisiopatología , Renina/sangre , Adulto , Femenino , Humanos , Masculino , Persona de Mediana Edad , Estudios Retrospectivos
8.
Diabetol Int ; 13(1): 124-131, 2022 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-35059248

RESUMEN

AIMS: To improve glycemic variability (GV) is crucial in the management of multiple daily insulin (MDI) treatment in diabetes. To evaluate the GV improvement in MDI treated type 2 diabetes (T2D) with low-dose metformin 750 mg/day (LMET), which was popular in the clinical practice in Japan, we compared the effect of adding vildagliptin 100 mg/day (LMET + DPP4i treatment) or increased metformin dose to 1500 mg/day (HMET treatment), in the setting of continuous glucose monitoring (CGM) analysis. MATERIALS AND METHODS: Single-center, open-label, 12 weeks-two period cross-over design. Twenty T2D with inadequately controlled (7.0% < HbA1c ≤ 9.0%) with MDI + LMET were enrolled. Primary endpoints were GV and hypoglycemia derived from CGM indices, performed after each 12 week treatment periods. RESULTS: There was no significant difference in both LMET + DPP4i treatment and HMET treatment, in terms of HbA1c, body weight changes, and total daily dose of insulin to achieve the targeted glycemia. LMET + DPP4i treatment compared to HMET treatment, significantly reduced the calculated GV value, mean (7.15 ± 1.30 vs 7.82 ± 1.60, p = 0.04), standard deviation (1.78 ± 0.55 vs 2.27 ± 1.11, p = 0.03), continuous overlapping net glycemic action (6.44 ± 1.28 vs 7.12 ± 1.69, p < 0.05), J-Index (26.7 ± 11.0 vs 34.9 ± 19.8, p < 0.05), high blood glucose index (3.01 ± 1.96 vs 6.73 ± 4.85, p = 0.02), and mean amplitude of glycemic excursions (4.53 ± 1.35 vs 5.50 ± 2.34, p = 0.03). CONCLUSION: The GV metrics regarding daily and nocturnal hypoglycemia were not significantly different between LMET + DPP4i treatment and HMET treatment. LMET + DPP4i treatment decreased GV associated with hyperglycemia. Adding DPP-4-inhibitor to the lower dose of metformin is an alternative approach to the stable GV in MDI compared to additional high-dose metformin. National Clinical Trial registration in Japan, number is JPRN-UMIN000024663. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13340-021-00513-6.

9.
Diabetol Int ; 13(1): 142-147, 2022 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-35059250

RESUMEN

AIM: Diabetes and aging are both well-established risk factors for insomnia. Therefore, we investigated the changes in subjective sleep quality in relation to clinical backgrounds and age in patients with type 2 diabetes mellitus (T2DM). METHODS: This cross-sectional study included 380 participants with T2DM who were between 18 and 79 years of age from our outpatient clinics. Individuals with any symptoms and medical histories associated with obstructive sleep apnea (OSA) were excluded from the interview and analyses. Data were collected using self-administered questionnaires, namely the Pittsburgh Sleep Quality Index (PSQI) and the Morning-Evening Questionnaire (MEQ), as well as medical records and blood samples. We performed stratified analyses according to age decades. RESULTS: The number of patients in the age groups (in years) was as follows: < 50 (n = 69), 50-60 (n = 52), 60-70 (n = 138), and 70-80 (n = 121). PSQI score was highest in the < 50 group (4.99 ± 2.40), and significantly decreased with age (p < 0.05). Body mass index (BMI) was also highest in the < 50 group (25.5 ± 4.8 kg/m2), and markedly decreased with age (p < 0.01). Interestingly, BMI was significantly correlated with the PSQI score (rs = 0.157, p < 0.05). We also found that younger patients had shorter sleep duration, stronger daytime sleepiness, and a tendency for the evening type. CONCLUSION: Younger T2DM patients had poorer sleep quality and higher BMI. Our findings suggest that insomnia should be accounted for as a potential comorbidity when examining or treating patients with T2DM and obesity even in the younger population.

10.
Diabetes Ther ; 13(2): 311-323, 2022 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-35044568

RESUMEN

INTRODUCTION: Increased postprandial glucose (PPG) is associated with high glycated haemoglobin levels and is an independent risk factor for cardiovascular diseases. The aim of this study was to compare PPG increments in Asian versus non-Asian adults with type 2 diabetes (T2D), who were insulin-naïve or insulin-experienced, from the phase 3 insulin degludec/insulin aspart (IDegAsp) clinical trials. METHODS: This was a post hoc analysis of data from 13 phase 3, randomised, parallel-group, open-label IDegAsp trials in patients with T2D. The pooled baseline clinical data were analysed for insulin-naïve and insulin-experienced groups; and each group was split into subgroups of Asian and non-Asian patients, respectively, and analysed accordingly. Baseline self-monitored blood glucose (SMBG) values at breakfast, lunch and the evening meal (before and 90 min after each meal) were used to assess PPG increments. The estimated differences in baseline SMBG increment between the Asian and non-Asian subgroups were analysed. RESULTS: Clinical data from 4750 participants (insulin-naïve, n = 1495; insulin-experienced, n = 3255) were evaluated. In the insulin-naïve group, the postprandial SMBG increment was significantly greater in the Asian versus the non-Asian subgroup at breakfast (estimated difference 28.67 mg/dL, 95% confidence interval [CI] 18.35, 38.99; p < 0.0001), lunch (17.34 mg/dL, 95% CI 6.47, 28.21; p = 0.0018) and the evening meal (16.19 mg/dL, 95% CI 5.04, 27.34; p = 0.0045). In the insulin-experienced group, the postprandial SMBG increment was significantly greater in the Asian versus non-Asian subgroup at breakfast (estimated difference 13.81 mg/dL, 95% CI 9.19, 18.44; p < 0.0001) and lunch (29.18 mg/dL, 95% CI 24.22, 34.14; p < 0.0001), but not significantly different at the evening meal. CONCLUSION: In this post hoc analysis, baseline PPG increments were significantly greater in Asian participants with T2D than in their non-Asian counterparts at all mealtimes, with the exception of the evening meal in insulin-experienced participants. Asian adults with T2D may benefit from the use of regimens that control PPG excursions. CLINICAL TRIAL NUMBERS: NCT02762578, NCT01814137, NCT01513590, NCT01009580, NCT01713530, NCT02648217, NCT01045447, NCT01365507, NCT01045707, NCT01272193, NCT01059812, NCT01680341, NCT02906917.

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