scholarly journals Clinical profiles and quality of care of subjects with type 2 diabetes according to their cardiovascular risk: an observational, retrospective study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Basilio Pintaudi ◽  
Alessia Scatena ◽  
Gabriella Piscitelli ◽  
Vera Frison ◽  
Salvatore Corrao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Quality Of Care ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Cardiovascular Risk Factors ◽  
High Cardiovascular Risk ◽  
Very High

Abstract Background The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 2 diabetes (T2D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care, with particular regard to cardiovascular risk factors. Methods The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD Annals initiative. Patients with T2D were stratified by cardiovascular risk. General descriptive indicators, measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment for diabetes and cardiovascular risk factors, presence of other complications and overall quality of care were evaluated. Results Overall, 473,740 subjects with type 2 diabetes (78.5% at very high cardiovascular risk, 20.9% at high risk and 0.6% at moderate risk) were evaluated. Among people with T2D at very high risk: 26.4% had retinopathy, 39.5% had albuminuria, 18.7% had a previous major cardiovascular event, 39.0% had organ damage, 89.1% had three or more risk factors. The use of DPP4-i markedly increased as cardiovascular risk increased. The prescription of secretagogues also increased and that of GLP1-RAs tended to increase. The use of SGLT2-i was still limited, and only slightly higher in subjects with very high cardiovascular risk. The overall quality of care, as summarized by the Q score, tended to be lower as the level of cardiovascular risk increased. Conclusions A large proportion of subjects with T2D is at high or very high risk. Glucose-lowering drug therapies seem not to be adequately used with respect to their potential advantages in terms of cardiovascular risk reduction. Several actions are necessary to improve the quality of care.

scholarly journals Patterns of care of subjects with type 1 and type 2 diabetes according to their cardiovascular risk

2021 ◽  
Vol 24 (1) ◽  
pp. 30
Author(s):  
Pintaudi, B.
Keyword(s):  
Risk Factors ◽  
Quality Of Care ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Quality Indicators ◽  
High Cardiovascular Risk ◽  
Very High

AIM OF THE STUDY To explore the distribution by cardiovascular risk groups according to the classification promoted by the ESC (European Society of Cardiology) of subjects with type 1 (T1D) and type 2 (T2D) diabetes cared for by Italian diabetologists and to describe the quality indicators of care, with particular regard to cardiovascular risk factors. DESIGN AND METHODS The study is based on data extracted from electronic medical records of patients treated at the 258 diabetes centers participating in the Annals AMD initiative and active in the year 2018. Patients with T1D or T2D were stratified by cardiovascular risk, in accordance with the recent ESC guidelines. General descriptive indicators and measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment for diabetes and cardiovascular risk factors, presence of other complications and overall quality of care were evaluated. RESULTS Overall, 29,368 adults with T1D and 473,740 subjects with T2D were evaluated. Among subjects with T1D: 64.7% were at very high cardiovascular risk, 28.5% at high risk and the remaining 6.8% at moderate risk. Among subjects with T1D at very high-risk: 54.7% had retinopathy, 29.0% had albuminuria, 7.3% had a history of major cardiovascular event, 47.3% had organ damage, 48.9% had three or more risk factors, and 70.6% had a diabetes duration of over 20 years. Among subjects with T2D: 78.5% were at very high cardiovascular risk, 20.9% at high risk and the remaining 0.6% at moderate risk. Among those with T2D at very high risk: 39.0% had organ damage, 89.1% had three or more risk factors, 18.7% had a previous major cardiovascular event, 26,4% had retinopathy, 39.5% had albuminuria. With regard to the glucose-lowering drugs: the use of DPPIV-i increased markedly as cardiovascular risk increased; the use of secretagogues also increased and, although within low percentages, also the use of GLP1-RA tended to increase. The use of SGLT2-i is also still limited, and only slightly higher in subjects with very high cardiovascular risk. In both types of diabetes, the overall quality of care, as summarized by the Q score values, tended to be lower as the level of cardiovascular riskincreased. CONCLUSIONS The analysis of a large population such as that of the AMD Annals database allowed to highlight the characteristics and quality indicators of care of subjects with T1D and T2D in relation to cardiovascular risk classes. A large proportion of subjects appear to be at high or very high risk. Glucose-lowering drug therapies seem not to be adequately used with respect to the potential advantages in terms of reduction of cardiovascular risk of some drug categories (GLP1-RA and SGLT2-i) and, conversely, with respect to the potential risks related to the use of other pharmacological classes (sulfonylureas). Several actions are necessary to optimize care and improve the quality of care for both subjects with T1D and T2D. KEY WORDS type 1 diabetes; type 2 diabetes; cardiovascular risk; quality indicators of care.

scholarly journals Disease overarching mechanisms that explain and predict outcome of patients with high cardiovascular risk: rationale and design of the Berlin Long-term Observation of Vascular Events (BeLOVE) study

2019 ◽  
Author(s):  
Bob Siegerink ◽  
Joachim Weber ◽  
Michael Ahmadi ◽  
Kai-Uwe Eckardt ◽  
Frank Edelmann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Cardiovascular Events ◽  
Target Organ Damage ◽  
Organ Damage ◽  
High Cardiovascular Risk

AbstractBackgroundCardiovascular disease (CVD) is the leading cause of premature death worldwide. Effective and individualized treatment requires exact knowledge about both risk factors and risk estimation. Most evidence for risk prediction currently comes from population-based studies on first incident cardiovascular events. In contrast, little is known about the relevance of risk factors for the outcome of patients with established CVD or those who are at high risk of CVD, including patients with type 2 diabetes. In addition, most studies focus on individual diseases, whereas less is known about disease overarching risk factors and cross-over risk.AimThe aim of BeLOVE is to improve short- and long-term prediction and mechanistic understanding of cardiovascular disease progression and outcomes in very high-risk patients, both in the acute as well as in the chronic phase, in order to provide the basis for improved, individualized management.Study designBeLOVE is an observational prospective cohort study of patients of both sexes aged >18 in selected Berlin hospitals, who have a high risk of future cardiovascular events, including patients with a history of acute coronary syndrome (ACS), acute stroke (AS), acute heart failure (AHF), acute kidney injury (AKI) or type 2 diabetes with manifest target-organ damage. BeLOVE includes 2 subcohorts: The acute subcohort includes 6500 patients with ACS, AS, AHF, or AKI within 2-8 days after their qualifying event, who undergo a structured interview about medical history as well as blood sample collection. The chronic subcohort includes 6000 patients with ACS, AS, AHF, or AKI 90 days after event, and patients with type 2 diabetes (T2DM) and target-organ damage. These patients undergo a 6-8 hour deep phenotyping program, including detailed clinical phenotyping from a cardiological, neurological and metabolic perspective, questionnaires including patient-reported outcome measures (PROMs)as well as magnetic resonance imaging. Several biological samples are collected (i.e. blood, urine, saliva, stool) with blood samples collected in a fasting state, as well as after a metabolic challenge (either nutritional or cardiopulmonary exercise stress test). Ascertainment of major adverse cardiovascular events (MACE) will be performed in all patients using a combination of active and passive follow-up procedures, such as on-site visits (if applicable), telephone interviews, review of medical charts, and links to local health authorities. Additional phenotyping visits are planned at 2, 5 and 10 years after inclusion into the chronic subcohort.Future perspectiveBeLOVE provides a unique opportunity to study both the short- and long-term disease course of patients at high cardiovascular risk through innovative and extensive deep phenotyping. Moreover, the unique study design provides opportunities for acute and post-acute inclusion and allows us to derive two non-nested yet overlapping sub-cohorts, tailored for upcoming research questions. Thereby, we aim to study disease-overarching research questions, to understand crossover risk, and to find similarities and differences between clinical phenotypes of patients at high cardiovascular risk.

scholarly journals Findings from Community-Based Screenings for Type 2 Diabetes Mellitus in at Risk Communities in Cape Town, South Africa: A Pilot Study

2020 ◽  
Vol 17 (8) ◽  
pp. 2876 ◽  
Author(s):  
Jillian Hill ◽  
Nasheeta Peer ◽  
Deborah Jonathan ◽  
Mary Mayige ◽  
Eugene Sobngwi ◽  
...  
Keyword(s):  
Risk Factors ◽  
South Africa ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Cardiovascular Risk Factors ◽  
Diabetes Prevention ◽  
Diabetes Risk ◽  
Community Based

Completed and ongoing implementation activities globally advocate for community-based approaches to improve strategies for type 2 diabetes prevention. However, little is known about such strategies in the African region where there are higher relative increases in diabetes prevalence. We reported findings from the first 8-month pilot phase of the South African diabetes prevention program. The study was conducted across eight townships (four black and four mixed-ancestry communities) in Cape Town, South Africa, between August 2017 and March 2018. Participants were recruited using both random and self-selected sampling techniques because the former approach proved to be ineffective; <10% of randomly selected individuals consented to participate. Non-laboratory-based diabetes risk screening, using the African diabetes risk score, and based on targeted population specific cut-offs, identified potentially high-risk adults in the community. This was followed by an oral glucose tolerance test (OGTT) to confirm prevalent pre-diabetes. Among the 853 adults without prior diabetes who were screened in the community, 354 (43.4%) were classified as high risk, and 316 presented for further screening. On OGTT, 13.1% had dysglycemia, including 10% with screen-detected diabetes and 67.9% with glycated haemoglobin (HbA1c)-defined high risk. Participants with pre-diabetes (n = 208) had high levels of common cardiovascular risk factors, i.e., obesity (73.7%), elevated total cholesterol (51.9%), and hypertension (29.4%). Self-referral is likely an efficient method for selecting participants for community-based diabetes risk screening in Africa. Post-screening management of individuals with pre-diabetes must include attention to co-morbid cardiovascular risk factors.

scholarly journals Acute Effect of Enhanced External Counterpulsation on the Carotid Hemodynamic Parameters in Patients With High Cardiovascular Risk Factors

2021 ◽  
Vol 12 ◽  
Author(s):  
Yahui Zhang ◽  
Zhouming Mai ◽  
Jianhang Du ◽  
Wenjuan Zhou ◽  
Wenbin Wei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Carotid Arteries ◽  
Acute Effect ◽  
Hemodynamic Parameters ◽  
High Cardiovascular Risk ◽  
Enhanced External Counterpulsation

PurposeEnhanced external counterpulsation (EECP) can improve carotid circulation in patients with coronary artery disease. However, the response of carotid hemodynamic parameters induced by EECP in patients with high cardiovascular risk factors remains to be clarified. This study aimed to investigate the acute effect of EECP on the hemodynamic parameters in the carotid arteries before, during, and immediately after EECP in patients with hypertension, hyperlipidemia, and type 2 diabetes.MethodsEighty-three subjects were recruited into this study to receive 45-min EECP, including patients with simple hypertension (n = 21), hyperlipidemia (n = 23), type 2 diabetes (n = 18), and healthy subjects (n = 21). Hemodynamic parameters in both common carotid arteries (CCAs) were measured and calculated from Doppler ultrasound images. Peak systolic velocity (PSV), end-diastolic velocity (EDV), mean inner diameter (ID), systolic/diastolic flow velocity ratio (VS/VD), flow rate (FR), and resistance index (RI) were monitored before, during, and immediately after 45-min EECP.ResultsEDV and VS/VD were significantly reduced, while RI of CCAs was significantly increased among four groups during EECP (all P &lt; 0.01). Additionally, the ID of CCAs and the FR of left CCA increased in patients with hyperlipidemia during EECP (P &lt; 0.05). PSV of left CCA was reduced in patients with type 2 diabetes (P &lt; 0.05). Moreover, immediately after EECP, ID was significantly higher in patients with hyperlipidemia. The RI of patients with hypertension and PSV and VS/VD of patients with type 2 diabetes were significantly lower compared with baseline (all P &lt; 0.05).ConclusionEECP created an acute reduction in EDV, PSV, and VS/VD, and an immediate increase in the RI, FR, and ID of CCAs among the four groups. Additionally, a single 45-min session of EECP produced immediate improvement in the ID of patients with hyperlipidemia, the RI of patients with hypertension, and the PSV and VS/VD of patients with type 2 diabetes. The different hemodynamic responses induced by EECP may provide theoretical guidance for making personalized plans in patients with different cardiovascular risk factors.

scholarly journals Disease overarching mechanisms that explain and predict outcome of patients with high cardiovascular risk: rationale and design of the Berlin Long-term Observation of Vascular Events (BeLOVE) study

2019 ◽  
Author(s):  
Bob Siegerink ◽  
Joachim Weber ◽  
Michael Ahmadi ◽  
Kai-Uwe Eckardt ◽  
Frank Edelmann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Cardiovascular Events ◽  
Target Organ Damage ◽  
Organ Damage ◽  
High Cardiovascular Risk

Background: Cardiovascular disease (CVD) is the leading cause of premature death worldwide. Effective and individualized treatment requires exact knowledge about both risk factors and risk estimation. Most evidence for risk prediction currently comes from population-based studies on first incident cardiovascular events. In contrast, little is known about the relevance of risk factors for the outcome of patients with established CVD or those who are at high risk of CVD, including patients with type 2 diabetes. In addition, most studies focus on individual diseases, whereas less is known about disease overarching risk factors and cross-over risk. Aim: The aim of BeLOVE is to improve short- and long-term prediction and mechanistic understanding of cardiovascular disease progression and outcomes in very high-risk patients, both in the acute as well as in the chronic phase, in order to provide the basis for improved, individualized management. Study design: BeLOVE is an observational prospective cohort study of patients of both sexes aged >18 in selected Berlin hospitals, who have a high risk of future cardiovascular events, including patients with a history of acute coronary syndrome (ACS), acute stroke (AS), acute heart failure (AHF), acute kidney injury (AKI) or type 2 diabetes with manifest target-organ damage. BeLOVE includes 2 subcohorts: The acute subcohort includes 6500 patients with ACS, AS, AHF, or AKI within 2-8 days after their qualifying event, who undergo a structured interview about medical history as well as blood sample collection. The chronic subcohort includes 6000 patients with ACS, AS, AHF, or AKI 90 days after event, and patients with type 2 diabetes (T2DM) and target-organ damage. These patients undergo a 6-8 hour deep phenotyping program, including detailed clinical phenotyping from a cardiological, neurological and metabolic perspective, questionnaires including patient-reported outcome measures (PROMs)as well as magnetic resonance imaging. Several biological samples are collected (i.e. blood, urine, saliva, stool) with blood samples collected in a fasting state, as well as after a metabolic challenge (either nutritional or cardiopulmonary exercise stress test). Ascertainment of major adverse cardiovascular events (MACE) will be performed in all patients using a combination of active and passive follow-up procedures, such as on-site visits (if applicable), telephone interviews, review of medical charts, and links to local health authorities. Additional phenotyping visits are planned at 2, 5 and 10 years after inclusion into the chronic subcohort. Future perspective: BeLOVE provides a unique opportunity to study both the short- and long-term disease course of patients at high cardiovascular risk through innovative and extensive deep phenotyping. Moreover, the unique study design provides opportunities for acute and post-acute inclusion and allows us to derive two non-nested yet overlapping sub-cohorts, tailored for upcoming research questions. Thereby, we aim to study disease-overarching research questions, to understand crossover risk, and to find similarities and differences between clinical phenotypes of patients at high cardiovascular risk.

scholarly journals Management of Cardiovascular Risk Factors in High Risk Patients: Correlates of Quality of Care

2013 ◽  
Vol 52 (4) ◽  
pp. 263-274 ◽  
Author(s):  
Davorina Petek ◽  
Janko Kersnik
Keyword(s):  
Risk Factors ◽  
Quality Of Care ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Cardiovascular Risk Factors ◽  
High Risk Patients ◽  
Risk Patients

Izvleček Izhodišča: Bolezni srca in ožilja (BSO) predstavljajo vodilni vzrok smrti v večini evropskih držav, njihovo preprečevanje pa predstavlja pomembno nalogo osnovnega zdravstvenega varstva. Ocena dejavnikov tveganja in usmerjene preventivne aktivnosti so posebej pomembne pri visokoogroženih bolnikih. Pomembno je poznati tudi dejavnike, ki vplivajo na uspešnost preventive teh bolezni. Metode: V presečno raziskavo je bilo z naključnim stratificiranim vzorčenjem vključenih 36 slovenskih ambulant. Vsaka ambulanta je iz registra visokoogroženih vključila 30 bolnikov, ki so izpolnili vprašalnik o življenjskem slogu, kakovosti življenja, samooceni zdravja in o uporabi zdravstvenih storitev. Vir podatkov o dejavnikih tveganja BSO so bile kartoteke bolnikov, z vprašalnikom o ambulanti pa so bila pridobljena vprašanja o obremenjenosti, projektih kakovosti, izobraževanju, informacijski tehnologiji, o preventivnih aktivnostih. Rezultati: Sodelovalo je 871 bolnikov iz 36 ambulant (80,6 % predvidenega vzorca), starih 62,4 leta (SD±8,6). 22,4 % je bilo kadilcev; priporočeno raven aerobne telesne aktivnosti je vzdrževalo 330 (48,8 %) sodelujočih, najmanj urejen dejavnik tveganja pa je bil indeks telesne mase (29,3kg/m2). V multivariatnem modelu so vsi dejavniki (ambulante, bolniki in zdravniki) statistično značilno napovedali urejenost dejavnikov tveganja (p<0,005, F=2,7, R2 =0,087). Neodvisne spremenljivke bolje urejenih dejavnikov tveganja so bile: ženski spol, višja starost in višja izobrazba bolnika, uporaba informacijskega sistema v ambulanti, organizacija srčno-žilne preventive in zdravnikova profesionalna aktivnost v projektih preventive. Zaključki: Urejenost dejavnikov tveganja je v največji meri odvisna od značilnosti ambulante, predvsem organizacije na področju preventive, ter od strokovne aktivnosti zdravnika. Vplivajo tudi nekatere splošne značilnosti bolnika. Pomembni so še drugi dejavniki, ki niso bili vključeni v model.

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