| Literature DB >> 30793549 |
Abstract
The burden of diabetic cardiovascular autonomic neuropathy (CAN) is expected to increase due to the diabetes epidemic and its early and widespread appearance. CAN has a definite prognostic role for mortality and cardiovascular morbidity. Putative mechanisms for this are tachycardia, QT interval prolongation, orthostatic hypotension, reverse dipping, and impaired heart rate variability, while emerging mechanisms like inflammation support the pervasiveness of autonomic dysfunction. Efforts to overcome CAN under-diagnosis are on the table: by promoting screening for symptoms and signs; by simplifying cardiovascular reflex tests; and by selecting the candidates for screening. CAN assessment allows for treatment of its manifestations, cardiovascular risk stratification, and tailoring therapeutic targets. Risk factors for CAN are mainly glycaemic control in type 1 diabetes mellitus (T1DM) and, in addition, hypertension, dyslipidaemia, and obesity in type 2 diabetes mellitus (T2DM), while preliminary data regard glycaemic variability, vitamin B12 and D changes, oxidative stress, inflammation, and genetic biomarkers. Glycaemic control prevents CAN in T1DM, whereas multifactorial intervention might be effective in T2DM. Lifestyle intervention improves autonomic function mostly in pre-diabetes. While there is no conclusive evidence for a disease-modifying therapy, treatment of CAN manifestations is available. The modulation of autonomic function by SGLT2i represents a promising research field with possible clinical relevance.Entities:
Keywords: Autonomic nervous system; Cardiovascular system; Diabetic neuropathies; Diagnosis; Epidemiology; Glucagon-like peptide-1 receptor; Hypotension, orthostatic; Prognosis; Sodium-glucose transporter 2 inhibitors; Therapeutics
Year: 2019 PMID: 30793549 PMCID: PMC6387879 DOI: 10.4093/dmj.2018.0259
Source DB: PubMed Journal: Diabetes Metab J ISSN: 2233-6079 Impact factor: 5.376
Studies evaluating the presence of CAN in pre-diabetes
| Study | Study design and setting | No. and category | CAN measures | CAN prevalence | Differences vs. NGT | CAN correlatesa |
|---|---|---|---|---|---|---|
| Annuzzi et al. (1983) [ | Hospital diabetes clinic; Italy | 124 NGT, 62 IGT | DB | Not provided | No differences | Age, BMI |
| Fujimoto et al. (1987) [ | Community-based study; USA (Japanese-American men) | 79 NGT, 72 IGT | DB | Not provided | No differences | Fasting glucose |
| Gerritsen et al. (2000) [ | Hoorn study; the Netherlands | 288 NGT, 169 IGT | Short-term HRV, BRS, DB, LS, OH | Not provided | ↓SDNN | Age, antihypertensive drugsa |
| Singh et al. (2000) [ | Framingham Heart Study; USA | 1,779 NFG, 56 IFG | Short-term HRV | Not provided | ↓SDNN, HF and LF. Differences no more present after adjusting for covariates | Fasting glucose |
| Schroeder et al. (2005) [ | ARIC study; USA | 5,410 NFG, 3,561 IFG | Short-term HRV | Not provided | ↓RR interval and rMSSD at baseline. No differences in the rate of change in HRV | Fasting glucose (weak association at baseline) |
| Perciaccante et al. (2006) [ | Hospital diabetes clinic; Italy | 20 control, 20 IFG, 20 IGT | 24 hr HRV | Not provided | ↓SDNN, low TP, and ↑LFnu in IFG and IGT | HOMA-I |
| Stein et al. (2007) [ | Cardiovascular Health Study; USA | 536 NFG, 545 IFG | 24 hr HRV | Not provided | ↓RR interval, SDNN and TP in IFG subgroup 2 (fasting glucose 6.1–6.9 mmol/L) | Fasting glucose, metabolic syndrome componentsa |
| Wu et al. (2007) [ | Population-based study; Taiwan | 983 NGT, 163 IFG, 188 IGT | Short-term HRV, DB, LS | Not provided | ↓SDNN and DB in IFG and IGT; ↓LS and HF in IGT; only IGT associated with LS, HF power and LF:HF after adjustment | Not provided |
| Isak et al. (2008) [ | University clinic; Turkey | 25 NGT, 25 IGT | DB, LS, VM, OH, Handgrip, Sudomotor function | Not provided | No differences apart from in sympathetic skin response | Not provided |
| Laitinen et al. (2011) [ | Finnish Diabetes Prevention Study; Finland | 268 IGT | DB, OH | 25% Abnormal DB, 6% abnormal OH | Not provided (no control group) | Age, BMI, waist, triglycerides (in men) |
| Putz et al. (2013) [ | Hospital diabetes clinic; Hungary | 40 NGT, 75 IGT | DB, LS, VM, OH Handgrip test, Triangle index | IGT: 57.5% one abnormal test | ↓DB, Valsalva ratio, OH, handgrip test, and triangle index | Not provided |
| Ziegler et al. (2015) [ | KORA S4 Study; Germany (55–74 yr) | 565 NGT, 336 IFG, 72 IGT, 151 IFG-IGT | 4 Out of 120 short-term HRV indices | NGT: 4.5% | 4 and 6 HRV measures more frequently abnormal in IFG and IFG-IGT, respectively | HR, BMI, hypertension, smoking, creatinine, drugs suppressing HRV as predictors of diminished HRVa |
| IFG: 8.1% | ||||||
| IGT: 5.9% | ||||||
| IFG-IGT: 11.4% | ||||||
| Tiftikcioglu et al. (2016) [ | Hospital neurology clinic; Turkey | 30 NGT, 25 IGT | Short-term HRV, Sudomotor function | Not provided | ↓SDNN, CV, TP, LF, LF:HF in IGT | Not provided |
| Dimova et al. (2017) [ | Hospital diabetes clinic; Bulgaria | 1,130 NGT, 25 IFG, 102 IGT | 8 Short-term HRV indices | NGT: 12.3% | ↓Sympathetic and parasympathetic spectral indices in IFG and IGT | Age, QTc-i, waist for sympathetic and parasympathetic indices;a DBP, 2 hr BG for sympathetic indicesa |
| IFG: 13.2% | ||||||
| IGT: 20.6% |
CAN, cardiovascular autonomic neuropathy; NGT, normal glucose tolerance; IGT, impaired glucose tolerance; DB, deep breathing; BMI, body mass index; HRV, heart rate variability; BRS, baroreflex sensitivity; LS, lying to standing; OH, orthostatic hypotension; SDNN, standard deviation of NN intervals; IFG, impaired fasting glucose; HF, high-frequency spectral component of heart rate variability; LF, low-frequency spectral component of heart rate variability; RR, coefficient of variation; rMSSD, root means successive square difference; TP, total power of heart rate variability; nu, normalized units; HOMA-I, homeostatic model assessment index; VM, Valsalva manoeuvre; QTc-i, corrected QT interval; DBP, diastolic blood pressure; BG, blood glucose.
aVariables found to be related to CAN in multivariate analysis.
Fig. 1Mechanisms of sympathetic overactivity in insulin resistant conditions and obstructive sleep apnoea syndrome (OSAS). Sympathetic overactivity in insulin resistant conditions is attributed to an insulin-driven sympathetic activation through a peripheral mechanism at play in acute conditions (insulin causes endothelial-dependent vasodilatation resulting in baroreflex-mediated sympathetic activation), and a central mechanism mainly present in chronic conditions of hyperinsulinemia (insulin operates in the paraventricular nucleus of hypothalamus and the arcuate nucleus). Moreover, insulin-induced carotid body overactivity has been demonstrated in animal models of insulin resistance (insulin receptors have been found on carotid bodies) [18]. A role of carotid chemoreceptors in a long-term insulin-mediated increase in sympathetic activity in humans has been also suggested [19]. Comorbid OSAS leads to chemoreflex upregulation due to nocturnal chronic intermittent hypoxia and arousals, therefore fostering sympathetic activation. Modified from Greco et al. [19] with permission from Bentham Science Publishers. CNS, central nervous system.
Fig. 2Multiple factors in the relationship between metabolic syndrome and autonomic dysfunction. In addition to obstructive sleep apnoea syndrome (OSAS) with its consequences including microbiota perturbation [19], other factors in metabolic syndrome able to cause autonomic dysfunction are: obesity (also independently of dysglycemia) [24], liver steatosis [20], leptin (as a sympathetic activator) [19], and inflammation and neuroinflammation at hypothalamic level [2122]. Most of these components of metabolic syndrome have a bidirectional relationship with autonomic dysfunction, for example with respect to the autonomic regulation of the immune system and inflammation [23]. The end result of this complex system can be the exacerbation of metabolic derangements at different levels [1924], as well as of cardiovascular effects. IFG-IGT, impaired fasting glucose and/or impaired glucose tolerance; NAFLD, non-alcoholic fatty liver disease.
Studies evaluating the predictive value of CAN for progression of diabetic nephropathy
| Study | No. and type | CAN testing | Follow-up, yr | Kidney function outcomes |
|---|---|---|---|---|
| Sundkvist et al. (1993) [ | 35 T1DM | DB, Tilt test | 10 | CAN predictor of D GFR and associated with ↓GFR |
| Weinrauch et al. (1998) [ | 26 T1DM with proteinuria | DB, LS, VM | 1 | VM predictor of D creatinine and renal failure |
| Burger et al. (2002) [ | 23 T1DM with macroalbuminuria | DB, LS, VM, HRV indices | 1 | HRV indexes associated with D GFR ≥8 mL/min |
| Forsen et al. (2004) [ | 58 T1DM | DB, Tilt test, OH | 7–14 | DB associated with 14 years UAE OH predictor of 7 years D GFR |
| Astrup et al. (2006) [ | 388 T1DM with micro-macroalbuminuria | DB | 10 | DB not predictor of D GFR |
| Maguire et al. (2007) [ | 137 T1DM with normoalbuminuria | Pupillary light test | 12 | Small pupil size predictor of micro |
| Kim et al. (2009) [ | 156 T2DM with normoalbuminuria | DB, LS, VM, OH | 9 | DB predictor of D eGFR |
| Brotman et al. (2010) [ | 13,241 (1,523 with diabetes) | Heart rate, HRV indices | 16 | Heart rate and HRV predictors of ESRD |
| Tahrani et al. (2014) [ | 204 T2DM without ESDR | DB, LS, VM, OH | 2.5 | CAN predictor of eGFR decline |
| Orlov et al. (2015) [ | 204 T1DM with normoalbuminuria | MCR during DB | 14 | MCR <20 predictor of eGFR loss (odds ratio, 4.09) and of CKD stage ≥3 |
| Yun et al. (2015) [ | 755 T2DM without CKD | DB, LS, VM, OH | 9.6 | Confirmed CAN predictor of CKD (hazard ratio, 2.62) |
CAN, cardiovascular autonomic neuropathy; T1DM, type 1 diabetes mellitus; DB, deep breathing; GFR, glomerular filtration rate; LS, lying to standing; VM, Valsalva manoeuvre; HRV, heart rate variability; OH, orthostatic hypotension; UAE, urinary albumin excretion; T2DM, type 2 diabetes mellitus; eGFR, estimated glomerular filtration rate; ESRD, end-stage renal disease; MCR, mean circular resultant; CKD, chronic kidney disease.
Fig. 3Multifactorial pathogenesis of nondipping in diabetes. In addition to the central role of autonomic derangement, insulin resistance in type 2 diabetes mellitus and diabetes-associated obstructive sleep apnoea syndrome (OSAS) can induce chemoreflex upregulation and baroreflex impairment, and reinforce sympathetic overactivity. In advanced cardiovascular autonomic neuropathy (CAN), orthostatic hypotension can favour nondipping through postural changes in blood volume and supine hypertension. Moreover, there is documentation that the fluid redistribution from the extra to the intravascular compartment in the presence of proteinuria, the mechanism of compensatory nocturnal pressure-natriuresis in salt-sensitive hypertension and in renal failure, the sleep loss so common in diabetes, and even the neuropathic pain may act as contributory factors. Adapted from Spallone [77], with permission from Springer Nature.
Guidelines of scientific societies on screening and diagnosis of CAN in clinical practice, with regard to the indications of assessment modalities, and the candidates to screening
| Toronto Consensus (2011) [ | Position Statement ADA (2017) [ | Position Statement AACE/ACE (2018) [ | SID/AMD Standards (2018) [ | |
|---|---|---|---|---|
| Symptoms | Screening | Screening | Screening | Screening |
| Signs | Screening | Screening | Screening | Screening |
| CARTs | Gold standard for diagnosis | Possible utility in asymptomatic patients | Screening | Diagnosis |
| HRV (time- and frequency-domain indices) | Prognostic information | Research | Clinical use in addition to CARTs | Research |
| Candidates | Universal screening of symptoms and signs | Those with microvascular complications and/or hypoglycaemia unawareness | Those with T2DM from diagnosis, or T1DM after 5 years | In particular in those with high CV risk and complications |
CAN, cardiovascular autonomic neuropathy; ADA, American Diabetes Association; AACE, American Association of Clinical Endocrinologists; ACE, American College of Endocrinology; SID, Italian Society of Diabetology; AMD, Italian Association of Clinical Diabetologists; CART, cardiovascular autonomic reflex test; HRV, heart rate variability; T2DM, type 2 diabetes mellitus; T1DM, type 1 diabetes mellitus; CV, cardiovascular.
Fig. 4(A) Clinical effectiveness of cardiovascular autonomic neuropathy (CAN) diagnosis in clinical forms of CAN and (B) the awareness of CAN for the therapeutic strategy in asymptomatic forms of CAN. QTi, QT interval; BP, blood pressure; ANS, autonomic nervous system.
Fig. 5Interaction between sodium glucose transporter 2 inhibitor (SGLT2i) and sympathetic nervous system. NE, norepinephrine; T2DM, type 2 diabetes mellitus; BP, blood pressure; MSNA, muscle sympathetic nerve activity.
Fig. 6Glucagon-like peptide 1 receptor agonists (GLP1-RAs) and autonomic nervous system. HR, heart rate; HRV, heart rate variability; SNS, sympathetic nervous system; MSNA, muscle sympathetic nerve activity; T2DM, type 2 diabetes mellitus; BP, blood pressure; GLP-1 R, glucagon-like peptide 1 receptor.
Studies in diabetes exploring the effects on BP levels and outcomes of bedtime administration of antihypertensive drugs
| Study | Design | Population | Methodology | Results | Comments | |
|---|---|---|---|---|---|---|
| BP | Cardiovascular outcomes | |||||
| Tofe Povedano et al. (2009) [ | Open-label crossover study | 40 T2DM, hypertensive subjects | Olmesartan 40 mg in the morning or at bedtime | ↓Nighttime =24 hr | Not evaluated | |
| 16 wk | ||||||
| Hermida et al. (2011) [ | Randomized, open-label, blinded end-point study | 448 T2DM, hypertensive subjects | All hypertension medications upon waking or ≥1 at bedtime | ↓Nighttime =24 hr | ↓Mortality and events | 12% risk reduction per each 5 mm Hg decrease in nighttime systolic BP during follow-up |
| 5.6 yr (MAPEC study) | ||||||
| Rossen et al. (2014) [ | Open-label crossover study | 41 T2DM subjects with nocturnal hypertension | Morning or bedtime administration of all antihypertensive drugs | ↓Nighttime ↓24 hr =Daytime | Not evaluated | ↑Morning urinary sodium/creatinine. |
| 16 wk | ||||||
| Hjortkjaer et al. (2016) [ | Randomized, placebo-controlled, double-blind crossover study | 24 T1DM subjects with CAN and nondipping | Bedtime versus morning dosing of enalapril 20 mg (plus other medications) | ↑Dipping =BP | Not evaluated | No effects on left ventricular hypertrophy |
| 24 wk | ||||||
BP, blood pressure; T2DM, type 2 diabetes mellitus; MAPEC, Monitorización Ambulatoria para Predicción de Eventos Cardiovasculares; T1DM, type 1 diabetes mellitus; CAN, cardiovascular autonomic neuropathy.