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Erschienen in: BMC Geriatrics 1/2023

Open Access 01.12.2023 | Research article

Effect of statin treatment on mortality in elderly patients with type 2 diabetes mellitus patients: a retrospective cohort study

verfasst von: Yao Fan, Juan Wang, Haidi Wu, Lingli Dai, Lan Wang, Liubao Gu

Erschienen in: BMC Geriatrics | Ausgabe 1/2023

Abstract

Background

The effects of statins on the reduction of mortality in individuals aged 75 years or older remain controversial. We conducted this study to investigate whether there is an association between statin therapy and mortality in patients with type 2 diabetes mellitus (T2DM) who are over the age of 75 years.

Methods

The present study used data from the Staged Diabetes Targeting Management Study, which began in 2005. A total of 518 T2DM patients older than 75 years were included. Cox regression analyses were used to evaluate the association between statins and specific causes of death in patients with T2DM.

Results

After a follow-up period of 6.09 years (interquartile range 3.94–8.81 years), 111 out of 518 patients died. The results of Cox regression analyses showed that there was no significant association between statin use and all-cause mortality (HR 0.75; 95% CI 0.47, 1.19) after adjustment for all potential confounders. Subgroup analysis indicated that statins had no association with the risk of all-cause mortality or deaths caused by ischemic cardiovascular diseases in T2DM patients with or without coronary heart disease.

Conclusions

Our study found no significant association between all-cause mortality and statin use in T2DM patients over the age of 75 years. More evidence is needed to support the use of statins in the elderly T2DM patients.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12877-023-04252-y.
Yao Fan and Juan Wang are co-first authors.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
ASCVD
Atherosclerotic cardiovascular diseases
CHD
Coronary heart disease
IS
Ischemic stroke
RCTs
Randomized clinical trials
T2DM
Type 2 diabetes mellitus
SDTM
Staged Diabetes Targeting Management
BMI
Body mass index
UA
Uric acid
HbA1c
Glycated hemoglobin
TC
Total cholesterol
TG
Triglycerides
HDL-C
High-density lipoprotein cholesterol
LDL-C
Low-density lipoprotein cholesterol
Scr
Serum creatinine
eGFR
Estimated glomerular filtration rate
CCVD
Cardiovascular and cerebrovascular disease
HS
Hemorrhagic stroke
HR
Hazard ratio
CI
Confidence interval
FBG
Fasting blood glucose
PBG
Postprandial blood glucose
Hb
Hemoglobin
PSM
Propensity score match

Background

Atherosclerotic cardiovascular diseases (ASCVD) are the leading cause of death in most parts of the world [1, 2], with coronary heart disease (CHD) and ischemic stroke (IS) accounting for 42% and 35% of global cardiovascular mortality, respectively [2]. Statins are first-line evidence-based drugs for the management of dyslipidemia and for secondary prevention of ASCVD events across age groups [3, 4]. A number of studies have demonstrated that in addition to its cholesterol lowering effect, statins also show pleiotropic effects such as modulating immune responses, and inhibiting subclinical inflammation and oxidative stresses [5, 6]. In addition, the benefits of statins for primary prevention in subjects under 75 years old have been well established based on multiple randomized clinical trials (RCTs), except for those over 75 years of age [710].
The advantage of statins for primary prevention of cardiovascular events and mortality in patients over 75 years old remains controversial, mainly because there is significantly less evidence for this age group and the risk for statin-related harms increases with age, which could potentially offset their positive effects [1115]. Most of the available evidence regarding statin use for primary prevention of ASCVD in these patients is derived from subgroup analyses of RCTs. However, the US Preventive Services Task Force concluded in a recent review that older people are underrepresented in trials and there is insufficient evidence to draw a robust conclusion about the balance between benefits and harms of statins for primary prevention in this age group [11, 12]. Recently, it was revealed by an individual participant data meta-analysis including 28 RCTs that statin therapy resulted in a significant reduction of major vascular events irrespective of age, but there is less evidence of benefit among participants older than 75 years without previous vascular diseases (primary prevention) [15]. Consistently, two recently published real-world retrospective studies also found that use of statins was not associated with a lower risk of outcomes including all-cause death in the primary prevention among individuals without diabetes or other modifiable risk factors [13, 14].
It was well known that patients with type 2 diabetes mellitus (T2DM) have a similar risk of ASCVD to those with a history of cardiovascular disease [16]. Interestingly, statin use was significantly associated with reduced incident ASCVD and all cause mortality in diabetic patients without clinically recognized ASCVD in Spanish population [13]. Against this background, we undertook this study to investigate whether there is an association between statin therapy and mortality in patients with T2DM over the age of 75 years in Chinese population.

Methods

Patients

The present study was conducted using the data taken from the Staged Diabetes Targeting Management (SDTM) Study [17, 18], which was started since 2005 as a continuous structured diabetes care program in Jiangsu Province Official Hospital. All patients were managed according to the Staged Diabetes Management protocol adopted from International Diabetes Center (Minneapolis, US) [19], and the information of each visit was recorded online (www.​chinasdtm.​com). The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki and has been approved by the Ethical Committee, Jiangsu Province Official Hospital, Nanjing. Informed consent was obtained from all patients at the time of first assessment to allow use of their data for research purposes.

Clinical and laboratory data

The information recorded in the SDTM study has been described [20, 21]. Briefly, body weight, height and blood pressure were measured by the diabetic specialist nurses according to standard protocols. Body mass index (BMI) was calculated as the ratio of the weight (kg) to squared height (m2). Details on personal information, history of disease and current use of medications were also obtained from all patients through interviews by the nurses. Blood tests were carried out after an overnight fasting for glucose, lipid profiles, uric acid (UA), renal/liver functions and glycated hemoglobin (HbA1c). Glucose, total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and serum creatinine (Scr) were measured using Hitach 7060 automated analyzer (Hitachi Koki Co. Ltd., Hitachinaka City, Japan). HbA1c was measured by Bio-rad Diamat high-performance liquid chromatography analyzer (Bio-Rad Labs., Brea, CA, USA). Estimated glomerular filtration rate (eGFR) was calculated using the CKD-EPI equation [22].

Outcomes

The incident endpoint events of all-cause mortality and the causes of death including ischemic cardiovascular diseases (CHD and IS), cardiovascular and cerebrovascular disease (CCVD) (including IS, CHD and hemorrhagic stroke (HS)), cancer, respiratory system disease and renal failure were collected from the SDTM database. In addition, telephone-interviews were performed by diabetic specialist nurses to confirm the status of 518 participants in January 2018. Finally, all the mortality data were further verified through the resident database from local centers for disease control system as well.

Statistical analysis

Statistical analysis was conducted using the SPSS (version 20.0) software. Variables were assessed for the full cohort and stratified by statin use. All data are expressed as mean ± standard deviation, median (interquartile range) or percentage, where appropriate. Unpaired student’s t-test was used to compare differences between two groups. Rates were compared using the χ 2 test. The effect of statins on all-cause mortality, and deaths caused by ischemic cardiovascular disease, HS, cancer, respiratory system disease and renal failure were analyzed and in subgroups stratified by the presence or absence of prior CHD. The hazard ratio (HR) and 95% confidence interval (CI) by Cox regression were used to estimate the association between statins and specific death of T2DM. Variables those were significant in univariable analyses and had biological plausibility were entered into multivariate Cox regression models.

Results

Characteristics of study population

A total of 4285 diabetic patients were enrolled in the SDTM study until January 2018. After excluding those who younger than 75 years at baseline (N = 3524), loss to follow-up (N = 195), had a history of type 1 diabetes, glutamic acid decarboxylase positive or impaired glucose regulation at baseline (N = 19), missing data for key variables (N = 29), we had the complete data of 518 patients with T2DM for the final analysis (Fig. 1). Characteristics of participants included in and excluded from the study were shown in Table S1.
Of the 518 participants, there were 307 (59.27%) men and 211 (40.73%) women, with a mean age of 79.82 ± 3.50 years. The clinical and metabolic characteristics of the subjects grouped by the use of statins were shown in Table 1. Generally, the subjects using statins have higher levels of BMI, systolic blood pressure (SBP), fasting blood glucose (FBG), postprandial blood glucose (PBG), HbA1c levels, and lower hemoglobin (Hb) levels (Table 1).
Table 1
Baseline characteristics of the study population according to using of statins
 
Before PSM
  
p -value
After PSM
  
p -value
Characteristics
All subjects
Statins
Without Stains
All subjects
Statins
Without Stains
 
n  = 518
N  = 228
N  = 290
n  = 232
N  = 116
N  = 116
Sex (male, %) a
307(59.27)
118 (51.75)
189 (65.17)
0.002*
141 (60.78)
69 (59.48)
72 (62.07)
0.687
Age (years) b
79.82 ± 3.50
80.24 ± 3.76
79.48 ± 3.25
0.016*
80.59 ± 3.79
80.48 ± 4.00
80.70 ± 3.57
0.650
BMI (kg/m2) b
24.58 ± 3.52
25.13 ± 3.73
24.15 ± 3.29
0.002*
24.58 ± 3.40
24.46 ± 3.31
24.70 ± 3.50
0.597
Smoking (yes, %) a
60 (11.58)
24 (10.53)
36 (12.41)
0.517
29 (12.50)
12 (10.34)
17 (14.66)
0.321
Drinking (yes, %) a
38 (7.34)
16 (7.02)
22 (7.59)
0.805
12 (5.17)
4 (3.45)
8 (6.90)
0.236
SBP (mmHg) b
133.22 ± 15.54
134.92 ± 16.37
131.87 ± 14.74
0.027*
134.08 ± 16.55
134.09 ± 17.17
134.06 ± 15.97
0.987
DBP (mmHg) b
73.61 ± 9.39
74.25 ± 9.79
73.11 ± 9.04
0.172
73.14 ± 9.74
73.74 ± 9.75
72.54 ± 9.75
0.350
Microalbuminuria (mg/g) c
26.00 (12.00, 68.00)
29.70 (14.60, 74.30)
21.00 (10.35, 65.00)
0.094
22.41 (11.03, 68.00)
26.66 (13.98, 63.01)
18.00 (10.00, 75.50)
0.309
Hb(g/L) b
127.14 ± 16.54
125.32 ± 14.95
128.95 ± 17.84
0.022*
127.7 ± 15.56
127.54 ± 14.41
127.86 ± 16.70
0.876
FBG (mmol/L) b
7.33 ± 2.32
7.63 ± 2.48
7.09 ± 2.16
0.010*
7.27 ± 2.35
7.46 ± 2.57
7.09 ± 2.12
0.233
PBG (mmol/L) b
12.47 ± 4.43
13.44 ± 4.57
11.61 ± 4.12
 < 0.001*
12.64 ± 4.16
12.71 ± 4.25
12.58 ± 4.09
0.823
HbA1c (mmol/L) b
7.72 ± 1.86
8.24 ± 2.04
7.30 ± 1.59
 < 0.001*
7.81 ± 1.80
7.83 ± 1.75
7.79 ± 1.85
0.873
TC (mmol/L) b
4.50 ± 1.09
4.48 ± 1.19
4.52 ± 1.00
0.702
4.33 ± 1.09
4.37 ± 1.20
4.30 ± 0.98
0.603
TG (mmol/L) b
1.50 ± 0.89
1.45 ± 0.79
1.54 ± 0.97
0.292
1.48 ± 0.91
1.46 ± 0.90
1.50 ± 0.92
0.717
HDL-C (mmol/L) b
1.15 ± 0.35
1.14 ± 0.31
1.16 ± 0.39
0.642
1.10 ± 0.35
1.12 ± 0.25
1.08 ± 0.42
0.360
LDL-C (mmol/L) b
2.66 ± 0.88
2.64 ± 0.99
2.67 ± 0.78
0.652
2.54 ± 0.89
2.54 ± 1.02
2.53 ± 0.73
0.925
eGFR [mL/(min·1.73 m2)] b
69.04 ± 16.59
69.65 ± 16.86
68.51 ± 16.38
0.448
69.32 ± 15.72
70.87 ± 16.62
67.78 ± 14.69
0.137
AST (U/L) b
21.68 ± 9.29
20.82 ± 7.98
22.44 ± 10.26
0.054
20.53 ± 7.92
20.81 ± 8.50
20.22 ± 7.30
0.581
ALT (U/L) b
20.56 ± 17.81
19.46 ± 12.30
21.49 ± 21.38
0.208
19.12 ± 11.52
19.39 ± 12.74
18.85 ± 10.18
0.721
GTT (U/L) c
22.00 (15.00, 33.00)
23.00 (16.00, 35.00)
21.00 (14.00, 32.00)
0.190
21.5 (15.00, 33.25)
22.00 (15.00, 35.00)
21.00 (14.00, 32.00)
0.574
UA (mmol/L)b
341.96 ± 93.70
338.21 ± 91.62
345.18 ± 95.51
0.411
337.59 ± 88.90
331.69 ± 87.68
343.49 ± 90.10
0.313
Medical history
 CHD (yes, %) a
127 (24.52)
70 (30.70)
57 (19.66)
0.004*
54 (23.28)
27 (23.28)
27 (23.28)
 > 0.999
 HT (yes, %) a
349 (67.37)
178 (78.07)
171 (58.97)
 < 0.001*
162 (69.83)
80 (68.97)
82 (70.69)
0.775
Medication
 Calcium channel blocker (yes, %) a
194 (37.45)
90 (39.47)
104 (35.86)
0.399
97 (41.81)
48 (41.38)
49 (42.24)
0.894
 Angiotensin Receptor Blocker (yes, %) a
225 (43.44)
116 (50.88)
109 (37.59)
0.002*
115 (49.57)
54 (46.55)
61 (52.59)
0.358
 Sulfonylureas (yes, %) a
152(29.34)
53 (23.25)
99 (34.14)
0.007*
58 (25.00)
29 (25.00)
29 (25.00)
 > 0.999
 Insulin (yes, %) a
167 (32.24)
89 (39.04)
78 (26.90)
0.003*
90 (38.79)
46 (39.66)
44 (37.93)
0.788
 Metformin (yes, %) a
121 (23.36)
71 (31.14)
50 (17.24)
 < 0.001*
52 (22.41)
28 (24.14)
24 (20.69)
0.529
 Beta blockers (yes, %) a
122 (23.55)
69 (30.26)
53 (18.28)
0.001*
55 (23.71)
27 (23.28)
28 (24.14)
0.877
 Aspirin(yes, %) a
294 (56.76)
176 (77.19)
118 (40.69)
 < 0.001*
156 (67.24)
77 (66.38)
79 (68.10)
0.780
Abbreviations: PSM propensity score match, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, Hb hemoglobin, FBG fasting blood glucose, PBG postprandial blood glucose, HbA1c glycated hemoglobin, TC total cholesterol, TG triglycerides, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, eGFR estimated glomerular filtration rate, AST aspartate transaminase, ALT alanine transaminase, GTT glutamyltranspeptidase, UA uric acid, CHD coronary heart disease, HT hypertension
* p-value < 0.05
aData are expressed as Number (percentage), p-values refer to Chi square test
bData are expressed as Mean (SD), p-values refer to t test
cNon-parameter Mann–Whitney U-Test., p-value was shown in the table
Furthermore, we performed propensity score matching (PSM) model by key variables at baseline, including sex, age, BMI, SBP, Hb, HbA1c, HDL-C, CHD, HT, calcium channel blocker, angiotensin receptor blocker, sulfonylureas, insulin, metformin, beta blockers. After PSM, 116 pairs of participants were included. There were no difference of variables between groups (Table 1).

Characteristics of population with different outcomes

The median follow-up period was 6.09 years (interquartile range 3.94–8.81 years). During the follow-up, 111 patients died, including 23 caused by ischemic cardiovascular disease, 27 by CCVD, 21 by cancer, 15 by respiratory system disease, 6 by renal failure and 19 by other conditions. As shown in Table 2, age, microalbuminuria, PBG, and UA showed higher levels in the group of patients who died, while HDL-C and eGFR showed lower levels.
Table 2
Baseline characteristics of the study population according to death
Characteristics
Survival
Death
p-value
N  = 407
N  = 111
Sex (male, %) a
234 (57.49)
73 (65.77)
0.116
Age (years) b
79.62 ± 3.38
80.54 ± 3.86
0.023*
BMI (kg/m2) b
24.55 ± 3.51
24.68 ± 3.58
0.746
Smoking (yes, %) a
48 (11.79)
12 (10.81)
0.768
Drinking (yes, %) a
34 (8.35)
4 (3.60)
0.089
SBP (mmHg) b
132.81 ± 15.56
134.73 ± 15.47
0.252
DBP (mmHg) b
73.50 ± 9.54
74.01 ± 8.83
0.616
Microalbuminuria (mg/g) c
21.97 (10.75, 48.87)
53.00 (18.00, 161.00)
 < 0.001*
Hb(g/L) b
127.73 ± 15.59
125.16 ± 19.35
0.173
FBG (mmol/L) b
7.27 ± 2.16
7.54 ± 2.82
0.290
PBG (mmol/L) b
12.12 ± 4.23
13.84 ± 4.94
0.004*
HbA1c (mmol/L) b
7.65 ± 1.85
7.98 ± 1.88
0.101
TC (mmol/L) b
4.54 ± 1.09
4.37 ± 1.07
0.173
TG (mmol/L) b
1.50 ± 0.88
1.50 ± 0.91
0.959
HDL-C (mmol/L) b
1.17 ± 0.36
1.09 ± 0.34
0.029*
LDL-C (mmol/L) b
2.67 ± 0.90
2.62 ± 0.81
0.648
eGFR [mL/(min·1.73 m2)] b
70.25 ± 15.39
64.66 ± 19.80
0.008*
AST (U/L) b
21.71 ± 9.48
21.58 ± 8.60
0.894
ALT (U/L) b
20.73 ± 18.98
19.93 ± 12.86
0.677
GTT (U/L) c
22.00 (15.00, 32.25)
23.00 (15.00, 36.00)
0.436
UA (mmol/L)b
336.29 ± 88.82
362.13 ± 107.38
0.023*
Medical history
   
 CHD (yes, %) a
95 (23.34)
32 (28.83)
0.234
 HT (yes, %) a
266 (65.36)
83 (74.77)
0.061
Medication
   
 Calcium channel blocker (yes, %) a
150 (36.86)
44 (39.64)
0.591
 Angiotensin Receptor Blocker (yes, %) a
171 (42.01)
54 (48.65)
0.211
 Sulfonylureas (yes, %) a
127 (31.20)
25 (22.52)
0.075
 Insulin (yes, %) a
115 (28.26)
52 (46.85)
 < 0.001*
 Metformin (yes, %) a
97 (23.83)
24 (21.62)
0.625
 Statins (yes, %) a
188 (46.19)
40 (36.04)
0.056
 Beta blockers (yes, %) a
94 (23.10)
28 (25.23)
0.639
 Aspirin (yes, %) a
229 (56.27)
65 (58.56)
0.666
Abbreviations: BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, Hb hemoglobin, FBG fasting blood glucose, PBG postprandial blood glucose, HbA1c glycated hemoglobin, TC total cholesterol, TG triglycerides, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, eGFR estimated glomerular filtration rate, AST aspartate transaminase, ALT alanine transaminase, GTT glutamyltranspeptidase, UA uric acid, CHD coronary heart disease, HT hypertension
* p-value < 0.05
aData are expressed as Number (percentage), p-values refer to Chi square test
bData are expressed as Mean (SD), p-values refer to t test
cNon-parameter Mann–Whitney U-Test., p-value was shown in the table

Association of statin use and all-cause mortality and specific mortality

There was no statistical association between statin use and all-cause mortality (HR 0.75; 95% CI 0.47, 1.19) and CCVD (HR 0.49; 95% CI 0.18, 1.32) after adjustment for all potential confounders including baseline age, sex, BMI, Hb, HbA1c, medical history and medications. Statin use was associated with reduced ischemic cardiovascular disease mortality (HR 0.31; 95% CI 0.10, 0.97). However, after PSM, Cox regression analyses showed that statin use was not associated with all-caused mortality, ischemic cardiovascular disease mortality and CCVD mortality (Table 3).
Table 3
Association analysis of statins and all-cause mortality and specific causes of death
Outcomes
Before PSM
After PSM
N
HR a (95% CI)
HR b (95% CI)
HR c (95% CI)
N
HR (95% CI)
Overall
111
1.10 (0.74, 1.63)
1.01 (0.68, 1.51)
0.75 (0.47, 1.19)
61
0.96 (0.56, 1.64)
Ischemic Cardiovascular Disease (IS + CHD)
23
0.61 (0.24,1.56)
0.56 (0.21, 1.45)
0.31 (0.10, 0.97)*
12
0.70 (0.21, 2.39)
CCVD (IS + CHD + HS)
27
0.86 (0.38, 1.94)
0.79 (0.34, 1.79)
0.49 (0.18, 1.32)
14
1.03 (0.35, 3.06)
Cancer
21
1.17 (0.48, 2.88)
1.20 (0.48, 2.97)
1.25 (0.44, 3.55)
12
1.10 (0.33, 3.65)
Respiratory System Disease
15
0.81 (0.25, 2.65)
0.72 (0.21, 2.39)
0.52 (0.14, 1.98)
8
1.05 (0.24, 4.59)
Renal Failure
6
2.14 (0.42, 10.90)
2.41 (0.47, 12.26)
2.86 (0.03, 319.30)
2
1.60 (0.09, 27.53)
Abbreviations: PSM propensity score match, IS ischemic stroke, CHD coronary heart disease, CCVD cardiovascular and cerebrovascular disease, HS hemorrhagic stroke, BMI body mass index, SBP systolic blood pressure, Hb hemoglobin, HbA1c glycated hemoglobin, HT hypertension
* p-value < 0.05
aHR value for crude
bAdjusted for age and sex
cAdjusted for age, sex, BMI, Hb, HbA1c, CHD, HT, angiotensin receptor blocker, sulfonylureas, insulin, metformin, beta blockers, aspirin
Subgroup analysis indicated that statins had no association with the all-caused mortality or mortality caused by ischemic cardiovascular disease in T2DM patients without CHD, HRs (95% CIs) were 0.59 (0.33, 1.03) and 0.31 (0.09, 1.06), respectively.In T2DM patients with CHD, statins had no association with all-caused mortality [1.79 (0.62, 5.20)], neither (Table 4). Similar results were also shown by cox regression analyses in matched pairs.
Table 4
Stratification association analysis of statins and death by CHD disease history
Subgroup
Outcomes
Before PSM
After PSM
N
HR a (95% CI)
HR b (95% CI)
HR c (95% CI)
N
HR (95% CI)
Without CHD
Overall
79
0.93 (0.57, 1.53)
0.86 (0.52, 1.42)
0.59 (0.33, 1.03)
43
0.66 (0.34, 1.29)
 
Ischemic Cardiovascular Disease (IS)
17
0.58 (0.19, 1.79)
0.52 (0.17, 1.63)
0.31 (0.09, 1.06)
10
0.55 (0.14, 2.19)
 
CCVD (IS + HS)
19
0.68 (0.24, 1.91)
0.60 (0.21, 1.70)
0.41 (0.13, 1.26)
11
0.73 (0.21, 2.54)
CHD
Overall
32
1.48 (0.73, 3.03)
1.53 (0.72, 3.25)
1.79 (0.62, 5.20)
18
2.44 (0.89, 6.63)
 
Ischemic Cardiovascular Disease (IS + CHD)
6
0.75 (0.13, 4.28)
0.80 (0.14, 4.69)
-
2
2.64 (0.13, 53.45)
 
CCVD (IS + CHD + HS)
8
1.34 (0.32, 5.60)
1.53 (0.36, 6.55)
1.73 (0.07, 41.04)
3
4.60 (0.36, 59.70)
Abbreviations: PSM propensity score match, IS ischemic stroke, CHD coronary heart disease, CCVD cardiovascular and cerebrovascular disease, HS hemorrhagic stroke, BMI body mass index, SBP systolic blood pressure, Hb hemoglobin, HbA1c glycated hemoglobin, HT hypertension
aHR value for crude
bAdjusted for age and sex
cAdjusted for age, sex, BMI, Hb, HbA1c, HT, angiotensin receptor blocker, sulfonylureas, insulin, metformin, beta blockers, aspirin

Discussions

Our findings explored issues that have remained controversial and insufficiently studied to date. In our cohort study of 518 T2DM patients over 75 years old, the results indicated a nonsignificant association of reduced all-caused mortality and ischemic cardiovascular disease with the statin use. To our knowledge, this is the first time to raise the possibility of statins associated with a reduction in mortality in elderly individuals in the Chinese population.
The potential benefits of statins for primary prevention of mortality in the elderly remain controversial. A subanalysis of the JUPITER study found no benefits of statins in reducing mortality for individuals aged > 70 years [23]. Similarly, in the PROSPER study that focused on primary prevention in elderly individuals, pravastatin was found to have no benefits for all-cause mortality [24]. Meta-analyses also suggested that statins do not have a protective effect against all-cause mortality for individuals aged over 65 years old in the setting of primary prevention [25, 26]. However, a nonsignificant direction toward increased all-cause mortality with pravastatin was observed among adults 75 years and older in the ALLHAT-LLT study [27].
In contrast, statins are associated with reduced mortality in aged 75 and older population in some other studies. In the US veterans study with patients 75 years and older and free of ASCVD at baseline, prescription of statins for the first time was significantly associated with a lower risk of all-cause and cardiovascular mortality [28]. The SCOPE-75 study suggested a remarkable reduction in the relative risk of all-cause death among statin users aged over 75 years for primary prevention [29]. The Reykjavik Study, which enrolled subjects with a mean age of 77 years, reported a greater benefit of statins in the subgroup of diabetic subjects [30]. Moreover, in a large-scale retrospective cohort study with 46, 864 people aged 75 years or more without cardiovascular diseases, Rafel Ramos and colleagues also revealed that statin use was significantly associated with reduced all-cause mortality in diabetic patients for primary prevention [13]. In fact, Rafel et al. found that the protective effect of statins against all-cause mortality in participants with diabetes became weaker as age increased and began to lose statistical significance at age 82 years [13].
Our findings appear to be consistent with these studies in elderly T2DM patients. In our population, statin use showed a reduction association with ischemic cardiovascular disease mortality, although it does not reach statistical significance after PSM. Age should be considered as an important factor affecting the protective effects of statins. It is worth noting that the average age in our study is about 80 years. Meanwhile, relatively small sample size may also responsible for the lack of effect observed.
The majority of published data suggest that statin usage does not affect the incidence of most cancers [31]. Our present study, in accordance with previous studies, demonstrates that the associations between statin use and cancer-related outcomes were not statistically significant. Similarly, non-vascular death, deaths caused by respiratory system disease and renal failure were not affected by statin use in the present study or in most previous studies.
There are several limitations in this study. It was carried out in a cohort that only comprised Chinese T2DM patients managed at a single outpatient clinic in Nanjing with a relative small sample size. There may be potential bias between different groups due to the observational study design, although we conducted PSM. More studies, especially prospective studies with large sample size and RCTs, are needed to confirm our finding. In addition, the proportion of patients who used low- or high-intensity statins was too small to investigate the possibility of different clinical outcomes between these groups. Despite these limitations, these real-world data recorded most of potential confounding factors, which might strengthen the findings of the present study. Moreover, the relatively long follow-up period (about 6.09 years) may provide a more accurate view of the effects of statin use on long-term mortality.
In conclusion, our findings suggest that statin use showed a possible reduction in all-cause mortality and ischemic cardiovascular disease mortality, although it does not reach statistical significance. More evidence is needed to support the use of statins in the elderly T2DM patients.

Acknowledgements

Not applicable.

Declarations

The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki and has been approved by the Ethical Committee, Jiangsu Province Institute of Geriatrics, Nanjing ((2020) Institution Ethical Review Document No. 020). Written informed consent was obtained from all patients at the time of first assessment to allow use of their data for research purposes.
Not applicable.

Competing interests

The authors declare no competing financial interests.
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Literatur
1.
Zurück zum Zitat Marrugat J, Sala J, Manresa JM, Gil M, Elosua R, Perez G, et al. Acute myocardial infarction population incidence and in-hospital management factors associated to 28-day case-fatality in the 65 year and older. Eur J Epidemiol. 2004;19(3):231–7.CrossRefPubMed Marrugat J, Sala J, Manresa JM, Gil M, Elosua R, Perez G, et al. Acute myocardial infarction population incidence and in-hospital management factors associated to 28-day case-fatality in the 65 year and older. Eur J Epidemiol. 2004;19(3):231–7.CrossRefPubMed
2.
Zurück zum Zitat Collaborators GBDCoD. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1151–210.CrossRef Collaborators GBDCoD. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1151–210.CrossRef
3.
Zurück zum Zitat Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, Pollicino C, et al. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet. 2005;366(9493):1267–78.CrossRefPubMed Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, Pollicino C, et al. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet. 2005;366(9493):1267–78.CrossRefPubMed
4.
Zurück zum Zitat Cholesterol Treatment Trialists C, Fulcher J, O’Connell R, Voysey M, Emberson J, Blackwell L, et al. Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet. 2015;385(9976):1397–405.CrossRef Cholesterol Treatment Trialists C, Fulcher J, O’Connell R, Voysey M, Emberson J, Blackwell L, et al. Efficacy and safety of LDL-lowering therapy among men and women: meta-analysis of individual data from 174,000 participants in 27 randomised trials. Lancet. 2015;385(9976):1397–405.CrossRef
6.
Zurück zum Zitat Endres M. Statins: potential new indications in inflammatory conditions. Atheroscler Suppl. 2006;7(1):31–5.CrossRefPubMed Endres M. Statins: potential new indications in inflammatory conditions. Atheroscler Suppl. 2006;7(1):31–5.CrossRefPubMed
7.
Zurück zum Zitat Yandrapalli S, Gupta S, Andries G, Cooper HA, Aronow WS. Drug therapy of dyslipidemia in the elderly. Drugs Aging. 2019;36(4):321–40.CrossRefPubMed Yandrapalli S, Gupta S, Andries G, Cooper HA, Aronow WS. Drug therapy of dyslipidemia in the elderly. Drugs Aging. 2019;36(4):321–40.CrossRefPubMed
8.
Zurück zum Zitat Mortensen MB, Falk E. Primary prevention with statins in the elderly. J Am Coll Cardiol. 2018;71(1):85–94.CrossRefPubMed Mortensen MB, Falk E. Primary prevention with statins in the elderly. J Am Coll Cardiol. 2018;71(1):85–94.CrossRefPubMed
9.
Zurück zum Zitat Ruscica M, Macchi C, Pavanello C, Corsini A, Sahebkar A, Sirtori CR. Appropriateness of statin prescription in the elderly. Eur J Intern Med. 2018;50:33–40.CrossRefPubMed Ruscica M, Macchi C, Pavanello C, Corsini A, Sahebkar A, Sirtori CR. Appropriateness of statin prescription in the elderly. Eur J Intern Med. 2018;50:33–40.CrossRefPubMed
10.
Zurück zum Zitat Singh S, Zieman S, Go AS, Fortmann SP, Wenger NK, Fleg JL, et al. Statins for primary prevention in older adults-moving toward evidence-based decision-making. J Am Geriatr Soc. 2018;66(11):2188–96.CrossRefPubMedPubMedCentral Singh S, Zieman S, Go AS, Fortmann SP, Wenger NK, Fleg JL, et al. Statins for primary prevention in older adults-moving toward evidence-based decision-making. J Am Geriatr Soc. 2018;66(11):2188–96.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Konrat C, Boutron I, Trinquart L, Auleley GR, Ricordeau P, Ravaud P. Underrepresentation of elderly people in randomised controlled trials. The example of trials of 4 widely prescribed drugs. PloS one. 2012;7(3):e33559.CrossRefPubMedPubMedCentral Konrat C, Boutron I, Trinquart L, Auleley GR, Ricordeau P, Ravaud P. Underrepresentation of elderly people in randomised controlled trials. The example of trials of 4 widely prescribed drugs. PloS one. 2012;7(3):e33559.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Force USPST, Bibbins-Domingo K, Grossman DC, Curry SJ, Davidson KW, Epling JW Jr, et al. Statin use for the primary prevention of cardiovascular disease in adults: us preventive services task force recommendation statement. Jama. 2016;316(19):1997–2007.CrossRef Force USPST, Bibbins-Domingo K, Grossman DC, Curry SJ, Davidson KW, Epling JW Jr, et al. Statin use for the primary prevention of cardiovascular disease in adults: us preventive services task force recommendation statement. Jama. 2016;316(19):1997–2007.CrossRef
13.
Zurück zum Zitat Ramos R, Comas-Cufi M, Marti-Lluch R, Ballo E, Ponjoan A, Alves-Cabratosa L, et al. Statins for primary prevention of cardiovascular events and mortality in old and very old adults with and without type 2 diabetes: retrospective cohort study. BMJ. 2018;362:k3359.CrossRefPubMedPubMedCentral Ramos R, Comas-Cufi M, Marti-Lluch R, Ballo E, Ponjoan A, Alves-Cabratosa L, et al. Statins for primary prevention of cardiovascular events and mortality in old and very old adults with and without type 2 diabetes: retrospective cohort study. BMJ. 2018;362:k3359.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Bezin J, Moore N, Mansiaux Y, Steg PG, Pariente A. Real-life benefits of statins for cardiovascular prevention in elderly subjects: a population-based cohort study. Am J Med. 2019;132(6):740–740-8 e7.CrossRefPubMed Bezin J, Moore N, Mansiaux Y, Steg PG, Pariente A. Real-life benefits of statins for cardiovascular prevention in elderly subjects: a population-based cohort study. Am J Med. 2019;132(6):740–740-8 e7.CrossRefPubMed
15.
Zurück zum Zitat Cholesterol Treatment Trialists C. Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials. Lancet. 2019;393(10170):407–15.CrossRef Cholesterol Treatment Trialists C. Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials. Lancet. 2019;393(10170):407–15.CrossRef
16.
Zurück zum Zitat Rana JS, Liu JY, Moffet HH, Jaffe M, Karter AJ. Diabetes and prior coronary heart disease are not necessarily risk equivalent for future coronary heart disease events. J Gen Intern Med. 2016;31(4):387–93.CrossRefPubMed Rana JS, Liu JY, Moffet HH, Jaffe M, Karter AJ. Diabetes and prior coronary heart disease are not necessarily risk equivalent for future coronary heart disease events. J Gen Intern Med. 2016;31(4):387–93.CrossRefPubMed
17.
Zurück zum Zitat Ouyang XMY, Bian R, et al. Improving glycemic control in T2DM patients: Implementation of staged diabetes targeting management. Chin J Diabetes. 2013;21:55–9. Ouyang XMY, Bian R, et al. Improving glycemic control in T2DM patients: Implementation of staged diabetes targeting management. Chin J Diabetes. 2013;21:55–9.
18.
Zurück zum Zitat Bi Y, Liu L, Lu Y, Sun T, Shen C, Chen X, et al. T7 peptide-functionalized PEG-PLGA micelles loading with carmustine for targeting therapy of glioma. ACS Appl Mater Interfaces. 2016;8:27465–73.CrossRefPubMed Bi Y, Liu L, Lu Y, Sun T, Shen C, Chen X, et al. T7 peptide-functionalized PEG-PLGA micelles loading with carmustine for targeting therapy of glioma. ACS Appl Mater Interfaces. 2016;8:27465–73.CrossRefPubMed
19.
Zurück zum Zitat Mazze RS, Etzwiler DD, Strock E, Peterson K, McClave CR 2nd, Meszaros JF, et al. Staged diabetes management. Toward an integrated model of diabetes care. Diabetes Care. 1994;17(Suppl 1):56–66.PubMed Mazze RS, Etzwiler DD, Strock E, Peterson K, McClave CR 2nd, Meszaros JF, et al. Staged diabetes management. Toward an integrated model of diabetes care. Diabetes Care. 1994;17(Suppl 1):56–66.PubMed
20.
Zurück zum Zitat Li M, Gu L, Yang J, Lou Q. Serum uric acid to creatinine ratio correlates with beta-cell function in type 2 diabetes. Diabetes Metab Res Rev. 2018;34(5):e3001.CrossRefPubMed Li M, Gu L, Yang J, Lou Q. Serum uric acid to creatinine ratio correlates with beta-cell function in type 2 diabetes. Diabetes Metab Res Rev. 2018;34(5):e3001.CrossRefPubMed
21.
Zurück zum Zitat Gu L, Huang L, Wu H, Lou Q, Bian R. Serum uric acid to creatinine ratio: a predictor of incident chronic kidney disease in type 2 diabetes mellitus patients with preserved kidney function. Diab Vasc Dis Res. 2017;14(3):221–5.CrossRefPubMed Gu L, Huang L, Wu H, Lou Q, Bian R. Serum uric acid to creatinine ratio: a predictor of incident chronic kidney disease in type 2 diabetes mellitus patients with preserved kidney function. Diab Vasc Dis Res. 2017;14(3):221–5.CrossRefPubMed
22.
Zurück zum Zitat Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12.CrossRefPubMedPubMedCentral Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Glynn RJ, Koenig W, Nordestgaard BG, Shepherd J, Ridker PM. Rosuvastatin for primary prevention in older persons with elevated C-reactive protein and low to average low-density lipoprotein cholesterol levels: exploratory analysis of a randomized trial. Ann Intern Med. 2010;152(8):488–96, W174.CrossRefPubMedPubMedCentral Glynn RJ, Koenig W, Nordestgaard BG, Shepherd J, Ridker PM. Rosuvastatin for primary prevention in older persons with elevated C-reactive protein and low to average low-density lipoprotein cholesterol levels: exploratory analysis of a randomized trial. Ann Intern Med. 2010;152(8):488–96, W174.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Shepherd J, Blauw GJ, Murphy MB, Bollen EL, Buckley BM, Cobbe SM, et al. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet. 2002;360(9346):1623–30.CrossRefPubMed Shepherd J, Blauw GJ, Murphy MB, Bollen EL, Buckley BM, Cobbe SM, et al. Pravastatin in elderly individuals at risk of vascular disease (PROSPER): a randomised controlled trial. Lancet. 2002;360(9346):1623–30.CrossRefPubMed
25.
Zurück zum Zitat Savarese G, Gotto AM Jr, Paolillo S, D’Amore C, Losco T, Musella F, et al. Benefits of statins in elderly subjects without established cardiovascular disease: a meta-analysis. J Am Coll Cardiol. 2013;62(22):2090–9.CrossRefPubMed Savarese G, Gotto AM Jr, Paolillo S, D’Amore C, Losco T, Musella F, et al. Benefits of statins in elderly subjects without established cardiovascular disease: a meta-analysis. J Am Coll Cardiol. 2013;62(22):2090–9.CrossRefPubMed
26.
Zurück zum Zitat Teng M, Lin L, Zhao YJ, Khoo AL, Davis BR, Yong QW, et al. Statins for Primary Prevention of Cardiovascular Disease in Elderly Patients: Systematic Review and Meta-Analysis. Drugs Aging. 2015;32(8):649–61.CrossRefPubMed Teng M, Lin L, Zhao YJ, Khoo AL, Davis BR, Yong QW, et al. Statins for Primary Prevention of Cardiovascular Disease in Elderly Patients: Systematic Review and Meta-Analysis. Drugs Aging. 2015;32(8):649–61.CrossRefPubMed
27.
Zurück zum Zitat Han BH, Sutin D, Williamson JD, Davis BR, Piller LB, Pervin H, et al. Effect of statin treatment vs usual care on primary cardiovascular prevention among older adults: the ALLHAT-LLT randomized clinical trial. JAMA Intern Med. 2017;177(7):955–65.CrossRefPubMedPubMedCentral Han BH, Sutin D, Williamson JD, Davis BR, Piller LB, Pervin H, et al. Effect of statin treatment vs usual care on primary cardiovascular prevention among older adults: the ALLHAT-LLT randomized clinical trial. JAMA Intern Med. 2017;177(7):955–65.CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Orkaby AR, Driver JA, Ho YL, Lu B, Costa L, Honerlaw J, et al. Association of statin use with all-cause and cardiovascular mortality in US veterans 75 years and older. JAMA. 2020;324(1):68–78.CrossRefPubMedPubMedCentral Orkaby AR, Driver JA, Ho YL, Lu B, Costa L, Honerlaw J, et al. Association of statin use with all-cause and cardiovascular mortality in US veterans 75 years and older. JAMA. 2020;324(1):68–78.CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Kim K, Lee CJ, Shim CY, Kim JS, Kim BK, Park S, et al. Statin and clinical outcomes of primary prevention in individuals aged >75years: The SCOPE-75 study. Atherosclerosis. 2019;284:31–6.CrossRefPubMed Kim K, Lee CJ, Shim CY, Kim JS, Kim BK, Park S, et al. Statin and clinical outcomes of primary prevention in individuals aged >75years: The SCOPE-75 study. Atherosclerosis. 2019;284:31–6.CrossRefPubMed
30.
Zurück zum Zitat Olafsdottir E, Aspelund T, Sigurdsson G, Thorsson B, Eiriksdottir G, Harris TB, et al. Effects of statin medication on mortality risk associated with type 2 diabetes in older persons: the population-based AGES-Reykjavik Study. BMJ Open. 2011;1(1):e000132.CrossRefPubMedPubMedCentral Olafsdottir E, Aspelund T, Sigurdsson G, Thorsson B, Eiriksdottir G, Harris TB, et al. Effects of statin medication on mortality risk associated with type 2 diabetes in older persons: the population-based AGES-Reykjavik Study. BMJ Open. 2011;1(1):e000132.CrossRefPubMedPubMedCentral
31.
Metadaten
Titel
Effect of statin treatment on mortality in elderly patients with type 2 diabetes mellitus patients: a retrospective cohort study
verfasst von
Yao Fan
Juan Wang
Haidi Wu
Lingli Dai
Lan Wang
Liubao Gu
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Geriatrics / Ausgabe 1/2023
Elektronische ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-023-04252-y

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