Observational study of vascular dementia in the Spanish elderly population according to type 2 diabetes status: trends in incidence, characteristics and outcomes (2004-2013).

OBJECTIVES: To examine trends overtime in the incidence and in-hospital outcomes of vascular dementia (VaD) hospitalisations in patients aged 70 years or over suffering and not suffering from type 2 diabetes mellitus (T2DM) between 2004 and 2013 in Spain.
DESIGN: Retrospective study.
SETTING: Spain. PARTICIPANTS: National hospital discharge data were used; patients aged ≥70, discharged from a hospital with VaD as a primary diagnosis, were selected. MAIN OUTCOME MEASURES: Overall incidence, therapeutic and diagnostic procedures, comorbidities, infectious complications, duration of hospital stays and in-hospital mortality (IHM).
RESULTS: In total, 170 607 admissions for VaD (34.3% with T2DM) were identified. We found a significant upward linear trend in the incidence of VaD for men and women with and without diabetes between 2004 and 2013. The adjusted incidence was higher among people with T2DM over the study period. We found a higher incidence in men than women in all years under study. A positive association between T2DM and VaD hospitalisation was found among both men (IRR 2.14, 95% CI 2.11 to 2.16) and women (incidence rate ratio (IRR) 2.22; 95% CI 2.19 to 2.25). Pneumonia was significantly associated with a higher mortality (OR 2.59, 95% CI 2.52 to 2.67). We found that percutaneous endoscopic gastrostomy was associated with lower IHM (OR 0.37, 95% CI 0.31 to 0.45), while parenteral nutrition had the opposite effect (OR 1.29, 95% CI 1.18 to 1.41). There was no association between diabetes and higher IHM (OR 0.99, 95% CI 0.93 to 1.06). The time-trend analyses of the entire sample showed a significant reduction in mortality in patients with VaD (OR 0.98, 95% CI 0.97 to 0.99).
CONCLUSIONS: Incidence rates for VaD hospitalisations were twice as high in patients with diabetes compared with those without. Men had significantly higher incidence rates than women, regardless of diabetes status. In both groups studied, pneumonia and parenteral nutrition were associated with mortality while percutaneous endoscopic gastrostomy was associated with survival. Having diabetes was not associated with higher IHM after hospitalisation with VaD. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

The study strengths include the 10-year follow-up, a very large sample size and standardised methodological approach.

A limitation is the lack of information on VaD or type 2 diabetes mellitus duration, treatments for this last condition or sociodemographic characteristic.

Another limitation is the lack of specificity of clinically defined vascular dementia.

Introduction

Dementia has become a serious public health burden on a global level, accompanied by significant financial and social implications.1 2 Vascular dementia (VaD) and Alzheimer's disease (AD) are the most common forms of dementia, which together account for more than 90% of all cases.1

According to several epidemiological studies, patients with diabetes are at an increased risk for stroke, lacunar infarcts, AD and VaD3–5 through amyloid-β/tau-dependent and independent mechanisms.3

On a global scale, over 300 million people are affected by type 2 diabetes mellitus (T2DM).6 This has been associated with an increased risk of macrovascular and microvascular complications, and it also constitutes an independent risk factor for vascular dementia7 8 and AD.9 Furthermore, recent reports suggest that patients with diabetes have a 60% higher risk for developing dementia.10 Age, smoking, hypertension and diabetes, all represent factors linked to dementia, therefore it is only to be expected that hospitalisation for VaD will increase in the coming years.11 12 Hence, we identified the need to study the evolution of VaD over time and to determine the factors and procedures which could result in a higher in-hospital mortality (IHM).

National hospital discharge data were used in this study to analyse linear trends in the incidence of VaD among hospitalised men and women with and without T2DM between 2004 and 2013 in Spain. Specifically, we analysed linear trends in the utilisation of therapeutic and diagnostic procedures, comorbidities, common infectious and medical complications and in-hospital outcomes such as length of hospital stay (LOHS), readmission rates and IHM.

Methods

This was a retrospective, observational study, conducted based on the records of the Spanish National Hospital Database (CMBD, Conjunto Minimo Básico de Datos).13 We included all patients aged ≥70 years hospitalised for VaD (International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes: 290.40, 290.41, 290.42, 290.43) in the first diagnosis position between 1 January 2004 and 31 December 2013.

We compared those suffering T2DM (codes: 250.x0; 250.x2) in any diagnosis position (2 to 14) and those without diabetes.

We estimated the adjusted incidence of discharge rates after VaD for women and men according to the presence of T2DM per 100 000 inhabitants, as described in detail in the online supplementary methods.

Clinical variables included comorbidity suffered at the time of discharge, which was evaluated using the Charlson Comorbidity Index (CCI)14 as described in detail in the online supplementary methods.

We specifically analysed the presence of previous stroke (ICD-9-CM codes 430.x, 431.x, 433.x1, 434.x1, 435.x, 436, and 362.3), hypertension (codes: 401, 401.0, 401.1, 401.9) and atrial fibrillation (code: 427.31) in any diagnosis position during vascular dementia hospitalisation. We also identified common infectious complications such as pneumonia (codes: 480–488, 507.0–507.8) and urinary tract infection (codes: 590.0, 590.9, 595.0, 595.9, 597.80, 599.0). We analysed other medical complications, specifically agitation (code: 307.9) and malnutrition (code: 263.9).

We also analysed therapeutic and diagnostic procedures including: MRI (code: 88.91), CT angiography (CAT) (code: 87.03), percutaneous endoscopic gastrostomy (PEG) (code: 43.11), mechanical ventilation (codes: 96.7; 96.70; 96.71; 96.72), parenteral nutrition (codes: 99.15) and bladder catheterisation (code: 57.94).

The variable readmission includes those patients who had been discharged from the same hospital in the previous 30 days of admission for VaD (30 day readmission). Furthermore, the mean number of days of hospitalisation (LOHS) and the number of patients who died in the hospital divided by all the discharges (IHM) were calculated for each year.

The statistical analysis is described in the online supplementary methods.

Ethics

In accordance with Spanish legislation, confidentiality of data was ensured during all stages of the study. Patient anonymity was protected by removal of potentially identifying information before the database was accessed by the authors. Thus, it is impossible to identify individual patients, either in this paper or in the database. Informed consent was deemed unnecessary by the Spanish legislation, because of the anonymous and mandatory characteristics of data. The ethics committee of the Universidad Rey Juan Carlos approved the study protocol.

Results

In total, 170 607 discharges were identified (78 499 men and 92 108 women) of patients suffering VaD as the primary diagnosis. T2DM was reported in 34.3% of the total. The prevalence of T2DM in men with VaD showed a significant increase from 28.94% in 2004 to 34.58% in 2013 (p<0.01). The prevalence of T2DM in women with VaD increased from 34.13% to 35.37% (p<0.01).

The overall adjusted incidence of admissions for VaD was higher among the oldest subgroup (≥85 years), both in men and women, with or without diabetes. In patients with T2DM older than 85 years, we found that incidence rates were 1369.63 per 100 000 inhabitants in women and 1308.71 per 100 000 inhabitants in men. In the non-diabetic group, incidence rates for men and women were 776.52 and 824.15 per 100 000 inhabitants, respectively (see online supplementary table).

A significant increase in the adjusted incidence rate of admissions for VaD was found in men with T2DM aged ≥85 years old (1191.79 cases per 100 000 inhabitants in 2004 to 1393.17 cases in 2013) but not in women (see online supplementary table).

As can be seen in table 1, the mean age was 80.72 years (SD, 5.65 years) in men with diabetes and 82.4 years (SD, 5.93 years) in men without diabetes. According to the CCI, 40.86% of men with T2DM had three or more coexisting conditions; in men without this disease it was 39.3%. The proportion of men with T2DM with ≥2 coexisting conditions was a little higher than that of men without diabetes (81% vs79.71%).

Table 1

Characteristic, Charlson Comorbidity Index and clinical conditions among men with and without type 2 diabetes hospitalised with vascular dementia

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	Total	p Value
No diabetes
N	4185	4511	4697	4889	5152	5346	5705	5892	5877	6083	52 337	<0.001
Incidence per 100 000 inhabitants	255.04	256.93	251.11	261.37	280.32	296.14	316.02	325.64	324.81	335.44	290.47
Age, mean (SD)	81.28 (6.01)	81.32 (5.82)	81.64 (5.92)	82 (6.06)	81.9 (5.95)	82.61 (5.95)	82.78 (5.83)	83.01 (5.71)	83.15 (5.88)	83.41 (5.76)	82.4 (5.93)	<0.001
70–74 years old, n (%)	626 (14.96)	610 (13.52)	572 (12.18)	597 (12.21)	630 (12.23)	509 (9.52)	513 (8.99)	426 (7.23)	491 (8.35)	461 (7.58)	5435 (10.38)	0.000
75–79 years old, n (%)	1053 (25.16)	1154 (25.58)	1173 (24.97)	1132 (23.15)	1215 (23.58)	1167 (21.83)	1162 (20.37)	1223 (20.76)	1071 (18.22)	1075 (17.67)	11 425 (21.83)
80–84 years old, n (%)	1247 (29.8)	1413 (31.32)	1493 (31.79)	1490 (30.48)	1541 (29.91)	1556 (29.11)	1760 (30.85)	1839 (31.21)	1808 (30.76)	1878 (30.87)	16 025 (30.62)
≥85 years old, n(%)	1259 (30.08)	1334 (29.57)	1459 (31.06)	1670 (34.16)	1766 (34.28)	2114 (39.54)	2270 (39.79)	2404 (40.8)	2507 (42.66)	2669 (43.88)	19 452 (37.17)
Charlson Comorbidity Index 1, n (%)	934 (22.32)	962 (21.33)	1019 (21.69)	1015 (20.76)	1119 (21.72)	1124 (21.03)	1119 (19.61)	1113 (18.89)	1091 (18.56)	1126 (18.51)	10 622 (20.3)	0.000
Charlson Comorbidity Index 2, n (%)	1748 (41.77)	1968 (43.63)	1927 (41.03)	2048 (41.89)	2072 (40.22)	2195 (41.06)	2281 (39.98)	2330 (39.55)	2219 (37.76)	2359 (38.78)	21 147 (40.41)
Charlson Comorbidity Index ≥3, n (%)	1503 (35.91)	1581 (35.05)	1751 (37.28)	1826 (37.35)	1961 (38.06)	2027 (37.92)	2305 (40.4)	2449 (41.56)	2567 (43.68)	2598 (42.71)	20 568 (39.3)
Previous stroke	1963 (46.91)	2114 (46.86)	2320 (49.39)	2305 (47.15)	2528 (49.07)	2649 (49.55)	2949 (51.69)	2976 (50.51)	3059 (52.05)	3148 (51.75)	26 011 (49.70)	<0.001
Atrial fibrillation, n (%)	830 (19.83)	907 (20.11)	1030 (21.93)	1095 (22.4)	1155 (22.42)	1270 (23.76)	1397 (24.49)	1452 (24.64)	1488 (25.32)	1493 (24.54)	12 117 (23.15)	<0.001
Hypertension, n (%)	1398 (33.41)	1537 (34.07)	1707 (36.34)	1745 (35.69)	1883 (36.55)	2004 (37.49)	2196 (38.49)	2288 (38.83)	2349 (39.97)	2420 (39.78)	19 527 (37.31)	<0.001
Malnutrition, n (%)	104 (2.49)	177 (3.92)	185 (3.94)	231 (4.72)	243 (4.72)	274 (5.13)	251 (4.4)	308 (5.23)	280 (4.76)	339 (5.57)	2392 (4.57)	<0.001
Pneumonia, n (%)	1028 (24.56)	1180 (26.16)	1136 (24.19)	1260 (25.77)	1303 (25.29)	1448 (27.09)	1526 (26.75)	1594 (27.05)	1603 (27.28)	1638 (26.93)	13 716 (26.21)	<0.001
Urinary tract infection, n (%)	682 (16.3)	743 (16.47)	790 (16.82)	808 (16.53)	881 (17.1)	963 (18.01)	992 (17.39)	1079 (18.31)	1108 (18.85)	1150 (18.91)	9196 (17.57)	0.001
Agitation, n (%)	16 (0.38)	16 (0.35)	16 (0.34)	24 (0.49)	22 (0.43)	31 (0.58)	36 (0.63)	34 (0.58)	32 (0.54)	39 (0.64)	266 (0.51)	0.225
Diabetes
N	1703	2000	2297	2376	2578	2735	2887	3057	3313	3216	26 162	<0.001
Incidence	450.73	501.91	548.05	566.9	578.82	579.89	612.11	591.26	640.77	571.82	568.77
Age, mean (SD)	79.6 (5.59)	79.74 (5.58)	79.84 (5.57)	80.2 (5.6)	80.43 (5.6)	80.51 (5.65)	81.01 (5.46)	81.37 (5.62)	81.49 (5.65)	81.71 (5.66)	80.72 (5.65)	<0.001
70–74 years old, n (%)	342 (20.08)	393 (19.65)	438 (19.07)	400 (16.84)	413 (16.02)	426 (15.58)	376 (13.02)	388 (12.69)	392 (11.83)	352 (10.95)	3920 (14.98)	0.000
75–79 years old, n (%)	540 (31.71)	621 (31.05)	683 (29.73)	752 (31.65)	767 (29.75)	791 (28.92)	759 (26.29)	789 (25.81)	855 (25.81)	811 (25.22)	7368 (28.16)
80–84 years old, n (%)	487 (28.6)	599 (29.95)	728 (31.69)	669 (28.16)	786 (30.49)	855 (31.26)	959 (33.22)	939 (30.72)	1048 (31.63)	1019 (31.69)	8089 (30.92)
≥85 years old, n (%)	334 (19.61)	387 (19.35)	448 (19.5)	555 (23.36)	612 (23.74)	663 (24.24)	793 (27.47)	941 (30.78)	1018 (30.73)	1034 (32.15)	6785 (25.93)
Charlson Comorbidity Index 1, n (%)	348 (20.43)	398 (19.9)	490 (21.33)	508 (21.38)	509 (19.74)	494 (18.06)	513 (17.77)	558 (18.25)	594 (17.93)	559 (17.38)	4971(19)	0.000
Charlson Comorbidity Index 2, n (%)	710 (41.69)	784 (39.2)	925 (40.27)	942 (39.65)	1079 (41.85)	1095 (40.04)	1191 (41.25)	1200 (39.25)	1341 (40.48)	1234 (38.37)	10 501 (40.14)
Charlson Comorbidity Index ≥3, n (%)	645 (37.87)	818 (40.9)	882 (38.4)	926 (38.97)	990 (38.4)	1146 (41.9)	1183 (40.98)	1299 (42.49)	1378 (41.59)	1423 (44.25)	10 690 (40.86)
Previous stroke	791 (46.45)	992 (49.6)	1071 (46.63)	1099 (46.25)	1267 (49.15)	1437 (52.54)	1476 (51.13)	1517 (49.62)	1660 (50.11)	1695 (52.71)	13 005 (49.71)	<0.001
Atrial fibrillation, n (%)	319 (18.73)	409 (20.45)	443 (19.29)	454 (19.11)	521 (20.21)	574 (20.99)	591 (20.47)	639 (20.9)	700 (21.13)	678 (21.08)	5328 (20.37)	0.331
Hypertension, n (%)	780 (45.8)	945 (47.25)	1087 (47.32)	1201 (50.55)	1303 (50.54)	1410 (51.55)	1456 (50.43)	1517 (49.62)	1653 (49.89)	1647 (51.21)	12 999 (49.69)	0.001
Malnutrition, n (%)	41 (2.41)	58 (2.9)	85 (3.7)	73 (3.07)	81 (3.14)	110 (4.02)	127 (4.4)	121 (3.96)	127 (3.83)	117 (3.64)	940 (3.59)	0.010
Pneumonia, n (%)	390 (22.9)	431 (21.55)	490 (21.33)	536 (22.56)	599 (23.24)	651 (23.8)	706 (24.45)	768 (25.12)	804 (24.27)	763 (23.73)	6138 (23.46)	0.024
Urinary tract infection, n (%)	299 (17.56)	335 (16.75)	351 (15.28)	392 (16.5)	449 (17.42)	500 (18.28)	520 (18.01)	578 (18.91)	580 (17.51)	573 (17.82)	4577 (17.49)	0.059
Agitation, n (%)	6 (0.35)	6 (0.3)	6 (0.26)	4 (0.17)	10 (0.39)	14 (0.51)	13 (0.45)	13 (0.43)	20 (0.6)	19 (0.59)	111 (0.42)	0.254

Analysis of the Spanish National Hospital Discharge Database from 2004 to 2013.

Charlson Comorbidity Index, excluding dementia and diabetes.

p Value for comparison by year.

Poisson regression model to assess trends in incidence rates, analysis of variance and Pearson's χ2 for means and proportions, respectively.

N, number of discharges.

The prevalence of previous stroke among men with and without diabetes was similar and near to 50% in all years analysed and rose significantly over time (p<0.001) from around 46% to 52% in both groups of patients. A significantly greater prevalence of hypertension was found in men with diabetes compared with men without diabetes (49.69% and 37.31%, respectively); however, atrial fibrillation, malnutrition, pneumonia and agitation were more frequent in men without diabetes (table 1).

From 2004 to 2014, the estimated adjusted incidence of discharges due to VaD raised significantly from 450.73 cases to 571.82 among men with diabetes and from 255.04 cases to 335.44 cases among men without diabetes. The rates were higher among men with diabetes than men without in all the years analysed (table 1).

Table 1 shows a significant increase in age, CCI and hypertension prevalence, observed over the study period, in both groups.

We found that the proportion of patients with malnutrition has significantly increased over time, ranging from 2.49% in 2004 to 5.57% in 2013 in men without T2DM, and from 2.41% to 3.64% in those with diabetes over the study period (p<0.05). In both men with and without diabetes, we found that pneumonia increased significantly over time. In men without diabetes, urinary tract infections increased from 16.3% to 18.91% (p<00.5); however, in men with diabetes, this infectious complication remained stable. Agitation has not changed over time in any group (table 1).

Over the study period, 54% of all VaD hospitalisations were women. Women with T2DM were significantly younger than women without diabetes (83.17 years vs 85.01 years) and had higher CCI values (29.21% and 26.8% with ≥3 coexisting conditions) (table 2).

Table 2

Characteristic, Charlson Comorbidity Index and clinical conditions among women with and without type 2 diabetes hospitalised with vascular dementia

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	Total	p-value
No diabetes
N	4489	5089	5018	5313	6007	6066	6448	6881	7167	7124	59 602
Incidence per 100 000 inhabitants	192.92	210.3	199.7	211.44	234.61	232.59	247.23	260.71	271.55	266.76	233.75	<0.001
Age, mean (SD)	83.93 (6.01)	84.19 (5.99)	84.27 (6.07)	84.59 (5.94)	84.76 (5.95)	85.16 (5.88)	85.24 (5.87)	85.54 (5.75)	85.65 (5.69)	85.88 (5.79)	85.01 (5.91)	<0.001
70–74 years old, n (%)	340 (7.57)	310 (6.09)	328 (6.54)	293 (5.51)	289 (4.81)	266 (4.39)	260 (4.03)	220 (3.2)	246 (3.43)	214(3)	2766 (4.64)	<0.001
75–79 years old, n (%)	693 (15.44)	813 (15.98)	770 (15.34)	761 (14.32)	879 (14.63)	782 (12.89)	844 (13.09)	854 (12.41)	787 (10.98)	794 (11.15)	7977 (13.38)
80–84 years old, n (%)	1337 (29.78)	1486 (29.2)	1465 (29.19)	1544 (29.06)	1669 (27.78)	1609 (26.52)	1657 (25.7)	1718 (24.97)	1861 (25.97)	1758 (24.68)	16 104 (27.02)
≥85 years old, n (%)	2119 (47.2)	2480 (48.73)	2455 (48.92)	2715 (51.1)	3170 (52.77)	3409 (56.2)	3687 (57.18)	4089 (59.42)	4273 (59.62)	4358 (61.17)	32 755 (54.96)
Charlson Comorbidity Index 1, n (%)	1346 (29.98)	1640 (32.23)	1565 (31.19)	1615 (30.4)	1849 (30.78)	1746 (28.78)	1736 (26.92)	1808 (26.28)	1913 (26.69)	1772 (24.87)	16 990 (28.51)	<0.001
Charlson Comorbidity Index 2, n (%)	2065(46)	2264 (44.49)	2242 (44.68)	2382 (44.83)	2656 (44.22)	2734 (45.07)	2957 (45.86)	3093 (44.95)	3112 (43.42)	3131 (43.95)	26 636 (44.69)
Charlson Comorbidity Index ≥3, n (%)	1078 (24.01)	1185 (23.29)	1211 (24.13)	1316 (24.77)	1502(25)	1586 (26.15)	1755 (27.22)	1980 (28.77)	2142 (29.89)	2221 (31.18)	15 976 (26.8)
Previous stroke	2048 (45.62)	2333 (45.84)	2357 (46.97)	2406 (45.29)	2747 (45.73)	2906 (47.91)	3185 (49.4)	3427 (49.8)	3478 (48.53)	3552 (49.86)	28 439 (47.71)	<0.001
Atrial fibrillation, n (%)	1185 (26.4)	1311 (25.76)	1368 (27.26)	1447 (27.24)	1645 (27.38)	1634 (26.94)	1799 (27.9)	2015 (29.28)	2068 (28.85)	2021 (28.37)	16 493 (27.67)	<0.001
Hypertension, n (%)	1889 (42.08)	2160 (42.44)	2196 (43.76)	2461 (46.32)	2759 (45.93)	2945 (48.55)	2988 (46.34)	3197 (46.46)	3409 (47.57)	3441 (48.3)	27 445 (46.05)	<0.001
Malnutrition, n (%)	152 (3.39)	205 (4.03)	231 (4.6)	231 (4.35)	301 (5.01)	317 (5.23)	352 (5.46)	381 (5.54)	365 (5.09)	406 (5.7)	2941 (4.93)	<0.001
Pneumonia, n (%)	783 (17.44)	988 (19.41)	898 (17.9)	916 (17.24)	1162 (19.34)	1180 (19.45)	1252 (19.42)	1299 (18.88)	1442 (20.12)	1350 (18.95)	11 270 (18.91)	<0.001
Urinary tract infection, n (%)	871 (19.4)	999 (19.63)	1077 (21.46)	1070 (20.14)	1308 (21.77)	1394 (22.98)	1475 (22.88)	1634 (23.75)	1565 (21.84)	1681 (23.6)	13 074 (21.94)	<0.001
Agitation, n (%)	13 (0.29)	18 (0.35)	19 (0.38)	15 (0.28)	27 (0.45)	20 (0.33)	21 (0.33)	41 (0.6)	21 (0.29)	31 (0.44)	226 (0.38)	0.103
Diabetes
N	2326	2553	2852	2920	3192	3525	3546	3841	3852	3899	32 506
Incidence	410.63	457.16	518.13	530.48	533.07	544.7	547.95	524.92	526.42	477.63	508.01	<0.001
Age, mean (SD)	82.01 (5.83)	82.21 (6.07)	82.43 (6.06)	82.75(6)	83.12(6)	83.16 (5.85)	83.35 (5.75)	83.72 (5.87)	83.68 (5.78)	84.15 (5.77)	83.17 (5.92)	<0.001
70–74 years old, n (%)	270 (11.61)	287 (11.24)	297 (10.41)	292(10)	279 (8.74)	298 (8.45)	242 (6.82)	243 (6.33)	254 (6.59)	220 (5.64)	2682 (8.25)	<0.001
75–79 years old, n (%)	530 (22.79)	584 (22.88)	634 (22.23)	582 (19.93)	645 (20.21)	667 (18.92)	692 (19.51)	710 (18.48)	669 (17.37)	600 (15.39)	6313 (19.42)
80–84 years old, n (%)	742 (31.9)	775 (30.36)	862 (30.22)	879 (30.1)	911 (28.54)	1063 (30.16)	1093 (30.82)	1144 (29.78)	1165 (30.24)	1179 (30.24)	9813 (30.19)
≥85 years old, n (%)	784 (33.71)	907 (35.53)	1059 (37.13)	1167 (39.97)	1357 (42.51)	1497 (42.47)	1519 (42.84)	1744 (45.4)	1764 (45.79)	1900 (48.73)	13 698 (42.14)
Charlson Comorbidity Index 1, n (%)	638 (27.43)	694 (27.18)	776 (27.21)	809 (27.71)	854 (26.75)	971 (27.55)	934 (26.34)	949 (24.71)	998 (25.91)	931 (23.88)	8554 (26.32)	<0.001
Charlson Comorbidity Index 2, n (%)	1064 (45.74)	1180 (46.22)	1269 (44.5)	1307 (44.76)	1434 (44.92)	1610 (45.67)	1599 (45.09)	1701 (44.29)	1632 (42.37)	1660 (42.58)	14 456 (44.47)
Charlson Comorbidity Index ≥3, n (%)	624 (26.83)	679 (26.6)	807 (28.3)	804 (27.53)	904 (28.32)	944 (26.78)	1013 (28.57)	1191 (31.01)	1222 (31.72)	1308 (33.55)	9496 (29.21)
Previous stroke	1138 (48.93)	1265 (49.55)	1413 (49.54)	1347 (46.13)	1587 (49.72)	1740 (49.36)	1749 (49.32)	1921 (50.01)	1872 (48.6)	1934 (49.6)	15 966 (49.12)	0.142
Atrial fibrillation, n (%)	594 (25.54)	671 (26.28)	747 (26.19)	798 (27.33)	880 (27.57)	932 (26.44)	920 (25.94)	977 (25.44)	1059 (27.49)	1118 (28.67)	8696 (26.75)	0.045
Hypertension, n (%)	1237 (53.18)	1429 (55.97)	1643 (57.61)	1672 (57.26)	1871 (58.62)	2106 (59.74)	2077 (58.57)	2159 (56.21)	2180 (56.59)	2177 (55.83)	18 551 (57.07)	0.000
Malnutrition, n (%)	41 (1.76)	82 (3.21)	105 (3.68)	107 (3.66)	123 (3.85)	163 (4.62)	126 (3.55)	173 (4.5)	167 (4.34)	162 (4.15)	1249 (3.84)	0.000
Pneumonia, n (%)	342 (14.7)	385 (15.08)	420 (14.73)	457 (15.65)	529 (16.57)	634 (17.99)	584 (16.47)	607 (15.8)	631 (16.38)	650 (16.67)	5239 (16.12)	0.011
Urinary tract infection, n (%)	518 (22.27)	592 (23.19)	720 (25.25)	703 (24.08)	814 (25.5)	920 (26.1)	879 (24.79)	966 (25.15)	971 (25.21)	962 (24.67)	8045 (24.75)	0.044
Agitation, n (%)	4 (0.17)	8 (0.31)	4 (0.14)	7 (0.24)	12 (0.38)	6 (0.17)	9 (0.25)	16 (0.42)	9 (0.23)	16 (0.41)	91 (0.28)	0.266

Analysis of the Spanish National Hospital Discharge Database from 2004 to 2013.

Charlson Comorbidity Index, excluding dementia and diabetes.

p Value for comparison by year.

Poisson regression model to assess trends in incidence rates, analysis of variance and Pearson'sχ2 for means and proportions respectively.

N, number of discharges.

Among women, the overall prevalence of previous stroke was significantly higher for those with and without diabetes (49.12% vs 47.71%). Only among women without diabetes a significant increase was found from 2004 to 2013. Women with diabetes were more prone to hypertension compared with women without T2DM (57.07% vs 46.05%). However, the prevalence of atrial fibrillation was higher in women without diabetes than in women with diabetes (27.67% vs 26.75%) (table 2).

The incidence rate of hospitalisation among women with T2DM rose significantly over the study period from 410.63 cases per 100 000 women with diabetes to 477.63, as shown in table 2. Incidence rates increased from 192.92 cases to 266.76 cases (p<0.05) among women without diabetes. Rates were higher in women with diabetes in all years analysed.

Beside diabetes status age, comorbidity and the prevalence hypertension and atrial fibrillation increased significantly from 2004 to 2013. We found an increase in the prevalence of malnutrition, pneumonia and urinary tract infections during hospitalisation in both groups (table 2).

The comparison between men and women with diabetes reveals that men have a higher adjusted incidence rate than women, in all years covered by this study. Men with diabetes are significantly younger (80.72 vs 83.17 years) and have a CCI ≥3, (40.86% vs 29.21%) more frequently than women. Women with diabetes suffered more atrial fibrillation (26.75% vs 20.37%) and hypertension (57.07% vs 49.69%) than men without.

The IHM among men with or without T2DM did not show a significant variation of the study, ranging from 16.62% to 14.49% and from 17.08% to 16.29%, respectively (table 3).

Table 3

Hospitalisations outcomes, diagnosis and therapeutic procedures among men with and without type 2 diabetes hospitalised with vascular dementia

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	Total	p-value
No diabetes
In-hospital mortality, n (%)	715 (17.08)	770 (17.07)	787 (16.76)	817 (16.71)	834 (16.19)	847 (15.84)	902 (15.81)	974 (16.53)	1024 (17.42)	991 (16.29)	8661 (16.55)	0.334
LOHS, median (IQR)	9 (9)	8 (10)	8 (9)	8 (9)	8 (9)	8 (9)	8 (9)	8 (9)	7 (8)	7 (8)	8 (9)	<0.001
Readmission, n (%)	589 (14.07)	654 (14.5)	725 (15.44)	767 (15.69)	824 (15.99)	875 (16.37)	896 (15.71)	975 (16.55)	899 (15.3)	891 (14.65)	8095 (15.47)	0.007
CAT, n (%)	1097 (26.21)	1061 (23.52)	1089 (23.19)	1135 (23.22)	1189 (23.08)	1251 (23.4)	1283 (22.49)	1330 (22.57)	1250 (21.27)	1298 (21.34)	11 983 (22.9)	<0.001
MRI, n (%)	135 (3.23)	146 (3.24)	128 (2.73)	164 (3.35)	193 (3.75)	178 (3.33)	208 (3.65)	193 (3.28)	179 (3.05)	179 (2.94)	1703 (3.25)	0.127
PEG, n (%)	36 (0.86)	42 (0.93)	38 (0.81)	35 (0.72)	43 (0.83)	61 (1.14)	65 (1.14)	50 (0.85)	50 (0.85)	55 (0.9)	475 (0.91)	0.348
Parenteral nutrition, n (%)	71 (1.7)	79 (1.75)	81 (1.72)	79 (1.62)	98 (1.9)	86 (1.61)	99 (1.74)	100 (1.7)	94 (1.6)	121 (1.99)	908 (1.73)	0.853
Mechanical ventilation, n (%)	32 (0.76)	28 (0.62)	39 (0.83)	42 (0.86)	50 (0.97)	52 (0.97)	81 (1.42)	93 (1.58)	129 (2.19)	105 (1.73)	651 (1.24)	<0.001
Bladder catheterisation, n (%)	145 (3.46)	147 (3.26)	174 (3.7)	195 (3.99)	242 (4.7)	273 (5.11)	267 (4.68)	295 (5.01)	327 (5.56)	338 (5.56)	2403 (4.59)	<0.001
Diabetes
In-hospital mortality, n (%)	283 (16.62)	327 (16.35)	369 (16.06)	373 (15.7)	373 (14.47)	419 (15.32)	447 (15.48)	469 (15.34)	476 (14.37)	466 (14.49)	4002 (15.3)	0.303
LOHS, median (IQR)	8 (9)	9 (9)	8 (9)	8 (9)	8 (9)	8 (9)	8 (9)	7 (8)	7 (8)	7 (8)	8 (9)	<0.001
Readmission, n (%)	288 (16.91)	358 (17.9)	407 (17.72)	416 (17.51)	433 (16.8)	481 (17.59)	493 (17.08)	555 (18.16)	556 (16.78)	518 (16.11)	4505 (17.22)	0.633
CAT, n (%)	433 (25.43)	518 (25.9)	568 (24.73)	538 (22.64)	603 (23.39)	665 (24.31)	673 (23.31)	732 (23.95)	756 (22.82)	775 (24.1)	6261 (23.93)	0.169
MRI, n (%)	60 (3.52)	81 (4.05)	96 (4.18)	81 (3.41)	105 (4.07)	107 (3.91)	117 (4.05)	114 (3.73)	108 (3.26)	109 (3.39)	978 (3.74)	0.561
PEG, n (%)	9 (0.53)	16 (0.8)	15 (0.65)	11 (0.46)	21 (0.81)	24 (0.88)	14 (0.48)	29 (0.95)	28 (0.85)	38 (1.18)	205 (0.78)	0.057
Parenteral nutrition, n (%)	31 (1.82)	29 (1.45)	33 (1.44)	37 (1.56)	30 (1.16)	44 (1.61)	55 (1.91)	31 (1.01)	51 (1.54)	59 (1.83)	400 (1.53)	0.134
Mechanical ventilation, n (%)	7 (0.41)	14 (0.7)	20 (0.87)	17 (0.72)	28 (1.09)	31 (1.13)	33 (1.14)	46 (1.5)	63 (1.9)	40 (1.24)	299 (1.14)	<0.001
Bladder catheterisation, n (%)	48 (2.82)	77 (3.85)	68 (2.96)	110 (4.63)	88 (3.41)	117 (4.28)	132 (4.57)	168 (5.5)	156 (4.71)	183 (5.69)	1147 (4.38)	<0.001

Analysis of the Spanish National Hospital Discharge Database from 2004 to 2013.

p Value for comparison by year: Binary logistic regression for incidence, Kruskal-Wallis for medians, Pearson's χ2 for proportions.

CAT, CT angiography; LOHS, length of hospital stay; PEG, percutaneous endoscopic gastrostomy.

The mean LOHS decreased from 9 days in 2004 to 7 days in 2013 in men without diabetes and from eight to 7 days in men with diabetes (p<0.05). Readmissions remained stable approximately 17% for patients with diabetes, while they slightly increased in men without diabetes ranging from 14.07% in 2004 to 14.65% in 2013 (p<0.05).

Table 3 shows a significant increase in bladder catheterisation in men with diabetes, raising from 2.82% in 2004 to 5.69% in 2013, and from 3.46% to 5.56% in the same period among those without the disease. The use of PEG has remained stable at approximately 1% of hospitalizations due to VaD, both in diabetic and non-diabetic patients. However, there has been a significant increase in the use of mechanical ventilation in diabetic and non-diabetic men, ranging from 0.41% and 0.76% in 2004 to 1.24% and 1.73% in 2013, respectively.

The most commonly used diagnostic procedure was CAT (22.9% in non-diabetic men and 23.93% in diabetic ones) followed by magnetic resonance (3.25% and 3.74%, respectively). The use of CAT in non-diabetic men has significantly decreased, while it has remained stable in diabetic men over the study period.

The IHM among women with diabetes who had a VaD discharge did not vary significantly over the study period (table 4). However, in women without diabetes the IHM was significantly higher in 2004 (16.08%) than in 2013 (14.42%). Over the decade analysed, the LOHS in women of both groups decreased significantly (p<0.05). We found that readmissions significantly increased in women without diabetes, ranging from 11.63% in 2004 to 13.64% in 2013, while it remained stable over time in the case of women with diabetes.

Table 4

Hospitalisations outcomes, diagnosis and therapeutic procedures among women with and without type 2 diabetes hospitalised with vascular dementia

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	Total	p-value
No diabetes
In-hospital mortality, n (%)	722 (16.08)	846 (16.62)	747 (14.89)	772 (14.53)	947 (15.76)	928 (15.3)	920 (14.27)	1042 (15.14)	1085 (15.14)	1027 (14.42)	9036 (15.16)	0.008
LOHS, median (IQR)	8 (9)	8 (9)	8 (9)	8 (9)	8 (9)	8 (9)	7 (9)	7 (8)	7 (7)	7 (7)	8 (9)	<0.001
Readmission, n (%)	522 (11.63)	591 (11.61)	641 (12.77)	686 (12.91)	779 (12.97)	769 (12.68)	910 (14.11)	963(14)	1026 (14.32)	972 (13.64)	7859 (13.19)	<0.001
CAT, n (%)	1109 (24.7)	1182 (23.23)	1214 (24.19)	1280 (24.09)	1364 (22.71)	1338 (22.06)	1503 (23.31)	1525 (22.16)	1497 (20.89)	1570 (22.04)	13 582 (22.79)	<0.001
MRI, n (%)	118 (2.63)	120 (2.36)	120 (2.39)	136 (2.56)	178 (2.96)	165 (2.72)	150 (2.33)	202 (2.94)	147 (2.05)	181 (2.54)	1517 (2.55)	0.027
PEG, n (%)	47 (1.05)	45 (0.88)	48 (0.96)	54 (1.02)	57 (0.95)	67 (1.1)	77 (1.19)	64 (0.93)	93 (1.3)	51 (0.72)	603 (1.01)	0.058
Parenteral nutrition, n (%)	76 (1.69)	105 (2.06)	116 (2.31)	106(2)	110 (1.83)	134 (2.21)	133 (2.06)	133 (1.93)	134 (1.87)	126 (1.77)	1173 (1.97)	0.378
Mechanical ventilation, n (%)	30 (0.67)	20 (0.39)	27 (0.54)	23 (0.43)	35 (0.58)	43 (0.71)	51 (0.79)	91 (1.32)	106 (1.48)	96 (1.35)	522 (0.88)	<0.001
Bladder catheterisation, n (%)	79 (1.76)	97 (1.91)	126 (2.51)	147 (2.77)	168 (2.8)	192 (3.17)	229 (3.55)	241 (3.5)	222 (3.1)	275 (3.86)	1776 (2.98)	<0.001
Diabetes
In-hospital mortality, n (%)	343 (14.75)	383(15)	408 (14.31)	447 (15.31)	452 (14.16)	516 (14.64)	484 (13.65)	530 (13.8)	562 (14.59)	541 (13.88)	4666 (14.35)	0.641
LOHS, median (IQR)	8 (9)	8 (9)	8 (9)	8 (9)	8 (9)	8 (8)	7 (9)	7 (8)	7 (7)	7 (7)	8 (9)	<0.001
Readmission, n (%)	314 (13.5)	370 (14.49)	433 (15.18)	452 (15.48)	503 (15.76)	594 (16.85)	548 (15.45)	625 (16.27)	612 (15.89)	594 (15.23)	5045 (15.52)	0.641
CAT, n (%)	625 (26.87)	650 (25.46)	737 (25.84)	728 (24.93)	802 (25.13)	838 (23.77)	819 (23.1)	955 (24.86)	805 (20.9)	869 (22.29)	7828 (24.08)	<0.001
MRI, n (%)	49 (2.11)	52 (2.04)	81 (2.84)	55 (1.88)	86 (2.69)	97 (2.75)	101 (2.85)	118 (3.07)	98 (2.54)	91 (2.33)	828 (2.55)	0.037
PEG, n (%)	22 (0.95)	22 (0.86)	20 (0.7)	32 (1.1)	31 (0.97)	37 (1.05)	43 (1.21)	34 (0.89)	39 (1.01)	24 (0.62)	304 (0.94)	0.290
Parenteral nutrition, n (%)	63 (2.71)	63 (2.47)	72 (2.52)	43 (1.47)	66 (2.07)	79 (2.24)	59 (1.66)	81 (2.11)	60 (1.56)	65 (1.67)	651(2)	0.002
Mechanical ventilation, n (%)	9 (0.39)	12 (0.47)	17 (0.6)	14 (0.48)	21 (0.66)	28 (0.79)	41 (1.16)	63 (1.64)	54 (1.4)	41 (1.05)	300 (0.92)	<0.001
Bladder catheterisation, n (%)	58 (2.49)	58 (2.27)	71 (2.49)	90 (3.08)	87 (2.73)	105 (2.98)	106 (2.99)	139 (3.62)	138 (3.58)	163 (4.18)	1015 (3.12)	<0.001

Analysis of the Spanish National Hospital Discharge Database from 2004 to 2013.

p Value for comparison by year: Binary logistic regression for incidence, Kruskal-Wallis for medians, Pearson's χ2 for proportions.

CAT, CT angiography; LOHS, length of hospital stay; PEG, percutaneous endoscopic gastrostomy.

Akin to our findings in men, we found a significant increase in the utilisation of mechanical ventilation, from 0.39% to 1.05% in women suffering T2DM and from 0.67% to 1.35% in those without diabetes with VaD over the period of study. The most used diagnostic procedure was CAT for both female groups. Furthermore, it was more frequently used among women with rather than without diabetes every year analysed. In diabetic women, the use of MRI has increased over time.

The comparison of hospitalisation outcomes between men and women with diabetes revealed higher crude IHM among men (15.3%) than women (14.35%) in the whole sample, in all the years studied. Readmission rates were also significantly higher among men than women (17.22% vs 15.52%). In men with diabetes, MRI was significantly more used that in women with diabetes (3.74% vs 2.55%), and PEG was more frequently used among women with diabetes (0.94% vs 0.78%).

The Poisson regression models yielded an IRR for men with T2DM of 2.14 (95% CI 2.11 to 2.16). This means that the incidence of VaD hospitalisations among men with diabetes was two times higher than among men without, when all other possible confounding variables were controlled. The corresponding figure for women was 2.22 (95% CI 2.19 to 2.25).

As can be seen in table 5, for both gender, the IHM was higher in older subjects (OR 1.54; 95% CI 1.40 to 1.69 and OR 1.48; 95% CI 1.38 to 1.59 in ≥85 aged group in comparison with 70–74 years that was used as the reference category). The IHM was significantly higher in subjects with diabetes suffering more comorbidities (OR 1.35; 95% CI, 1.27 to 1.42 and OR 1.62; 95% CI, 1.54 to 1.70 for those men and women with ≥3 comorbidities).

Table 5

Factors associated to in hospital mortality among men and women with and without type 2 diabetes hospitalised with vascular dementia

		Men	Woman	Both
		OR (95 CI%)	OR (95 CI%)	OR (95 CI%)
Sex	Men	NA	NA	1.01 (0.98 to 1.04)
Age group	70–74 years	1	1	1
	75–79 years	1.07 (0.99 to 1.15)	1.11 (1.01 to 1.23)	1.08 (1.052 to 1.15)
	80–84 years	1.24 (1.15 to 1.33)	1.24 (1.13 to 1.37)	1.24 (1.17 to 1.31)
	≥85 years	1.48 (1.38 to 1.59)	1.54 (1.40 to 1.69)	1.51 (1.42 to 1.60)
Charlson Comorbidity Index	1	1	1	1
	2	1.11 (1.05 to 1.17)	1.23 (1.17 to 1.29)	1.18 (1.13 to 1.22)
	3+	1.35 (1.27 to 1.42)	1.62 (1.54 to 1.70)	1.49 (1.43 to 1.54)
Atrial fibrillation		1.15 (1.09 to 1.20)	1.21 (1.16 to 1.26)	1.18 (1.15 to 1.22)
Hypertension		0.83 (0.80 to 0.87)	0.87 (0.84 to 0.90)	0.85 (0.83 to 0.87)
Malnutrition		0.91 (0.83 to 1.00)	0.91 (0.83 to 0.99)	0.91 (0.85 to 0.97)
Pneumonia		2.55 (2.44 to 2.65)	2.64 (2.53 to 2.75)	2.59 (2.52 to 2.67)
Urinary tract infection		0.85 (0.81 to 0.90)	0.79 (0.75 to 0.83)	0.82 (0.79 to 0.85)
LOHS (days)		0.98 (0.97 to 0.99)	0.98 (0.97 to 0.99)	0.98 (0.97 to 0.99)
Readmission		1.45 (1.38 to 1.52)	1.38 (1.31 to 1.44)	1.41 (1.36 to 1.46)
CAT		0.69 (0.66 to 0.73)	0.67 (0.64 to 0.71)	0.68 (0.66 to 0.71)
MRI		0.37 (0.31 to 0.45)	0.25 (0.20 to 0.32)	0.32 (0.27 to 0.37)
PEG		0.44 (0.34 to 0.57)	0.32 (0.24 to 0.42)	0.37 (0.31 to 0.45)
Parenteral nutrition		1.45 (1.27 to 1.66)	1.17 (1.03 to 1.32)	1.29 (1.18 to 1.41)
Mechanical ventilation		2.98 (2.59 to 3.43)	2.67 (2.29 to 3.11)	2.83 (2.55 to 3.14)
Type 2 diabetes		0.99 (0.95 to 1.04)	1.01 (0.97 to 1.05)	1.00 (0.98 to 1.03)
Year		0.97 (0.96 to 0.98)	0.97 (0.96 to 0.98)	0.97 (0.96 to 0.98)

Analysis of the Spanish National Hospital Discharge Database from 2004 to 2013.

CAT, CT angiography; LOHS, length of hospital stay; PEG, percutaneous endoscopic gastrostomy

IHM was associated with pneumonia (OR 2.5; 95% CI 2.44 to 2.65 in men and OR 2.64; 95% CI 2.53 to 2.75 in women) and in atrial fibrillation sufferers (OR 1.15; 95% CI 1.09 to 1.20 in men and OR 1.21; 95% CI 1.16 to 1.26 in women).

The men and women with diabetes who required mechanical ventilation showed higher probabilities of dying (2.98-fold and 2.67-fold, respectively) compared with patients who did not require this procedure. The use of PEG was associated with a reduced IHM among both men and women with diabetes and admitted for VaD (OR 0.44; 95% CI 0.34 to 0.45 and OR 0.32; 95% CI 0.24 to 0.42, respectively). In contrast, patients who received parenteral nutrition were more likely to die during their stay (OR 1.45; 95% CI 1.27 to 1.66 and OR 1.17; 95% CI 1.03 to 1.32, respectively).

The time-trend analysis revealed a significant reduction in IHM between 2004 and 2013 in patients with diabetes (OR 0.97; 95% CI 0.96 to 0.98). The analysis of the whole database, and after multivariable adjustment, revealed that suffering from diabetes was not a predictor of IHM in any gender (OR 0.99; 95% CI 0.95 to 1.04 in men and OR 1.01; 95% CI 0.97 to 1.05 in women).

Discussion

In this study of more than 170 000 admissions for VaD, we found that the prevalence of T2DM among men and women hospitalised has increased over time in all age groups. This finding is not surprising because the prevalence of diabetes and dementia are both rapidly increasing.2 6

A number of epidemiological studies to date have focused on the association between diabetes and the risk of dementia. Ohara et al 15 reported an increase in the prevalence of all-cause dementia in the Japanese population, and diabetes was also identified as a significant risk factor. Growing evidence supporting a biological relationship between diabetes and VaD suggests a multifactorial pathogenesis that involves vascular changes, hyperglycaemic toxicity, insulin metabolism and chronic inflammation.16 17 Diabetes represents a well-established risk factor for macrovascular and microvascular complications such as stroke18; this suggests that there is a robust association between diabetes and VaD, that is, one that is not a consequence of confounding. In our study, age was the most strongly associated factor for VaD, and patients with diabetes were significantly younger than those without. Previous research has shown that patients with both VaD and T2DM have a significantly earlier onset of VaD, a faster rate of cognitive decline and a greater prevalence of neuropsychiatric symptoms than patients with VaD alone.19 In our study we found, as expected, a higher prevalence of hypertension among patients with diabetes compared with those without. It has been reported that arterial stiffness and small vessel disease can predict future cognitive decline in elderly people with T2DM.20 Over time, we found that subjects admitted to the hospital with VaD were progressively older, with increasing comorbid conditions and more hospital readmissions, which highlight the increasing frailty of these patients. A link between comorbidity and the risk of dementia in patients with diabetes has also been published.21 It seems necessary that to reduce the medical and social financial burden associated with dementia, the focus should be on chronic disease prevention.

Infections, diabetes or their complications have been highlighted as common reasons for hospital admission in patients with dementia.22 In our study, pneumonia and urinary tract infections significantly increased over the study period. The use of bladder catheterisation has significantly increased over time, which can contribute to the higher observed prevalence of urinary tract infections, but they are not associated with higher mortality. However, pneumonia is one of the infectious complications that has significantly increased over the study period and is also associated with a worse prognosis. The use of mechanical ventilation has also significantly increased, and it is also associated with higher IHM. This finding is relevant because it seems to be a bidirectional relationship: hospitalisation with pneumonia has been associated with dementia and persistent cognitive dysfunction with severe infections.23 On the other hand, dysphagia occurs frequently in patients with dementia and is related to aspiration pneumonia. Interestingly, we have found lower mortality in patients fed by PEG. This protective effect could be associated with a better nutritional and hydration status and potentially lower rates of aspiration pneumonia, but this is only a hypothesis because our study design is not appropriate to assess the association between PEG and pneumonia. Furthermore, there is controversial evidence on this issue. A study by Finucane et al was unable to find data suggesting that tube feeding of subjects with advanced dementia was useful to prevent aspiration pneumonia, lengthened survival or provided palliation,24 while Nakajoh et al compared incidence of pneumonia in stroke subjects who also suffered dysphagia finding lower rates in those with tube feeding than in those orally fed (13.2% vs 54.3, p<0.001).25

As has been described previously for ischaemic and haemorrhagic stroke, we did not find an increased IHM due to VaD in patients with diabetes compared with those without the disease.18 26 Although obesity is accepted to be a major risk factor for the development of cardiovascular diseases and diabetes, a higher BMI may be related to a lower mortality and improved outcome in a number of chronic diseases.27–29 Over the past decade, many research has shown that individuals, especially those of older ages, who have several comorbid chronic diseases and a high body mass index (BMI) may have lower figures of all-cause and cardiovascular mortality compared with normal-weight subjects.27 This observation has been referred to as ‘the obesity paradox’.28 29 Possibly, the protective effect of the nutritional status in older individuals who are overweight and obese and the negative health effects of undernutrition in non-overweight individuals are partly responsible for this paradox. Although unfortunately in our study the BMI of patients admitted for VaD was not registered, this could be a possible explanation. This hypothesis concerning a better nutritional status is consistent with the better outcomes described above in those patients undergoing PEG.

Our study has several strengths, including the large sample, the 10-year follow-up and use of standardised methods.30 However, this study is not exempt from limitations. In the first place, the CMBD includes administrative discharge data and is based on data that the physician recorded in the discharge report. Therefore, we lack information on relevant variables that may act as confounders, such as VaD or T2DM duration or treatments for this last condition, among others. Calculation of incidence on the basis of a database without any access to sociodemographic variables is another limitation.

A further important limitation is the lack of specificity of clinically defined VaD. The cognitive impairment observed in VaD and AD plus atherosclerosis might overlap extensively. Thus, it would be advisable to consider other databases, such as mortality registries, in addition to discharge data, to help detect patients with VaD who die outside of hospital, especially at nursing homes. Unfortunately, such resources are currently unavailable for us in Spain.

Finally, as we state in the ethics section, patient identifiers were removed prior to our accessing the database, for the purpose of protecting patient anonymity, thus it is impossible to identify individual patients, either in this paper or in the database. Therefore, it is impossible for us to select a sample of study participant and to identify their medical records to validate the VaD and T2DM diagnosis because we do not know in which hospital the participant was admitted.

Van de Vorst et al compared the ICD-9-CM codes for VaD with medical records in the Dutch Hospital Discharge Register and concluded that the validity is high. For VaD the positive predictive Value (PPV) was of 91.3% (95% CI 72.0% to 98.8%), and no significant differences were found in PPV according to age, sex, the diagnostic setting and comorbid conditions.31

Regarding the validity of the diabetes diagnosis, a recent review and meta-analysis based on the reports of six studies found that a common administrative database definition for diabetes had a pooled specificity of 97.9% and a sensitivity of 82.3%.32

In Canada, Kokotailo et al found that, among patients with stroke, when compared with hospital medical record, the ICD-9-CM diagnosis of DM in the discharge report had a sensitivity of 94% (95% CI 69% to 99%) and a specificity of 98% (95% CI 91% to 99%).33

Conclusions

Our findings reveal a significant increase of the incidence of suffering from VaD during the study period. Men and women with T2DM display more than double the risk of VaD admissions after adjustment for other risk factors. Patients admitted with VaD were progressively older and had multiple comorbidities. Pneumonia was associated with poorer prognosis, and the use of PEG was associated with reduced mortality. Diabetes was not associated with IHM, and the time trends show that mortality is decreasing over time.