| Literature DB >> 24383412 |
Ana Lopez-de-Andres1, Rodrigo Jimenez-García, Valentin Hernandez-Barrera, Napoleon Perez-Farinos, Jose M de Miguel-Yanes, Manuel Mendez-Bailon, Isabel Jimenez-Trujillo, Angel Gil de Miguel, Carmen Gallardo Pino, Pilar Carrasco-Garrido.
Abstract
BACKGROUND: Diabetes is associated with a high risk of death due to coronary artery disease (CAD). People with diabetes suffering from CAD are frequently treated with revascularization procedures. We aim to compare trends in the use and outcomes of coronary revascularization procedures in diabetic and non-diabetic patients in Spain between 2001 and 2011.Entities:
Mesh:
Year: 2014 PMID: 24383412 PMCID: PMC3881504 DOI: 10.1186/1475-2840-13-3
Source DB: PubMed Journal: Cardiovasc Diabetol ISSN: 1475-2840 Impact factor: 9.951
Figure 1Joinpoint analysis in annual PCI in patients with type 2 diabetes in Spain, 2001–2011. Footnote: APC: Annual percent change (based on rates that were sex and aged-adjusted using the Spanish National Statistics Institute Census projections) calculated by using joinpoint regression analysis. ˆAPC is significantly different from zero (two-side P < 0.05).
Figure 2Joinpoint analysis in annual PCI in patients without type 2 diabetes in Spain, 2001–2011. Footnote: APC: Annual percent change (based on rates that were sex and aged-adjusted using the Spanish National Statistics Institute Census projections) calculated by using joinpoint regression analysis. ˆAPC is significantly different from zero (two-side P < 0.05).
Characteristics and outcomes of hospital discharges after percutaneous coronary intervention among patients with and without type 2 diabetes in Spain, 2001–2011
| No diabetes | N | 16200 | 18842 | 21438 | 24375 | 27745 | 29184 | 31607 | 33452 | 34840 | 34463 | 35186 |
| Incidence* | 71.3 | 82.1 | 91.4 | 101.8 | 113.5 | 116.8 | 123.8 | 128.4 | 131.4 | 128.2 | 128.9 | |
| Age§, mean | 62.9 | 63.0 | 62.8 | 63.3 | 63.7 | 63.9 | 64.1 | 64.3 | 64.4 | 64.3 | 64.5 | |
| (SD) | (11.4) | (11.6) | (11.7) | (11.7) | (11.8) | (11.9) | (12.0) | (12.2) | (12.3) | (12.4) | (12.5) | |
| Female ǂ, n | 3039 | 3526 | 3971 | 4771 | 5542 | 5866 | 6353 | 6820 | 7199 | 7097 | 7389 | |
| (%) | (18.7) | (18.7) | (18.5) | (19.5) | (19.9) | (20.1) | (20.1) | (20.3) | (20.6) | (20.5) | (21) | |
| CCI 0ǂ, n | 12541 | 14250 | 16116 | 18102 | 20564 | 21687 | 22987 | 24070 | 24771 | 24362 | 24683 | |
| (%) | (77.4) | (75.6) | (75.1) | (74.2) | (74.1) | (74.3) | (72.7) | (71.9) | (71.1) | (70.6) | (70.1) | |
| CCI 1-2ǂ, n | 3561 | 4473 | 5152 | 6057 | 6928 | 7204 | 8265 | 8937 | 9574 | 9538 | 9948 | |
| (%) | (21.9) | (23.7) | (24.0) | (24.8) | (24.9) | (24.6) | (26.1) | (26.7) | (27.4) | (27.6) | (28.2) | |
| CCI ≥ 3ǂ, n | 98 | 119 | 170 | 216 | 253 | 293 | 355 | 445 | 495 | 563 | 55 | |
| (%) | (0.6) | (0.6) | (0.7) | (0.8) | (0.9) | (1.0) | (1.1) | (1.3) | (1.4) | (1.6) | (1.5) | |
| LOS§, median | 6.0 | 6.0 | 6.0 | 6.0 | 6.0 | 6.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | |
| (IQR) | (9.0) | (8.0) | (8.0) | (8.0) | (7.0) | (7.0) | (7.0) | (7.0) | (6.0) | (6.0) | (6.0) | |
| IHM ǂ, n | 317 | 310 | 400 | 458 | 522 | 510 | 591 | 691 | 782 | 746 | 828 | |
| (%) | (1.9) | (1.6) | (1.8) | (1.8) | (1.8) | (1.7) | (1.8) | (2.0) | (2.2) | (2.1) | (2.3) | |
| Type 2 diabetes | N | 4369 | 5847 | 7675 | 9188 | 11235 | 12276 | 13607 | 14662 | 15652 | 15807 | 16458 |
| Incidence* | 18.8 | 24.9 | 32.1 | 37.7 | 45.3 | 48.5 | 52.8 | 55.8 | 58.8 | 58.6 | 60.3 | |
| Age§, mean | 66.1 | 66.5 | 66.5 | 66.8 | 67.0 | 67.4 | 67.7 | 67.9 | 67.8 | 68.2 | 68.2 | |
| (SD) | (9.7) | (9.7) | (9.7) | (9.8) | (9.9) | (9.9) | (10.1) | (10.2) | (10.3) | (10.4) | (10.4) | |
| Female ǂ, n | 1440 | 1937 | 2463 | 2852 | 3454 | 3853 | 4255 | 4577 | 4618 | 4579 | 4723 | |
| (%) | (32.9) | (33.1) | (32.0) | (31.0) | (30.7) | (31.3) | (31.2) | (31.2) | (29.5) | (28.9) | (28.7) | |
| CCI 0ǂ, n | 3034 | 3962 | 5040 | 5971 | 7266 | 8152 | 8586 | 8871 | 9405 | 9443 | 9691 | |
| (%) | (69.4) | (67.7) | (65.6) | (64.9) | (64.6) | (66.4) | (63.1) | (60.5) | (60.0) | (59.7) | (58.8) | |
| CCI 1-2ǂ, n | 1284 | 1805 | 2514 | 3067 | 3755 | 3916 | 4745 | 5428 | 5846 | 5915 | 6308 | |
| (%) | (29.3) | (30.8) | (32.7) | (33.3) | (33.4) | (31.9) | (34.8) | (37.0) | (37.3) | (37.4) | (38.3) | |
| CCI ≥ 3ǂ, n | 51 | 80 | 121 | 150 | 214 | 208 | 276 | 363 | 401 | 449 | 459 | |
| (%) | (1.1) | (1.3) | (1.5) | (1.6) | (1.9) | (1.6) | (2.0) | (2.4) | (2.5) | (2.8) | (2.7) | |
| LOS§, median | 7.0 | 7.0 | 7.0 | 7.0 | 7.0 | 6.0 | 6.0 | 6.0 | 6.0 | 6.0 | 6.0 | |
| (IQR) | (10.0) | (10.0) | (9.0) | (9.0) | (8.0) | (8.0) | (7.0) | (7.0) | (7.0) | (7.0) | (6.0) | |
| IHM ǂ, n | 85 | 157 | 186 | 201 | 289 | 314 | 332 | 403 | 405 | 419 | 425 | |
| (%) | (1.9) | (2.6) | (2.4) | (2.1) | (2.5) | (2.5) | (2.4) | (2.7) | (2.5) | (2.6) | (2.5) |
N: Number of procedures; LOS: length of stay; IHM: In-hospital mortality;
CCI (Charlson Comorbidity Index): Comorbidities included in the Charlson comorbidity index, except diabetes and AMI.
Incidence per 100.000. Incidence was calculated using the Spanish National Statistics Institute census projections adjusted by sex and age (16).
*P < 0.05 (Poisson regression analysis).
§P < 0.05 (ANOVA or Kruskal-Wallis analysis).
ǂP < 0.05(χ2 linear tend analysis).
Multivariate analysis of the factors associated with in-hospital mortality after coronary revascularization procedures among patients with and without type 2 diabetes in Spain, 2001-2011
| | |||||||
|---|---|---|---|---|---|---|---|
| | | ||||||
| Age (years) | 35-59 | 1 | 1 | 1 | 1 | 1 | 1 |
| 60-69 | 1.49 | 1.65 | 1.45 | 1.47 | 1.46 | 1.50 | |
| (1.30-1.70) | (1.35-2.01) | (1.33-1.58) | (1.31-1.63) | (1.36-1.57) | (1.37-1.65) | ||
| 70-79 | 2.38 | 2.69 | 2.30 | 2.33 | 2.34 | 2.40 | |
| (2.10-2.71) | (2.23-3.25) | (2.14-2.48) | (2.10-2.57) | (2.19-2.49) | (2.20-2.63) | ||
| ≥80 | 3.73 | 3.55 | 3.93 | 3.42 | 3.88 | 3.44 | |
| (3.25-4.29) | (2.72-4.62) | (3.62-4.28) | (2.99-3.91) | (3.61-4.16) | (3.05-3.88) | ||
| Sex | Men | 1 | 1 | 1 | 1 | 1 | 1 |
| Female | 1.36 | 1.69 | 1.34 | 1.53 | 1.35 | 1.58 | |
| (1.26-1.46) | (1.52-1.89) | (1.26-1.42) | (1.42-1.65) | (1.29-1.41 | (1.49-1.68) | ||
| Charlson index | 0 | 1 | 1 | 1 | 1 | 1 | 1 |
| 1-2 | 2.92 | 2.58 | 3.14 | 2.56 | 3.07 | 2.56 | |
| (2.71-3.15) | (2.31-2.88) | (2.98-3.31) | (2.40-2.74) | (2.94-3.21) | (2.42-2.72) | ||
| ≥3 | 5.27 | 4.95 | 6.62 | 5.43 | 6.07 | 5.27 | |
| (4.51-6.15) | (3.83-6.42) | (5.86-7.48) | (4.62-6.38) | (5.51-6.68) | (4.60-6.05) | ||
| Diabetes | No | - | - | - | - | 1 | 1 |
| Yes | - | - | - | - | 0.99 | 0.67 | |
| - | - | - | - | (0.95-1.04) | (0.63-0.71) | ||
| Year | 0.99 | 0.93 | 1.00 | 0.95 | 0.99 | 0.94 | |
| (0.97-1.00) | (0.91-0.94) | (0.99-1.01) | (0.93-0.96) | (0.98-1.01) | (0.93-0.95) | ||
†Calculate using logistic regression models: Odds Ratio (OR). The logistic regression multivariate model were built using as dependent variable”death (yes/no)” of PCI or CABG respectively, and as independent variables year, sex, Charlson comorbidity index and age.
Figure 3Joinpoint analysis in annual CABG in patients with type 2 diabetes in Spain, 2001–2011. Footnote: APC: Annual percent change (based on rates that were sex and aged-adjusted using the Spanish National Statistics Institute Census projections) calculated by using joinpoint regression analysis. ˆAPC is significantly different from zero (two-side P < 0.05).
Figure 4Joinpoint analysis in annual CABG in patients without type 2 diabetes in Spain, 2001–2011. Footnote: APC: Annual percent change (based on rates that were sex and aged-adjusted using the Spanish National Statistics Institute Census projections) calculated by using joinpoint regression analysis. ˆAPC is significantly different from zero (two-side P < 0.05).
Characteristics and outcomes of hospital discharges after coronary artery bypass graft among patients with and without type 2 diabetes in Spain, 2001–2011
| No diabetes | N | 5487 | 5445 | 5258 | 5203 | 4728 | 4558 | 4753 | 4746 | 4492 | 4416 | 4434 |
| Incidence* | 23.6 | 23.2 | 21.9 | 21.2 | 18.9 | 17.9 | 18.3 | 18.0 | 16.8 | 16.3 | 16.2 | |
| Age§, mean | 65.4 | 65.2 | 65.6 | 66.1 | 66.6 | 66.9 | 66.8 | 66.9 | 67.0 | 67 | 67.6 | |
| (SD) | (9.8) | (9.8) | (9.9) | (9.9) | (9.8) | (10.0) | (10.0) | (10.1) | (10.2) | (10.4) | (10.3) | |
| Female ǂ, n | 1055 | 1038 | 998 | 1043 | 949 | 869 | 958 | 978 | 872 | 921 | 865 | |
| (%) | (19.2) | (19.0) | (18.9) | (20.0) | (20.0) | (19.0) | (20.1) | (20.6) | (19.4) | (20.8) | (19.5) | |
| CCI 0ǂ, n | 3889 | 3813 | 3536 | 3405 | 2983 | 2830 | 2909 | 2857 | 2607 | 2626 | 2605 | |
| (%) | (70.8) | (70.0) | (67.2) | (65.4) | (63.0) | (62.0) | (61.2) | (60.2) | (58.0) | (59.4) | (58.7) | |
| CCI 1-2ǂ, n | 1552 | 1572 | 1649 | 1714 | 1656 | 1642 | 1750 | 1801 | 1784 | 1670 | 1713 | |
| (%) | (28.2) | (28.8) | (31.3) | (32.9) | (35.0) | (36.0) | (36.8) | (37.9) | (39.7) | (37.8) | (38.6) | |
| CCI ≥ 3ǂ, n | 46 | 60 | 73 | 84 | 89 | 86 | 94 | 88 | 101 | 120 | 116 | |
| (%) | (0.8) | (1.1) | (1.3) | (1.6) | (1.8) | (1.8) | (1.9) | (1.8) | (2.2) | (2.7) | (2.6) | |
| LOS§, median | 16.0 | 16.0 | 16.0 | 15.0 | 16.0 | 16.0 | 16.0 | 15.0 | 15.0 | 14.0 | 15.0 | |
| (IQR) | (16.0) | (15.0) | (14.0) | (15.0) | (16.0) | (13.0) | (15.0) | (14.0) | (14.0) | (12.0) | (14.0) | |
| IHM ǂ, n | 526 | 463 | 442 | 395 | 361 | 358 | 374 | 392 | 312 | 314 | 300 | |
| (%) | (9.5) | (8.5) | (8.4) | (7.5) | (7.6) | (7.8) | (7.8) | (8.2) | (6.9) | (7.1) | (6.7) | |
| Type 2 diabetes | N | 1937 | 2159 | 2473 | 2425 | 2429 | 2527 | 2393 | 2587 | 2555 | 2479 | 2502 |
| Incidence* | 8.2 | 9.0 | 10.2 | 9.8 | 9.6 | 9.8 | 9.2 | 9.8 | 9.5 | 9.1 | 9.1 | |
| Age§, mean | 66.1 | 66.8 | 66.7 | 67.0 | 67.2 | 67.7 | 67.3 | 67.4 | 67.5 | 68.0 | 67.8 | |
| (SD) | (8.6) | (8.4) | (8.4) | (8.7) | (8.3) | (8.6) | (8.8) | (8.8) | (8.8) | (8.9) | (8.7) | |
| Female ǂ, n | 566 | 634 | 743 | 681 | 695 | 663 | 598 | 639 | 640 | 636 | 589 | |
| (%) | (29.2) | (29.3) | (30.0) | (28.0) | (28.6) | (26.2) | (24.9) | (24.7) | (25.0) | (25.6) | (23.5) | |
| CCI 0ǂ, n | 1315 | 1395 | 1549 | 1484 | 1448 | 1533 | 1371 | 1454 | 1398 | 1343 | 1362 | |
| (%) | (67.8) | (64.6) | (62.6) | (61.2) | (59.6) | (60.6) | (57.2) | (56.2) | (54.7) | (54.1) | (54.4) | |
| CCI 1-2ǂ, n | 600 | 730 | 885 | 893 | 937 | 952 | 967 | 1074 | 1096 | 1064 | 1070 | |
| (%) | (30.9) | (33.8) | (35.7) | (36.8) | (38.5) | (37.6) | (40.4) | (41.5) | (42.9) | (42.9) | (42.7) | |
| CCI ≥ 3ǂ, n | 22 | 34 | 39 | 48 | 44 | 42 | 55 | 59 | 61 | 72 | 70 | |
| (%) | (1.1) | (1.5) | (1.5) | (1.9) | (1.8) | (1.6) | (2.3) | (2.2) | (2.3) | (2.9) | (2.8) | |
| LOS§, median | 18.0 | 18.0 | 17.0 | 16.0 | 16.0 | 17.0 | 16.0 | 16.0 | 15.0 | 15.0 | 14.0 | |
| (IQR) | (17.0) | (17.0) | (16.0) | (16.0) | (16.0) | (15.0) | (16.0) | (15.0) | (14.0) | (14.0) | (14.0) | |
| IHM ǂ, n | 138 | 172 | 144 | 149 | 168 | 160 | 132 | 135 | 112 | 118 | 112 | |
| (%) | (7.1) | (7.9) | (5.8) | (6.1) | (6.9) | (6.3) | (5.5) | (5.2) | (4.3) | (4.7) | (4.4) |
N: Number of procedures; LOS: length of stay; IHM: In-hospital mortality; CCI (Charlson Comorbidity Index): Comorbidities included in the Charlson comorbidity index, except diabetes and AMI.
Incidence per 100.000. Incidence was calculated using the Spanish National Statistics Institute census projections adjusted by sex and age (16).
*P < 0.05 (Poisson regression analysis).
§P < 0.05 (ANOVA or Kruskal-Wallis analysis).
ǂP < 0.05(χ2 linear tend analysis).