| Literature DB >> 31998798 |
Giulia Scondotto1, Janet Sultana2, Valentina Ientile1, Ylenia Ingrasciotta2, Andrea Fontana3, Massimiliano Copetti3, Eliana Mirabelli2, Costantino J Trombetta2, Carlo Rapisarda4, Michele Reibaldi4, Teresio Avitabile4, Antonio Longo4, Patricia Ibanez Toro5, Maria Vadalà6, Salvatore Cillino7, Gianni Virgili8, Rosa Gini9, Olivia Leoni10, Sebastiano Walter Pollina Addario11, Pasquale Cananzi12, Claudia La Cavera12, Maria Rosalia Puzo5, Giovambattista De Sarro13, Adele De Francesco14, Gianluca Trifirò1,2.
Abstract
PURPOSE: To describe intravitreal anti-VEGF drug and dexamethasone use in four Italian regions.Entities:
Mesh:
Substances:
Year: 2020 PMID: 31998798 PMCID: PMC6977336 DOI: 10.1155/2020/7582763
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1Identification of incident users of intravitreal anti-VEGF drugs or dexamethasone. Footnote: anti-VEGF: vascular endothelial growth factor; ID: Index Date (i.e., date of the first anti-VEGF or intravitreal dexamethasone dispensing during the study years). Data availability ranged from 2010 to 2016 in Lombardy, from 2012 to 2015 in Calabria, and from 2012 to 2016 in Sicily and Basilicata. The crude numbers of inhabitants of each region used to calculate the mean yearly populations were based on official demographic data published by the Italian National Institute of Statistics
Figure 2Yearly prevalence of use per 10,000 persons of intravitreal anti-VEGF or dexamethasone in the general population, grouped by region and calendar years (2010–2016). Error bars represent the Wilson score 95% confidence interval (with continuity correction) around prevalence estimates.
Characteristics of incident anti-VEGF/dexamethasone users, stratified by drug dispensed at the index date.
| Ranibizumab | Aflibercept | Pegaptanib | Dexamethasone | Overall | |
|---|---|---|---|---|---|
| Sex | |||||
| Female | 16,735 (55.2) | 2,594 (55.3) | 272 (51.8) | 2,442 (46.0) | 22,043 (54.0) |
| Male | 13,563 (44.8) | 2,095 (44.7) | 253 (48.2) | 2,861 (54.0) | 18,772 (46.0) |
|
| |||||
| Age (years), median (IQR) | 73.7 (67.0–82.0) | 76.1 (71.0–83.0) | 78.0 (73.0–83.0) | 70.0 (63.0–78.0) | 73.5 (67.0–82.0) |
|
| |||||
| Age classes | |||||
| <65 | 5,434 (17.9) | 518 (11.0) | 30 (5.7) | 1,462 (27.6) | 7,444 (18.2) |
| 65–74 | 8,510 (28.1) | 1,201 (25.6) | 122 (23.2) | 1,745 (32.9) | 11,578 (28.4) |
| 75–84 | 11,842 (39.1) | 2,116 (45.1) | 267 (50.9) | 1,699 (32.0) | 15,924 (39.0) |
| ≥85 | 4,512 (14.9) | 854 (18.2) | 106 (20.2) | 397 (7.5) | 5,869 (14.4) |
|
| |||||
| Centre | |||||
| Lombardy | 26,270 (86.7) | 3,790 (80.8) | 508 (96.8) | 4,776 (90.1) | 35,344 (86.6) |
| Sicily | 3,100 (10.2) | 811 (17.3) | 10 (1.9) | 381 (7.2) | 4,302 (10.5) |
| Calabria | 673 (2.2) | 80 (1.7) | 7 (1.3) | 124 (2.3) | 884 (2.2) |
| Basilicata | 255 (0.8) | 8 (0.2) | — | 22 (0.4) | 285 (0.7) |
|
| |||||
| FU (years), median (Q1-Q3) | 2.6 (1.0–4.0) | 0.9 (0–2.0) | 4.3 (3.0–6.0) | 1.9 (1.0–3.0) | 2.3 (1.0–3.0) |
|
| |||||
| Comorbidities | |||||
| Cardio- and cerebrovascular disease | |||||
| Hypertension | 23,041 (76.0) | 3,717 (79.2) | 438 (83.4) | 4,046 (76.3) | 31,242 (76.5) |
| Heart failure | 1,678 (5.5) | 299 (6.4) | 33 (6.3) | 344 (6.5) | 2,354 (5.8) |
| Arrhythmias | 3,268 (10.8) | 619 (13.2) | 83 (15.8) | 545 (10.3) | 4,515 (11.1) |
| Venous or arterial TE | 292 (1.0) | 44 (0.9) | 4 (0.8) | 51 (1.0) | 391 (1.0) |
| Ischemic heart disease | 2,627 (8.7) | 439 (9.4) | 66 (12.6) | 535 (10.1) | 3,667 (9.0) |
| Stroke and TIA | 4,208 (13.8) | 744 (15.8) | 124 (23.6) | 873 (16.4) | 6,029 (14.7) |
|
| |||||
| Metabolic disease | |||||
| Dyslipidemia | 13,410 (44.3) | 2,133 (45.5) | 236 (45.0) | 2,352 (44.4) | 18,131 (44.4) |
| Diabetes mellitus | 9,918 (32.7) | 1,160 (24.7) | 101 (19.2) | 1,688 (31.8) | 12,867 (31.5) |
|
| |||||
| Neurodegenerative disorders | |||||
| Parkinson's disease | 686 (2.3) | 148 (3.2) | 15 (2.9) | 122 (2.3) | 971 (2.4) |
| Dementia | 207 (0.7) | 35 (0.7) | 4 (0.8) | 24 (0.5) | 270 (0.7) |
|
| |||||
| Other diseases | |||||
| CKD | 768 (2.5) | 133 (2.8) | 16 (3.0) | 207 (3.9) | 1124 (2.8) |
| COPD | 576 (1.9) | 194 (4.1) | 5 (1.0) | 102 (1.9) | 877 (2.1) |
| Glaucoma | 1,767 (5.8) | 205 (4.4) | 30 (5.7) | 283 (5.3) | 2,285 (5.6) |
| Cancer | 5,581 (18.4) | 1,038 (22.1) | 86 (16.4) | 900 (17) | 7,605 (18.6) |
|
| |||||
| Comorbidities Charlson's index | |||||
| 0 | 16,271 (53.7) | 2,628 (56.0) | 304 (57.9) | 2,894 (54.6) | 22,097 (54.1) |
| 1 | 1,739 (5.7) | 370 (7.9) | 67 (12.8) | 269 (5.1) | 2,445 (6.0) |
| 2 | 1,823 (6.0) | 397 (8.5) | 37 (7.0) | 366 (6.9) | 2,623 (6.4) |
| 3 | 6,027 (19.9) | 767 (16.4) | 71 (13.5) | 950 (17.9) | 7,815 (19.1) |
| ≥4 | 4,438 (14.6) | 527 (11.2) | 46 (8.8) | 824 (15.5) | 5,835 (14.3) |
|
| |||||
| Number of drugs | |||||
| 0 | 3,401 (11.2) | 559 (11.9) | 31 (5.9) | 561 (10.6) | 4,552 (11.2) |
| 1–3 | 10,660 (35.2) | 1,609 (34.3) | 140 (26.7) | 1,932 (36.4) | 14,341 (35.1) |
| 4–6 | 9,085 (30.0) | 1,435 (30.6) | 195 (37.1) | 1,555 (29.3) | 12,270 (30.1) |
| >6 | 7,152 (23.6) | 1,086 (23.2) | 159 (30.3) | 1,255 (23.7) | 9,652 (23.6) |
CDK: chronic kidney disease; COPD: Chronic obstructive pulmonary disease; FU: follow-up; IQR: interquartile range (i.e., 1st - 3rd quartiles); TE: thromboembolism; TIA: transient ischemic attack; VEGF: vascular endothelial growth factor. Within 90 days prior to the index date.
Figure 3Distribution of the number of days between intravitreal anti-VEGF pharmacy claims among incident users, by drug dispensed at cohort entry. The solid line inside each box represents the median value whereas each circled dot represents the mean value.
Figure 4Distribution of the number of days between intravitreal dexamethasone pharmacy claims among incident users. The solid line inside each box represents the median value whereas each circled dot represents the mean value.
Figure 5Switching pattern among incident users with at least two pharmacy claims within the first year of treatment after cohort entry. Percentages are shown on the arrows.