| Literature DB >> 36062091 |
Yake Lou1, Ying Yu2,3, Jinxing Liu4, Jing Huang1.
Abstract
Background: Sacubitril-valsartan was recommended for heart failure (HF) and proven cost-effective in HF. Recently, sacubitril-valsartan has been recommended to treat hypertension by the Chinese expert consensus. The cost utility of sacubitril-valsartan for hypertension remains uninvestigated.Entities:
Keywords: angiotensin-neprilysin inhibitors; cost-utility analysis; hypertension; meta-analysis; sacubitril-valsartan
Mesh:
Substances:
Year: 2022 PMID: 36062091 PMCID: PMC9432800 DOI: 10.3389/fpubh.2022.959139
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Flowchart diagram of citation screening.
Figure 2Markov model using state transition diagram.
Model parameters.
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| HF | 0.28% | 0.25% | 0.30% | ( |
| Stroke | 0.35% | 0.33% | 0.36% | ( |
| CHD | 1.02% | / | / | ( |
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| HF | 6.46% | 6.10% | 6.82% | ( |
| Stroke | 9.88% | 9.21% | 10.55% | ( |
| CHD | 12.18% | / | / | ( |
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| HF | 2.80% | 2.63% | 2.98% | ( |
| Stroke | 1.56% | 1.55% | 1.57% | ( |
| CHD | 2.60% | / | / | ( |
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| Stroke | 0.85 | 0.80 | 0.90 | ( |
| HF | 0.83 | 0.77 | 0.89 | ( |
| CHD | 0.95 | 0.91 | 0.99 | ( |
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| Hypertension | 0.96 | 0.91 | 1.00 | ( |
| CHD event | 0.6 | 0.57 | 0.63 | ( |
| Stroke event | 0.55 | 0.53 | 0.58 | ( |
| HF event | 0.63 | 0.60 | 0.66 | ( |
| CHD state | 0.7 | 0.67 | 0.74 | ( |
| Stroke state | 0.65 | 0.62 | 0.68 | ( |
| HF state | 0.73 | 0.69 | 0.77 | ( |
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| Sacubitril-valsartan (400 mg/day) | 324.6 | 162.3 | 649.2 | ( |
| Sacubitril-valsartan (200 mg/day) | 162.3 | 81.15 | 324.6 | ( |
| Sacubitril-valsartan (100 mg/day) | 95.4 | 47.7 | 190.8 | ( |
| Valsartan (320 mg/day) | 240.0 | 120.0 | 480.0 | ( |
| Olmesartan (40 mg/day) | 256.6 | 128.3 | 513.2 | ( |
| Olmesartan (20 mg/day) | 128.3 | 64.2 | 256.6 | ( |
| Olmesartan (10 mg/day) | 64.2 | 32.1 | 128.3 | ( |
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| Stroke | 16,213.6 | 8,106.8 | 32,427.2 | ( |
| HF | 9,789.6 | 4,894.8 | 19,579.1 | ( |
| CHD | 18,183 | 9,091.5 | 36,366.1 | ( |
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| Stroke | 13,265.9 | 6,632.9 | 26,531.7 | ( |
| HF | 15,872.4 | 7,936.2 | 31,744.8 | ( |
| CHD | 17,644 | 8,822 | 35,288 | ( |
HF, heart failure; CHD, coronary heart diseases; HR, hazard ratio; CVD, cardiovascular diseases.
Incidence (event/100 patient*year) was converted to transition probabilities with unit of month when inputting these parameters into Markov model. The formula of transformation is 1-month rate = –[ln(1 – incidence)]/12 and 1-month transition probability = 1–exp (−1-month rate).
Mortality (No. of death/100 patient*year) was converted to transition probabilities with unit of month when inputting these parameters into Markov model. The formula of transformation is 1-month mortality rate = –[ln(1–mortality)]/12 and 1-month transition probability = 1 – exp (−1-month mortality rate).
Mortality during hospitalization was converted to transition probabilities when inputting these parameters into Markov model. The formula of transformation is transition probability = 1 – exp (−1 – Mortality).
Utilities (year) were converted to utilities (month) with Utilities (year)/12 when inputting these parameters into Markov model.
Costs were converted to corresponding costs in 2021 in China using healthcare consumer price index (CPI). The CPI from 2015 to 2021 is 1.027, 1.038, 1.06, 1.043, 1.024, 1.018 and 1.004, separately.
Baseline characteristics of included studies.
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| Williams et al. ( | NCT01692301 | 454 | 67.7 | 52.2 | Sac-Val, 400 | Olme, 40 | White | 158.6/87.8 | 52 |
| Wang et al. ( | NCT01681576 | 72 | 57.3 | 64 | Sac-Val, 400 | Val, 320 | Asian | 147.3/90.3 | 4 |
| Supasyndh et al. ( | NCT01615198 | 588 | 70.7 | 50 | Sac-Val, 200 | Olme, 20 | Asian | 160.3/84.9 | 10 |
| Schmieder et al. ( | NCT01870739 | 114 | 59.8 | 67.5 | Sac-Val, 400 | Olme, 40 | White | 155.2/92.2 | 52 |
| Ruilope et al. ( | / | 471 | 54.8 | 100 | Sac-Val, 400 | Val, 320/Placebo | White | 158.5/97.0 | 8 |
| Ruilope et al. ( | / | 376 | 58.1 | 0 | Sac-Val, 400 | Val, 320/Placebo | White | 157.1/95.1 | 8 |
| Rakugi et al. ( | NCT01599104 | 1161 | 58.7 | 70.5 | Sac-Val, 400/200 | Olme, 20 | Asian | 157.9/94.3 | 8 |
| Kario et al. ( | NCT01193101 | 389 | 51.6 | 70.7 | Sac-Val, 400/200/100 | Placebo | Asian | 155.0/99.9 | 8 |
| Izzo et al. ( | NCT01281306 | 343 | 61.5 | 53.4 | Sac-Val, 400 | Val, 320/Placebo | White | 159.7/90.6 | 8 |
| Huo et al. ( | NCT01785472 | 1438 | 57.7 | 52.6 | Sac-Val, 400/200 | Olme, 20 | Asian | 158.0/90.4 | 8 |
| Cheung et al. ( | NCT01876368 | 375 | 57.6 | 51.2 | Sac-Val, 200 | Olme, 20 | White | 157.5/90.8 | 8 |
Reduction in blood pressure of sacubitril-valsartan compared with other agents.
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| Sac-Val, 400 | Val, 320 | −5.97 | −6.38, −5.56 | <0.01 |
| Sac-Val, 400 | Olme, 40 | −6.19 | −12.38, −0.01 | 0.05 |
| Sac-Val, 400 | Olme, 20 | −5.25 | −8.64, −1.86 | <0.01 |
| Sac-Val, 400 | Placebo | −13.99 | −15.74, −12.24 | <0.01 |
| Sac-Val, 200 | Olme, 20 | −4.53 | −6.54, −2.52 | <0.01 |
| Sac-Val, 200 | Placebo | −12.57 | −12.94, −12.20 | <0.01 |
| Sac-Val, 100 | Placebo | −11.86 | −12.22, −11.50 | <0.01 |
Sac- Val, sacubitril-valsartan; Val, valsartan; Olme, olmesartan.
Base case analysis and scenario analysis.
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| Val, 320 | 54,769 | 11.82 | 12.63 | |||||
| Sac, 400 | 65,066 | 10,297 | 11.91 | 0.09 | 12.7 | 0.07 | 156,820 | 108,622 |
| Olme, 40 | 57,058 | 11.82 | 12.63 | |||||
| Sac, 400 | 65,220 | 7,961 | 11.92 | 0.1 | 12.7 | 0.07 | 117,189 | 81,180 |
| Olme, 20 | 39,393 | 11.82 | 12.63 | |||||
| Sac, 400 | 65,220 | 25,827 | 11.9 | 0.08 | 12.69 | 0.06 | 444,134 | 307,528 |
| Placebo | 54,769 | 11.82 | 12.63 | |||||
| Sac, 400 | 17,340 | −37,428 | 12.02 | 0.2 | 12.77 | 0.14 | −267,216 | −185,780 |
| Olme, 20 | 39,393 | 11.82 | 12.63 | |||||
| Sac, 200 | 42,754 | 3,362 | 11.89 | 0.07 | 12.68 | 0.05 | 66,522 | 46,046 |
| Placebo | 21,727 | 11.82 | 12.63 | |||||
| Sac, 200 | 40,710 | 18,982 | 12.01 | 0.19 | 12.76 | 0.13 | 146,246 | 101,620 |
| Placebo | 21,727 | 11.82 | 12.63 | |||||
| Sac, 100 | 31,389 | 9,662 | 12 | 0.18 | 12.76 | 0.12 | 78,368 | 54,435 |
| Val, 320 | 63,101 | 13.58 | 14.52 | |||||
| Sac, 400 | 75,134 | 12,033 | 13.73 | 0.15 | 14.64 | 0.12 | 99,771 | 79,334 |
| Val, 320 | 42,520 | 9.24 | 9.87 | |||||
| Sac, 400 | 50,441 | 7,920 | 9.28 | 0.04 | 9.89 | 0.02 | 461,281 | 191,955 |
Sac-Val, sacubitril-valsartan; Val, valsartan; Olme, olmesartan.
Figure 3Tornado diagram based on the one-way sensitivity analysis. Costs of sacubitril-valsartan and costs of valsartan impact the largest on the ICUR fluctuation; other input parameters impact little on ICUR.
Figure 4Scatter plot based on probabilistic sensitive analysis. The probability that sacubitril-valsartan is cost-effective or superior to enalapril is over 95%.
Figure 5Cost-effectiveness acceptability curve of sacubitril-valsartan vs. valsartan in treating hypertension in China setting. When the WTP is 108,200 CNY/QALY (1.34 times of per capita GDP in China in 2021), sacubitril-valsartan and valsartan share a similar acceptability.