| Literature DB >> 31918662 |
Yanhua Zhen1, Zhihui Chang1, Zhaoyu Liu1, Jiahe Zheng2.
Abstract
BACKGROUND: Inflammatory reaction is an essential factor in the occurrence, development and prognosis of femoropopliteal disease (FPD). The ratio of platelets to lymphocytes (PLR) is a new indicator reflecting platelet aggregation and burden of systemic inflammation. Our study is to explore the association between preoperative platelet-to-lymphocyte ratio (pre-PLR) and 6-month primary patency (PP) after drug-coated balloon (DCB) in FPD.Entities:
Keywords: Drug-coated balloon; Femoropopliteal disease; Lymphocyte; Platelet; Primary patency
Year: 2020 PMID: 31918662 PMCID: PMC6950933 DOI: 10.1186/s12872-019-01314-1
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.298
Comparison of demographic and clinical characteristics of the 70 patients grouped by 6-month primary patency
| Group Aa ( | Group Bb ( | p | |
|---|---|---|---|
| Man, n (%) | 39(72.2) | 15(93.8) | 0.074 |
| Age, mean (SD) | 65.52(10.55) | 68.38(8.46) | 0.325 |
| Hypertension, n (%) | 37(68.5) | 12(75.0) | 0.622 |
| Smoke, n (%) | 42(77.8) | 10(62.5) | 0.223 |
| Diabetes, n (%) | 29(53.7) | 12(75.0) | 0.132 |
| Hyperlipemia, n (%) | 13(24.1) | 5(31.3) | 0.567 |
| Cardiovascular disease, n (%) | 21(38.9) | 10(62.5) | 0.097 |
| Severe calcium, n (%) | 5(9.3) | 1(6.3) | 1.000 |
| CLI, n (%) | 20(37.0) | 10(62.5) | 0.073 |
| Total occlusion, n (%) | 38(70.4) | 11(68.8) | 0.902 |
| Outflow, n (%) | |||
| 1 | 10(18.5) | 7(43.8) | |
| 2 | 14(25.9) | 3(18.8) | 0.087 |
| 3 | 30(55.6) | 6(37.5) | |
| Bail-out stent, n (%) | 6(11.1) | 2(12.5) | 0.879 |
| Lesion length > 10 cm, n (%) | 20(37.0) | 12(75.0) | 0.008 |
| WBC, median (IQR) | 6.86(5.86–9.18) | 6.62(5.01–9.34) | 0.727 |
| Platelets, mean (SD) | 203.39(65.56) | 249.13(75.45) | 0.021 |
| MPV, median (IQR) | 9.00(8.37–9.80) | 8.45(8.00–8.90) | 0.070 |
| Neutrophils, median (IQR) | 4.35(3.6–6.0) | 3.65(2.85–6.82) | 0.511 |
| Lymphocytes, median (IQR) | 1.95(1.57–2.60) | 1.50(1.20–1.78) | 0.001 |
| Pre-NLR, median (IQR) | 2.14(1.70–2.78) | 3.29(1.85–4.32) | 0.055 |
| Pre-PLR, median (IQR) | 94.11(67.99–125.48) | 187.29(131.67–212.86) | <0.001 |
Abbreviations: SD Standard deviation, IQR Interquartile range, CLI Critical limb ischemia, WBC White blood cell, MPV Mean platelet volume, pre-NLR Preoperative neutrophil-to-lymphocyte ratio, pre-PLR Preoperative platelet-to-lymphocyte ratio
aPrimary patency≥6 months; bPrimary patency<6 months
Logistic regression analysis for predicting 6-month primary patency
| Univariate analysis | Multivariate analysis | |||||
|---|---|---|---|---|---|---|
| OR | CI | p | OR | CI | P | |
| Man | 5.769 | 0.669,47.587 | 0.104 | |||
| Age | 1.029 | 0.972,1.089 | 0.321 | |||
| Hypertension | 1.378 | 0.387,4.903 | 0.620 | |||
| Smoke | 0.476 | 0.144,1.578 | 0.225 | |||
| Diabetes | 2.586 | 0.740,9.042 | 0.137 | |||
| Hyperlipemia | 1.434 | 0.420,4.892 | 0.565 | |||
| Cardiovascular disease | 2.619 | 0.829,8.276 | 0.101 | |||
| CLI | 2.833 | 0.894,8.975 | 0.077 | 1.992 | 0.446,8.286 | 0.381 |
| Severe calcium | 0.653 | 0.071,6.037 | 0.708 | |||
| Total occlusion | 0.926 | 0.277,3.099 | 0.901 | |||
| Outflow (1) | 3.500 | 0.95,12.898 | 0.060 | 2.360 | 0.494,11.282 | 0.282 |
| Outflow (2) | 1.071 | 0.233,4.919 | 0.929 | 0.631 | 0.096,4.159 | 0.632 |
| Lesion length > 10 cm | 5.100 | 1.448,17.965 | 0.011 | 4.305 | 1.061,17.465 | 0.041 |
| Bailout-stent | 1.143 | 0.207,6.303 | 0.878 | |||
| WBC | 1.042 | 0.831,1.307 | 0.719 | |||
| Pre-NLR | 1.210 | 0.960,1.524 | 0.106 | |||
| MPV | 0.545 | 0.283,1.050 | 0.069 | 0.850 | 0.448,1.612 | 0.618 |
| Pre-PLR | 1.011 | 1.003,1.020 | 0.008 | 1.008 | 1.001,1.016 | 0.031 |
Abbreviations: OR Odds ratio, CI Confidence interval, CLI Critical limb ischemia, WBC White blood cell, MPV Mean platelet volume, pre-NLR Preoperative neutrophil-to-lymphocyte ratio, Pre-PLR Preoperative platelet-to-lymphocyte ratio
Fig. 1Receiver operating characteristic (ROC) curve for 6-month primary patency according to preoperative platelet-to-lymphocyte ratio. The area under the ROC curve was 0.839, and the sensitivity and specificity were 81.3 and 79.6%, respectively