
Chinese General Practice ›› 2024, Vol. 27 ›› Issue (09): 1062-1067.DOI: 10.12114/j.issn.1007-9572.2023.0511
Special Issue: 老年问题最新文章合辑; 老年人群健康最新文章合辑
• Original Research • Previous Articles Next Articles
Received:2023-08-16
Revised:2023-10-14
Published:2024-03-20
Online:2023-12-19
Contact:
HUANG Yi
通讯作者:
黄毅
作者简介:基金资助:
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URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2023.0511
| 项目 | 诊断标准 | 积分(分) |
|---|---|---|
| 4PEPS | 年龄 | |
| <50岁 | -2 | |
| 50~64岁 | -1 | |
| ≥65岁 | 0 | |
| 慢性呼吸道疾病 | -1 | |
| 心率<80次/min | -1 | |
| 胸痛和急性呼吸困难 | 1 | |
| 男性 | 2 | |
| 激素治疗 | 2 | |
| 静脉血栓栓塞史 | 2 | |
| 晕厥 | 2 | |
| 4周内制动史 | 2 | |
| 血氧饱和度<95% | 3 | |
| 小腿疼痛和/或单侧下肢水肿 | 3 | |
| PE为最可能的诊断 | 5 | |
| 临床概率 | 非常低的临床预测概率:可直接排除PE | <0 |
| 低临床预测概率:如果D-二聚体<1 000 ng/mL,则可以排除PE | 0~5 | |
| 中度临床预测概率:如果患者<50岁且D-二聚体<500 ng/mL或患者年龄≥50岁且D-二聚体<年龄×10 ng/mL,则可以排除PE | 6~12 | |
| 高临床预测概率:没有影像学检查不能排除PE | ≥13 |
Table 1 4PEPS standard
| 项目 | 诊断标准 | 积分(分) |
|---|---|---|
| 4PEPS | 年龄 | |
| <50岁 | -2 | |
| 50~64岁 | -1 | |
| ≥65岁 | 0 | |
| 慢性呼吸道疾病 | -1 | |
| 心率<80次/min | -1 | |
| 胸痛和急性呼吸困难 | 1 | |
| 男性 | 2 | |
| 激素治疗 | 2 | |
| 静脉血栓栓塞史 | 2 | |
| 晕厥 | 2 | |
| 4周内制动史 | 2 | |
| 血氧饱和度<95% | 3 | |
| 小腿疼痛和/或单侧下肢水肿 | 3 | |
| PE为最可能的诊断 | 5 | |
| 临床概率 | 非常低的临床预测概率:可直接排除PE | <0 |
| 低临床预测概率:如果D-二聚体<1 000 ng/mL,则可以排除PE | 0~5 | |
| 中度临床预测概率:如果患者<50岁且D-二聚体<500 ng/mL或患者年龄≥50岁且D-二聚体<年龄×10 ng/mL,则可以排除PE | 6~12 | |
| 高临床预测概率:没有影像学检查不能排除PE | ≥13 |
| 项目 | 评分标准 | 得分(分) |
|---|---|---|
| Wells评分法 | 既往DVT或PE病史 | 1.5 |
| 4周内手术或制动史 | 1.5 | |
| 肿瘤 | 1 | |
| 咯血 | 1 | |
| 心率>100次/min | 1.5 | |
| 深静脉血栓的临床征象 | 3 | |
| 其他临床诊断的倾向性<PE | 3 | |
| 临床可能性 | 三分法 | |
| 低度风险 | <2 | |
| 中度风险 | 2~6 | |
| 高度风险 | >6 | |
| 二分法 | ||
| PE不可能 | ≤4 | |
| PE可能 | >4 |
Table 2 Wells score
| 项目 | 评分标准 | 得分(分) |
|---|---|---|
| Wells评分法 | 既往DVT或PE病史 | 1.5 |
| 4周内手术或制动史 | 1.5 | |
| 肿瘤 | 1 | |
| 咯血 | 1 | |
| 心率>100次/min | 1.5 | |
| 深静脉血栓的临床征象 | 3 | |
| 其他临床诊断的倾向性<PE | 3 | |
| 临床可能性 | 三分法 | |
| 低度风险 | <2 | |
| 中度风险 | 2~6 | |
| 高度风险 | >6 | |
| 二分法 | ||
| PE不可能 | ≤4 | |
| PE可能 | >4 |
| 组别 | 例数 | 性别[例(%)] | 年龄[M(P25,P75),岁] | |
|---|---|---|---|---|
| 男 | 女 | |||
| APE组 | 323 | 158(48.9) | 165(51.1) | 73(68,80) |
| 非APE组 | 870 | 450(51.7) | 420(48.3) | 75(68,81) |
| χ2(Z)值 | 0.743 | -1.172a | ||
| P值 | 0.389 | 0.241 | ||
Table 3 Comparison of general data of the APE and non-APE groups
| 组别 | 例数 | 性别[例(%)] | 年龄[M(P25,P75),岁] | |
|---|---|---|---|---|
| 男 | 女 | |||
| APE组 | 323 | 158(48.9) | 165(51.1) | 73(68,80) |
| 非APE组 | 870 | 450(51.7) | 420(48.3) | 75(68,81) |
| χ2(Z)值 | 0.743 | -1.172a | ||
| P值 | 0.389 | 0.241 | ||
| 组别 | 例数 | 4PEPS | AADD算法 | Standard算法 | YEARS算法 | PEGeD算法 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | ||
| APE组 | 323 | 307 | 16 | 323 | 316 | 7 | 323 | 319 | 4 | 323 | 314 | 9 | 323 | 316 | 7 | 323 |
| 非APE组 | 870 | 593 | 277 | 870 | 712 | 158 | 870 | 758 | 112 | 870 | 675 | 195 | 870 | 675 | 195 | 870 |
| 合计 | 900 | 293 | 1 193 | 1 028 | 165 | 1 193 | 1 077 | 116 | 1 193 | 989 | 204 | 1 193 | 991 | 202 | 1 193 | |
Table 4 Prediction results of five prediction methods for APE in the elderly
| 组别 | 例数 | 4PEPS | AADD算法 | Standard算法 | YEARS算法 | PEGeD算法 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | 阳性 | 阴性 | 合计 | ||
| APE组 | 323 | 307 | 16 | 323 | 316 | 7 | 323 | 319 | 4 | 323 | 314 | 9 | 323 | 316 | 7 | 323 |
| 非APE组 | 870 | 593 | 277 | 870 | 712 | 158 | 870 | 758 | 112 | 870 | 675 | 195 | 870 | 675 | 195 | 870 |
| 合计 | 900 | 293 | 1 193 | 1 028 | 165 | 1 193 | 1 077 | 116 | 1 193 | 989 | 204 | 1 193 | 991 | 202 | 1 193 | |
| 算法 | 灵敏度(%) | 特异度(%) | 误诊率(%) | 漏诊率(%) | 阳性预测值(%) | 阴性预测值(%) | 阳性似然比 | 阴性似然比 | 正确率(%) | 比数积 | Youden指数 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 4PEPS | 95.05 | 31.84 | 68.16 | 4.95 | 34.11 | 94.54 | 1.39 | 0.16 | 48.95 | 8.96 | 0.27 |
| AADD算法 | 97.83 | 18.16 | 81.84 | 2.17 | 30.74 | 95.76 | 1.20 | 0.12 | 39.73 | 10.02 | 0.16 |
| Standard算法 | 98.76 | 12.87 | 87.13 | 1.24 | 29.62 | 96.55 | 1.13 | 0.10 | 36.13 | 11.78 | 0.12 |
| YEARS算法 | 97.21 | 22.41 | 77.59 | 2.79 | 31.75 | 95.59 | 1.25 | 0.12 | 42.67 | 10.08 | 0.20 |
| PEGeD算法 | 97.83 | 22.41 | 77.59 | 2.17 | 31.89 | 96.53 | 1.26 | 0.10 | 42.83 | 13.04 | 0.20 |
Table 5 Predictive efficacy of the five prediction methods for APE in the elderly
| 算法 | 灵敏度(%) | 特异度(%) | 误诊率(%) | 漏诊率(%) | 阳性预测值(%) | 阴性预测值(%) | 阳性似然比 | 阴性似然比 | 正确率(%) | 比数积 | Youden指数 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 4PEPS | 95.05 | 31.84 | 68.16 | 4.95 | 34.11 | 94.54 | 1.39 | 0.16 | 48.95 | 8.96 | 0.27 |
| AADD算法 | 97.83 | 18.16 | 81.84 | 2.17 | 30.74 | 95.76 | 1.20 | 0.12 | 39.73 | 10.02 | 0.16 |
| Standard算法 | 98.76 | 12.87 | 87.13 | 1.24 | 29.62 | 96.55 | 1.13 | 0.10 | 36.13 | 11.78 | 0.12 |
| YEARS算法 | 97.21 | 22.41 | 77.59 | 2.79 | 31.75 | 95.59 | 1.25 | 0.12 | 42.67 | 10.08 | 0.20 |
| PEGeD算法 | 97.83 | 22.41 | 77.59 | 2.17 | 31.89 | 96.53 | 1.26 | 0.10 | 42.83 | 13.04 | 0.20 |
| 项目 | NRI | Z值 | P值 |
|---|---|---|---|
| AADD算法 | 1 | ||
| 4PEPS | 0.218 | 2.364a | 0.018 |
| Standard算法 | -0.087 | -0.946a | 0.346 |
| YEARS算法 | 0.073 | 0.789a | 0.434 |
| PEGeD算法 | 0.085 | 0.923a | 0.356 |
Table 6 Comparison of the predictive value of five prediction methods for APE in the elderly
| 项目 | NRI | Z值 | P值 |
|---|---|---|---|
| AADD算法 | 1 | ||
| 4PEPS | 0.218 | 2.364a | 0.018 |
| Standard算法 | -0.087 | -0.946a | 0.346 |
| YEARS算法 | 0.073 | 0.789a | 0.434 |
| PEGeD算法 | 0.085 | 0.923a | 0.356 |
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
中华医学会呼吸病学分会肺栓塞与肺血管病学组,中国医师协会呼吸医师分会肺栓塞与肺血管病工作委员会,全国肺栓塞与肺血管病防治协作组. 肺血栓栓塞症诊治与预防指南[J]. 中华医学杂志,2018,98(14):1060-1087. DOI:10.3760/cma.j.issn.0376-2491.2018.14.007.
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
于莉莉,武颂文,夏结来. 利用净重新分类指数与整体鉴别指数评价一种新危险因素的补充预测能力[J]. 中国卫生统计,2017,34(5):761-763.
|
| [25] |
|
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