Development and validation of LPCPIS: an integrated clinical, biomarker and lung ultrasound score for the diagnosis of ventilator-associated pneumonia.

IF 4 3区 医学 Q1 RESPIRATORY SYSTEM
Ashish Sharma, Mukesh Bairwa, Yudhanshu Angural, Khushboo Heera Lal, Akshita Makkar, Prakhar Sharma, Ravi Kant
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引用次数: 0

Abstract

Objectives: To evaluate whether the performance of the modified Clinical Pulmonary Infection Score (CPIS) for diagnosis of ventilator-associated pneumonia (VAP) could be improved by incorporating procalcitonin (PCT), lactate and a standardised lung ultrasound score (LUS).

Design: Prospective observational study.

Setting: Internal medicine and respiratory intensive care units (ICUs) of a tertiary care centre in India over 18 months.

Participants: 97 adult patients receiving invasive mechanical ventilation for 48 hours or more with suspected VAP.

Primary and secondary outcome measures: The primary outcome was the diagnostic accuracy (area under the receiver operating characteristic curve (AUC)) of the integrated score compared with a reference standard of quantitative bronchoalveolar lavage culture (>104 CFU/mL). Secondary outcomes included ICU length of stay and 14-day mortality.

Results: Of the 97 patients, 70 (72.2%) were culture positive. The modified CPIS alone demonstrated limited diagnostic utility (AUC 0.686). In contrast, the novel 4-point Lactate-Lung Ultrasound-Procalcitonin-Clinical Pulmonary Infection Score (LPCPIS) score (integrating CPIS >5, lactate >2.15 mmol/L, PCT >1.3 ng/mL and LUS >14) achieved excellent discriminatory ability (AUC 0.919, 95% CI 0.844 to 0.976). At a cut-off of ≥2, the score yielded 95.7% sensitivity and 77.8% specificity. Crucially, a 4-point LPCPIS bedside score of ≤1 was associated with a highly diminished probability of VAP, yielding a negative predictive value of 100% in this cohort. In comparison, a score ≥3 strongly indicated a high likelihood of VAP, with a positive predictive value of 96.5% and specificity of 92.6%, pending definitive microbiological confirmation.

Conclusions: The novel 4-point LPCPIS bedside score demonstrates significant diagnostic superiority over the traditional modified CPIS (AUC 0.919 vs 0.686). By integrating bedside lung ultrasound with biomarkers, this simplified pragmatic tool provides impressive discriminatory power, allowing clinicians in resource-limited settings to reliably assess probability of VAP and guide early antimicrobial decision-making while awaiting definitive microbiological cultures.

LPCPIS的开发和验证:用于诊断呼吸机相关性肺炎的综合临床,生物标志物和肺部超声评分。
目的:评价合并降钙素原(PCT)、乳酸和标准化肺超声评分(LUS)后,改良的临床肺部感染评分(CPIS)对呼吸机相关性肺炎(VAP)的诊断效果是否可以得到改善。设计:前瞻性观察研究。背景:在印度某三级医疗中心内科和呼吸重症监护室(icu)工作18个月以上。参与者:97例疑似VAP且接受有创机械通气48小时或更长时间的成人患者。主要和次要结局指标:主要结局是综合评分的诊断准确性(受试者工作特征曲线下面积(AUC))与定量支气管肺泡灌洗培养参考标准(>104 CFU/mL)的比较。次要结局包括ICU住院时间和14天死亡率。结果:97例患者中培养阳性70例(72.2%)。改良后的CPIS单独显示有限的诊断效用(AUC为0.686)。相比之下,新的4点乳酸-肺超声-降钙素原-临床肺部感染评分(LPCPIS)评分(综合CPIS bbb50、乳酸>2.15 mmol/L、PCT >1.3 ng/mL和LUS >4)具有出色的区分能力(AUC 0.919, 95% CI 0.844 ~ 0.976)。在临界值≥2时,该评分的敏感性为95.7%,特异性为77.8%。至关重要的是,4分的lcpis床边评分≤1与VAP的概率高度降低相关,在该队列中产生100%的负预测值。相比之下,评分≥3强烈表明VAP的可能性很高,阳性预测值为96.5%,特异性为92.6%,有待于明确的微生物学证实。结论:新型4点LPCPIS床边评分比传统改良CPIS具有显著的诊断优势(AUC 0.919 vs 0.686)。通过将床边肺超声与生物标志物相结合,这种简化的实用工具提供了令人印象深刻的区分能力,使资源有限的临床医生能够可靠地评估VAP的可能性,并在等待明确的微生物培养时指导早期的抗菌决策。
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来源期刊
BMJ Open Respiratory Research
BMJ Open Respiratory Research RESPIRATORY SYSTEM-
CiteScore
6.60
自引率
2.40%
发文量
95
审稿时长
12 weeks
期刊介绍: BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.
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