Various prediction models have been formulated to predict the need for mechanical ventilation (MV). In this study, we compare the sensitivity and specificity of Erasmus GBS Respiratory Insufficiency Score (EGRIS) and Sharshar score with single breath count (SBC) at 2 Hz to assess their usefulness in predicting MV and functional outcome. The primary outcome was prediction of MV and relative usefulness of all three models based on sensitivity and specificity. The secondary outcome was functional recovery at 6 months using the cut off points for MV and functional outcome at 6months was assessed using Hughes scale and categorized as good (<2) and poor (≥2). The median age was 30 years, and 64 (69.6%) were males. The sensitivity and specificity of EGRIS score was 78.1% and 67.2%, Sharshar score was 75.0% and 64.1%, and SBC at 2 Hz was 78.1% and 75.0%. The area under the receiver operating curves was maximum for SBC at 2 Hz (0.86) compared to other models, although insignificant. EGRIS score < 5 had better functional recovery compared to those with score ≥ 5 (66% vs 34%, p = 0.001). Similarly, in Sharshar score, 23/59 (39%) with score ≥ 4 had good recovery compared to 36 (61%) with score < 4 (p = 0.01). All the three models have comparable predictive values for MV. Outcome prediction is the best with EGRIS.

已经制定了各种预测模型来预测机械通气 (MV) 的需求。在本研究中，我们比较了 Erasmus GBS 呼吸功能不全评分 (EGRIS) 和 Sharshar 评分与 2 Hz 单次呼吸计数 (SBC) 的敏感性和特异性，以评估它们在预测 MV 和功能结果方面的有用性。主要结果是基于敏感性和特异性的所有三个模型的 MV 和相对有用性的预测。次要结果是使用 MV 截止点的 6 个月功能恢复，使用休斯量表评估 6 个月时的功能结果，并分为好 (<2) 和差 (≥2)。中位年龄为 30 岁，64 人（69.6%）为男性。EGRIS评分的敏感性和特异性分别为78.1%和67.2%，Sharshar评分为75.0%和64.1%，SBC at 2 Hz为78.1%和75。0%。与其他模型相比，接收器操作曲线下的面积在 2 Hz (0.86) 时 SBC 最大，尽管无关紧要。EGRIS 评分 < 5 与评分 ≥ 5 的患者相比具有更好的功能恢复（66% 对 34%，p = 0.001）。同样，在 Sharshar 评分中，评分 ≥ 4 的 23/59 (39%) 与评分 < 4 的 36 (61%) 相比恢复良好 (p = 0.01)。所有三个模型都具有可比的 MV 预测值。EGRIS 的结果预测是最好的。所有三个模型都具有可比的 MV 预测值。EGRIS 的结果预测是最好的。所有三个模型都具有可比的 MV 预测值。EGRIS 的结果预测是最好的。