| Literature DB >> 34435439 |
Jing He1, Huan He1, Xing Li1, Mei Sun1, Zhihao Lai1, Bo Xu1.
Abstract
Residual shallow neuromuscular block (NMB) is potentially harmful and contributes to critical respiratory events. Evidence for the optimal dose of sugammadex required to reverse vecuronium-induced shallow NMB is scarce. The aims of the present study were to find suitable doses of sugammadex and neostigmine to reverse a residual vecuronium-induced NMB from a time of flight (TOF) ratio of 0.3-0.9 and evaluate their safety and efficacy. In total, 121 patients aged 18-65 years were randomly assigned to 11 groups to receive placebo, sugammadex (doses of 0.125, 0.25, 0.5, 1.0, or 2.0 mg/kg), or neostigmine (doses of 10, 25, 40, 55, or 70 μg/kg). The reversal time of sugammadex and neostigmine to antagonize a vecuronium-induced shallow residual NMB (i.e., TOF ratio of 0.3) and related adverse reactions were recorded. Several statistical models were tested to find an appropriate statistical model to explore the suitable doses of sugammadex and neostigmine required to reverse a residual vecuronium-induced NMB. Based on a monoexponential model with the response variable on a logarithmic scale, sugammadex 0.56 mg/kg may be sufficient to reverse vecuronium-induced shallow residual NMB at a TOF ratio of 0.3 under anesthesia maintained with propofol. Neostigmine may not provide prompt and satisfactory antagonism as sugammadex, even in shallow NMB.Entities:
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Year: 2021 PMID: 34435439 PMCID: PMC8742655 DOI: 10.1111/cts.13143
Source DB: PubMed Journal: Clin Transl Sci ISSN: 1752-8054 Impact factor: 4.689
Dose estimations for neostigmine and sugammadex using several mathematical models
| Reversal agent | Δ | Model |
| AIC |
|---|---|---|---|---|
| Neostigmine | Linear | 1‐exp | 0.75 | 394.2 |
| 2‐exp | 0.741 | 397.2 | ||
| FP1 | 0.492 | 244.0 | ||
| FP2 | 0.47 | 248.0 | ||
| ln | 1‐exp | 0.832 | 165.9 | |
| 2‐exp | 0.826 | 169.8 | ||
| FP1 | 0.51 | 133.1 | ||
| FP2 | 0.487 | 137.1 | ||
| Sugammadex | Linear | 1‐exp | 0.757 | 390.7 |
| 2‐exp | 0.749 | 387.1 | ||
| FP1 | 0.575 | 236.3 | ||
| FP2 | 0.496 | 238.6 | ||
| ln | 1‐exp | 0.863 | 161.1 | |
| 2‐exp | 0.878 | 163.3 | ||
| FP1 | 0.706 | 126.8 | ||
| FP2 | 0.701 | 130.6 |
Abbreviations: 1‐exp, mono‐exponential; 2‐exp, bi‐exponential; AIC, Akaike information criterion; FP1, fractional polynomial 1 degree; FP2, fractional polynomial 2 degrees.
Parameter estimations and p values for neostigmine and sugammadex using several mathematical models
| Model | Parameter | Estimate |
| ||||
|---|---|---|---|---|---|---|---|
| SUG | 95% CI | NEO | 95% CI | SUG | NEO | ||
| linear_1‐exp | a1 | 2.6864 | (2.0980, 3.2748) | 4.0578 | (3.3786, 4.7371) | <0.0001 | <0.0001 |
| a2 | 49.2785 | (44.7417, 53.8152) | 48.1231 | (43.5350, 52.7113) | <0.0001 | <0.0001 | |
| a3 | 11.9088 | (10.2362, 13.5814) | 0.1705 | (0.1412, 0.1998) | <0.0001 | <0.0001 | |
| linear_2‐exp | a1 | 0.4804 | (−9.8905, 10.8513) | 3.7844 | (2.8057, 4.7631) | 0.9266 | <0.0001 |
| a2 | 47.6764 | (41.8748, 53.4780) | 21.7747 | (−18.2192, 61.7687) | <0.0001 | 0.2807 | |
| a3 | 13.6207 | (10.3102, 16.9311) | 0.5482 | (−4.2405, 5.3369) | <0.0001 | 0.8197 | |
| a4 | 4.1748 | (−3.1298, 11.4793) | 26.7401 | (−12.4231, 65.9033) | 0.2578 | 0.1772 | |
| a5 | 0.6057 | (−2.6242, 3.8356) | 0.1123 | (0.0040, 0.2206) | 0.7092 | 0.0424 | |
| linear_FP1 | a1 | 1.7573 | (0.6152, 2.8994) | 3.1706 | (1.0837, 5.1087) | 0.0032 | 0.0032 |
| a2 | 0.6502 | (−0.2552, 1.5555) | 336.74 | (−508.77, 1108.77) | 0.1557 | 0.4600 | |
| p | −1.3655 | (−2.0327, −0.6983) | −1.5573 | (−2.7293, −0.2811) | 0.0001 | 0.0169 | |
| linear_FP2 | a1 | −34.262 | (−959.86, 891.33) | 3.1609 | (1.1366, 5.1851) | 0.9411 | 0.0028 |
| a2 | 36.9482 | (−888.82, 962.72) | 328.47 | (−558.86, 1215.81) | 0.9365 | 0.4573 | |
| a3 | −0.0204 | (−0.1924, 0.1516) | 137.13 | (−8557.69, 8831.96) | 0.8131 | 0.9741 | |
| p1 | −0.0373 | (−0.9760, 0.9013) | −1.5479 | (−2.8282, −0.2676) | 0.9367 | 0.0184 | |
| p2 | −2.4866 | (−6.3469, 1.3737) | −3.9516 | (−6.5031, −1.4001) | 0.2021 | 0.0038 | |
| ln_1‐exp | a1 | 0.6865 | (0.2047, 1.1682) | 1.2082 | (0.6734, 1.7430) | 0.0059 | <0.0001 |
| a2 | 2.9800 | (1.8559, 4.1041) | 2.6480 | (1.4150, 3.8811) | <0.0001 | <0.0001 | |
| a3 | 3.755 | (0.09063, 7.4194) | 0.07585 | (−0.00834, 0.1600) | 0.0448 | 0.0766 | |
| ln_2‐exp | a1 | −32.7626 | (−813.29, 747.76) | 1.1755 | (0.3861, 1.9648) | 0.9334 | 0.0042 |
| a2 | 34.1812 | (−746.26, 814.62) | 2.3466 | (−1.7140, 6.4072) | 0.9306 | 0.2524 | |
| a3 | 0.0136 | (−0.3025, 0.3297) | 0.06473 | (−0.1052, 0.2346) | 0.9318 | 0.4492 | |
| a4 | 2.4668 | (1.0059, 3.9278) | 0.3521 | (−4.3588, 5.0630) | 0.0013 | 0.8817 | |
| a5 | 7.2612 | (−1.4492, 15.9716) | 2.6149 | (n.e.) | 0.1007 | <0.0001 | |
| ln_FP1 | a1 | −1.5759 | (−17.2229, 14.0710) | 0.8063 | (−2.9236, 4.5362) | 0.8407 | 0.6662 |
| a2 | 2.4533 | (−13.4013, 18.3078) | 9.1027 | (−45.8518, 64.0571) | 0.7576 | 0.7409 | |
| p | −0.2228 | (−1.4706, 1.0249) | −0.7519 | (−4.2329, 2.7290) | 0.7217 | 0.6665 | |
| ln_FP2 | a1 | 0.6526 | (−7.1086, 8.4138) | 0.9087 | (−1.5708, 3.3883) | 0.8668 | 0.4654 |
| a2 | 0.3093 | (−7.5374, 8.1560) | 32.6655 | (n.e.) | 0.9373 | <0.0001 | |
| a3 | −0.2045 | (−6.1901, 5.7812) | 10.2062 | (−50.2782, 70.6906) | 0.9457 | 0.7363 | |
| p1 | −0.8208 | (−10.0012, 8.3596) | −488.64 | (n.e.) | 0.8584 | <0.0001 | |
| p2 | 1.2078 | (−32.1552, 34.5709) | −1.1924 | (−4.3219, 1.9371) | 0.9424 | 0.448 | |
Abbreviations: CI, confidence interval; SUG, sugammadex; NEO, neostigmine.
The p value of all the parameters of the model is less than 0.05, the model is meaningful.
Baseline characteristics and treatment of patients
| SUGa | NEOa | Placeboa |
| |
|---|---|---|---|---|
| Sex (M/F) | 29/25 | 29/23 | 6/4 | 0.93 |
| Age (years) | 37.5 (26.8–49.3) | 39.5 (30.5–50.0) | 48.5 (27.5–58.3) | 0.55 |
| BMI (kg/m2) | 21.6 (20.5–23.5) | 22.9 (20.6–24.3) | 23.1 (19.9–23.9) | 0.17 |
| ASA class (I/II/III) | 27/19/8 | 29/18/5 | 7/2/1 | 0.76 |
| Total vecuronium dose, mg/kg | 0.14 (0.12–0.17) | 0.13 (0.10–0.17) | 0.13 (0.12–0.14) | 0.17 |
| Duration of surgery, min | 97.5 (62.8–153.3) | 85.5 (73.0–110.8) | 102.0 (53.5–178.0) | 0.74 |
| Time from first vecuronium dose to TOF count 0, min | 3.0 (2.85–3.50) | 3.0 (2.83–3.13) | 3.0 (2.58–3.05) | 0.42 |
Abbreviations: ASA, American Society of Anesthesiologists; BMI, body mass index; TOF, train‐of‐four; SUG, sugammadex; NEO, neostigmine.
Medians (interquartile ranges) are shown when data did not meet the assumptions of parametric statistical tests.
Data are from χ2 tests.
Data are from Kruskal–Wallis analysis of variance (ANOVA).
Time from administration of various doses of drugs at a TOF ratio of 0.3 to attaining a TOF ratio of 0.9
| Treatment group | Time intervals of recovery, mina | |
|---|---|---|
| Median (range) | 95% CI | |
| Placebo | 44.0 (28.0–103) | 34.9–69.6 |
| Sugammadex, 0.125 mg/kg | 13.9 (3.7–25.0) | 8.1–17.0 |
| Sugammadex, 0.25 mg/kg | 5.3 (2.7–8.0) | 3.3–6.9 |
| Sugammadex, 0.5 mg/kg | 3.3 (2.7–7.7) | 3.1–6.7 |
| Sugammadex, 1.0 mg/kg | 2.7 (1.7–4.0) | 2.7–4.7 |
| Sugammadex, 2.0 mg/kg | 1.7 (1.0–2.7) | 2.4–4.5 |
| Neostigmine, 10 μg/kg | 10.8 (5.7–25.0) | 8.1–17.0 |
| Neostigmine, 25 μg/kg | 4.7 (3.3–13.0) | 3.3–6.9 |
| Neostigmine, 40 μg/kg | 4.2 (2.1–11.1) | 3.1–6.7 |
| Neostigmine, 55 μg/kg | 3.4 (1.5–6.5) | 2.7–4.7 |
| Neostigmine, 70 μg/kg | 2.8 (2.0–6.0) | 2.4–4.5 |
Abbreviations: CI, confidence interval; TOF, time of flight.
Times are given in minutes. Medians (ranges) are shown when data did not meet the assumptions of parametric statistical tests. The 95% tolerance indicates the time interval during which recovery of 95% of patients can be expected after reversal with the respective dose of drugs.
FIGURE 1Sugammadex and neostigmine dose estimation with a monoexponential model. Recovery time on a linear scale (a and c) or a logarithmic scale (b and d). The points of intersection indicate the dose necessary to reverse a time of flight (TOF) ratio of 0.3–0.9 within 5 min (the lower horizontal line, ln5 = 1.6) and 10 min (the upper horizontal line, ln10 = 2.3) in 95% of patients (red arrow) or in 50% of patients (blue arrow) in both groups. The disadvantage of the linear scale models is evident; the upper 95% curve is too flat to allow an estimation. The prediction formulas are (sugammadex) and (neostigmine)