| Literature DB >> 28789662 |
Kun-Kun Li1, Kai Qian1, Yong-Geng Feng1, Wei Guo1, Qun-You Tan2, Bo Deng3.
Abstract
BACKGROUND: Thymectomy is the primary approach for the treatment of myasthenia gravis (MG). This retrospective study aimed to identify the clinical and demographical features that may impact the duration of mechanical ventilation (DMV), the long-term survival, and the quality of life (QOL) in patients with post-thymectomy myasthenic crisis (PTMC).Entities:
Keywords: Crisis·mechanical; Myasthenic; Post-thymectomy; Quality of life; Survival; Ventilation
Mesh:
Year: 2017 PMID: 28789662 PMCID: PMC5549389 DOI: 10.1186/s12957-017-1209-1
Source DB: PubMed Journal: World J Surg Oncol ISSN: 1477-7819 Impact factor: 2.754
Clinical and demographic characteristics of PTMC patients
| Variable | Number (%) or mean (SD) |
|---|---|
| Age (years) | 39.6 (14.8) |
| Gender | |
| Male | 31 (44.3%) |
| Female | 39 (55.7%) |
| BMI | 22.3 (3.6) |
| Symptom duration (months) | 21.1 (38.7) |
| Osserman’s classification | |
| I | 5 (7.1%) |
| IIa | 28 (40.0%) |
| IIb | 30 (42.9%) |
| III | 5 (7.1%) |
| IV | 2 (2.9%) |
| MGFA classification | |
| I | 5 (7.1%) |
| IIa | 13 (18.6%) |
| IIb | 16 (22.9%) |
| IIIa | 9 (12.9%) |
| IIIb | 21 (30.0%) |
| IVa | 1 (1.4%) |
| IVb | 2 (2.9%) |
| V | 3 (4.3%) |
| QMG score | 14.1 (5.7) |
| Preoperative medical therapy | 69 (98.6%) |
| Prednisolone | 25 (21.4%), 8.2 (19.4) |
| Plasma exchange | 4 (5.7%) |
| Steroid pulse | 9 (12.9%) |
| Immunoglobulin | 4 (5.7%) |
| Pyridostigmine bromide | 69 (98.6%) |
| No preoperative medical therapy | 1 (1.4%) |
| Autoimmune diseases | |
| Hyperthyroidism | 5 (7.1%) |
| Hypothyroidism | 3 (4.3%) |
| Gout | 1 (1.4%) |
| Rheumatoid arthritis | 1 (1.4%) |
| Systemic lupus erythematosus | 1 (1.4%) |
| Without autoimmune diseases | 59 (84.3%) |
| Operation approach | |
| VATS | 53 (75.7%) |
| Transsternal | 17 (24.3%) |
| Clavien-Dindo classificationa | |
| 0 | 18 (25.7%) |
| I | 1 (1.4%) |
| II | 41 (58.6%) |
| IIIa | 4 (5.7%) |
| IIIb | 2 (2.9%) |
| IVa | 4 (5.7%) |
| Mechanical ventilation duration (h) | 203.0 (436.3) |
| Duration of hospital stay (days) | 30.3 (28.3) |
a(i) Grade 0: no complications, (ii) grade 1: deviation from normal postoperative course without need for medical intervention, (iii) grade 2: complications requiring pharmacological treatment, (iv) grade 3: complications requiring invasive intervention, (v) grade 4: life-threatening complications requiring intensive care unit management except trachea intubation, and (vi) grade 5: death [11]
Univariate and multivariate analyses of risk factors that may prolong mechanical ventilation
| Variables | Cox model |
| Hazard ratio (95.0% CI for HR) |
|---|---|---|---|
| Alcohol statusb | Univariate analysis | 0.040 | 0.524 (0.283–0.970) |
| Multivariate analysisa | 0.049 | 0.517 (0.267–0.998) | |
| MGFA classification | Univariate analysis | 0.001 | 0.789 (0.685–0.908) |
| Multivariate analysisa | 0.007 | 0.811 (0.697–0.944) | |
| Clavien-Dindo classification | Univariate analysis | 0.003 | 0.748 (0.617–0.907) |
| Multivariate analysisa | 0.013 | 0.783 (0.645–0.950) | |
| Osserman’s classification | Univariate analysis | 0.006 | 0.680 (0.515–0.897) |
| QMG score | Univariate analysis | 0.010 | 0.948 (0.910–0.987) |
| Preoperative crisisb | Univariate analysis | 0.036 | 0.550 (0.314–0.963) |
| Preoperative max pyridostigmine | Univariate analysis | 0.025 | 0.998 (0.996–1.000) |
| Lung function | Univariate analysis | 0.005 | 0.738 (0.597–0.912) |
We defined “status = 1” as tracheal extubation and “time” as the duration of mechanical ventilation in the analysis of Cox proportional hazard regression analyse
aMultivariate Cox analysis by forward step
bAlcohol status is defined as (1) never, (2) occasional, (3) excessive, and (4) dependence. Preoperative crisis is defined as the times of myasthenic crisis before surgery
Postoperative complications of the 63 cases with or without PLI
| Major postoperative complications | Number (%) | Clavien-Dindo classification |
|---|---|---|
| Total | 63 | |
| No postoperative complications | 18 (28.6) | 0 |
| Incision infection | 1 (1.6) | I |
| Postoperative lung infection (PLI) only | 21 (33.3) | II |
| PLI + atrial fibrillation | 3 (4.8) | II |
| PLI + sinus tachycardia | 7 (11.1) | II |
| PLI + bacteremia | 1 (1.6) | II |
| PLI + gastrointestinal bleeding | 1 (1.6) | II |
| PLI + pneumothorax | 3 (4.8) | II + IIIa |
| PLI + pleural effusion | 3 (4.8) | IIIa |
| Hemothorax | 1 (1.6) | IIIb |
| Mediastinal abscess | 1 (1.6) | IIIb |
| PLI + acute cardiac failure | 1 (1.6) | IVa |
| PLI + acute respiratory distress syndrome (ARDS) | 2 (3.2) | IVa |
Fig. 1The correlation between postoperative complications and DMV, analyzed by one-way ANOVA. Sixty patients were divided into four groups based on the severity of postoperative complications as per Clavien-Dindo classification: group 1 (no complication, n = 18), group 2 (PLI only, n = 21), group 3 (PLI with other complications requiring pharmacological treatment, n = 14), and group 4 (PLI with other complications requiring at least invasive intervention, n = 7). As shown in Fig. 1, PLI, as the sole complication, did not prolong DMV compared to those without any complication (p = 0.537) most likely because of the use of effective antibiotics and proper respiratory management. However, PLI with other more severe complications that required at least pharmacological treatment (groups 3 and 4) seemed to remarkably prolong DMV, compared to those without any complication (p = 0.015 and 0.001, respectively). p = 0.997 (XLSTAT, Addinsoft Inc., New York, NY, USA)
Univariate analysis of risk factors that may impact overall survival
| Variables |
| Hazard ratio (95.0% CI for HR) |
|---|---|---|
| Osserman’s classification | 0.017 | 8.723 (1.464–51.955)a |
| MGFA classification | 0.007 | 3.562 (1.418–8.945)b |
| DMV | 0.005 | 1.007 (1.002–1.012)c |
| Clavien-Dindo classification | 0.033 | 1.990 (1.057–3.746)d |
| Drainage | 0.010 | 1.002 (1.001–1.004)e |
We defined “status = 1” as the event of death and “time” as the survival duration
Statistical powers of the Cox model were evaluated by using XLSTAT (Addinsoft Inc., New York, NY, USA) and presented as follows: (a) 1.000, (b) 1.000, (c) 0.473, (d) 0.962, and (e) 0.469
Fig. 2a The score (mean with SD) of each list in MG-QOL15, occupational skills and job status seemed to be most negatively affected by PTMC, compared to other challenges in daily life. b Spearman bivariate correlation analysis between DMV and QOL; DMV was not correlated with QOL (R 2 = 0.021, p = 0.304)