Abstract
BACKGROUND
Gastroesophageal reflux (GER) affects up to 20% of the adult population and is defined as troublesome and frequent symptoms of heartburn or regurgitation. GER produces significantly harmful impacts on quality of life and precipitates poor mental well-being. However, the potential risk factors for the incidence and extent of GER in adults undergoing general anesthesia remain unclear.
AIM
To explore independent risk factors for the incidence and extent of GER during general anesthesia induction.
METHODS
A retrospective study was conducted, and 601 adult patients received general anesthesia intubation or laryngeal mask surgery between July 2016 and January 2019 in Shanghai General Hospital of Nanjing Medical University. This study recruited a total of 601 adult patients undergoing general anesthesia, and the characteristics of patients and the incidence or extent of GER were recorded. The potential risk factors for the incidence of GER were explored using multivariate logistic regression, and the risk factors for the extent of GER were evaluated using multivariate linear regression.
RESULTS
The current study included 601 adult patients, 82 patients with GER and 519 patients without GER. Overall, we noted significant differences between GER and non-GER for pharyngitis, history of GER, other digestive tract diseases, history of asthma, and the use of sufentanil (P < 0.05), while no significant differences between groups were observed for sex, age, type of surgery, operative time, body mass index, intraoperative blood loss, smoking status, alcohol intake, hypertension, diabetes mellitus, psychiatric history, history of respiratory infection, history of surgery, the use of lidocaine, palliative strategies, propofol, or rocuronium bromide, state anxiety inventory, trait anxiety inventory, and self-rating depression scale (P > 0.05). The results of multivariate logistic regression indicated that female sex [odds ratio (OR): 2.702; 95% confidence interval (CI): 1.144-6.378; P = 0.023], increased age (OR: 1.031; 95%CI: 1.008-1.056; P = 0.009), pharyngitis (OR: 31.388; 95%CI: 15.709-62.715; P < 0.001), and history of GER (OR: 11.925; 95%CI: 4.184-33.989; P < 0.001) were associated with an increased risk of GER, whereas the use of propofol could protect against the risk of GER (OR: 0.942; 95%CI: 0.892-0.994; P = 0.031). Finally, age (P = 0.004), operative time (P < 0.001), pharyngitis (P < 0.001), history of GER (P = 0.024), and hypertension (P = 0.017) were significantly associated with GER time.
CONCLUSION
This study identified the risk factors for GER in patients undergoing general anesthesia including female sex, increased age, pharyngitis, and history of GER.
Keywords: Gastroesophageal reflux; Intraoperative period; Risk factors; Anesthesia, General; Surgery; Retrospective studies
Core Tip: The study included 82 patients who reported gastroesophageal reflux (GER) and 519 patients without GER. The results of multivariate logistic regression indicated sex, increased age, pharyngitis, and history of GER were associated with increased risk of GER, whereas the use of propofol could protect against the risk of GER. Finally, age, operative time, pharyngitis, history of GER, and hypertension were significantly associated with GER time.
INTRODUCTION
Gastroesophageal reflux (GER) affects up to 20% of the adult population and is defined as troublesome and frequent symptoms of heartburn or regurgitation[1-3]. GER produces significantly harmful impacts on health-related quality and increases the risk for esophageal adenocarcinoma[4-6]. Currently, the identified risk factors for GER include overweight, tobacco smoking, low socioeconomic status, and heredity[7-9]. Moreover, GER is the most likely complication in perioperative patients, and early detection, diagnosis, and treatment can prevent serious adverse consequences. Acidic gastric juice reflux is associated with chemical damage to the airway mucosa and lung tissue, damages the normal respiratory membrane structure, and causes different degrees of bronchospasm, atelectasis, aspiration pneumonia, and even respiratory failure. Therefore, early identification of potential risk factors for the progression of GER in patients undergoing general anesthesia should be explored to improve the quality of anesthesia.
Several studies have explored the potential risk factors for GER. Taraszewska[10] indicated that intermediate physical activity might be associated with a reduced risk of GER in obese individuals, while this significant association was not observed in non-obese people. Maret-Ouda et al[11] suggested that older age, female sex, and comorbidity were associated with an increased risk of recurrent GER in patients who underwent antireflux surgery. Wang et al[12] recruited 56 patients who underwent peroral endoscopic myotomy and found that full-thickness myotomy and low post-operative 4-s integrated relaxation pressure induced more GER. Lindam et al[13] investigated 25844 participants and found that the relationship between sleep disturbances and GER seems to be bidirectional, and sleep disturbances seem to be a stronger risk factor for GER than the reverse. However, no study has focused on patients undergoing general anesthesia to identify the independent risk factors for the risk of GER and total GER time. Therefore, the current study was conducted to explore the potential risk factors for the progression of GER during general anesthesia induction.
MATERIALS AND METHODS
Patients inclusion and exclusion criteria
A retrospective study was conducted in 601 adult patients who underwent general anesthesia intubation or laryngeal mask surgery between July 2016 and January 2019 at the Shanghai General Hospital of Nanjing Medical University. The exclusion criteria of this study included patients diagnosed with nasal or upper esophageal obstruction, severe and uncontrolled clotting disease, bullae disease of the esophageal mucosa, unstable heart disease, or other poor tolerance to vagal stimulation. The general characteristics of the enrolled patients were collected using a pre-defined questionnaire, and the detailed medical history was collected through an anesthesiologist who made preoperative visits. This study was approved by the ethics committee of Nanjing Medical University. The purpose and procedures of the study were carefully explained, and written informed consent was obtained from all participants.
GER and variables
The definition of GER was based on assessment by Orion II-ohmega portable pH dynamic monitoring recorder (MMS, Enschede, The Netherlands), which was used to monitor the pH of the middle and lower esophagus, to observe whether reflux occurred, and to measure the occurrence frequency and duration[14]. The general characteristics of the patients included sex, age, body mass index, smoking status, and alcohol intake. The detailed medical history included pharyngitis, history of GER, other digestive tract diseases, hypertension, diabetes mellitus, history of asthma, psychiatric history, history of respiratory infection, history of surgery, state anxiety inventory (SAI), trait anxiety inventory (TAI), and self-rating depression scale (SDS). Moreover, the intraoperative parameters included type of surgery, operative time, intraoperative blood loss, and the use of lidocaine, palliative strategies, sufentanil, propofol, and rocuronium bromide.
Statistical analysis
The continuous data of patients’ characteristics are presented as medians and quartiles because these data did not meet the normal distribution. Moreover, the category data are presented as event rates. Comparisons of continuous variables between non-GER and GER patients were calculated using Kruskal-Wallis tests due to the non-normal distributions, while the frequencies of data between groups were calculated using chi-squared tests. Multivariate logistic regression was applied to explore the risk factors for GER incidence after continued adjustment for potential confounders, and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Moreover, the impact factors of GER time were explored using multivariate linear analyses. All reported P values were two-sided, and P < 0.05 was considered statistically significant. The data were analyzed using IBM SPSS Statistics for Windows, version 19.0 (SPSS 19.0, Armonk, NY, United States).
RESULTS
The characteristics of the enrolled patients are presented in Table 1. In total, 601 adult patients were enrolled, 82 patients with GER and 519 patients without GER. Overall, we noted significant differences between GER and non-GER for pharyngitis, history of GER, other digestive tract diseases, history of asthma, and the use of sufentanil (P < 0.05), while no significant differences were observed between groups for sex, age, type of surgery, operative time, body mass index, intraoperative blood loss, smoking status, alcohol intake, hypertension, diabetes mellitus, psychiatric history, history of respiratory infection, history of surgery, the use of lidocaine, palliative strategies, propofol, rocuronium bromide, SAI, TAI, and SDS (P > 0.05).
Table 1.
Baseline characteristics of recruited patients, n (%)
|
Variable
|
Non-GER
|
GER
|
P
value
|
| n | 519 | 82 | |
| Sex | |||
| Male | 260 (50.10) | 32 (39.02) | 0.085 |
| Female | 259 (49.90) | 50 (60.98) | |
| Age (yr) | 49.00 (35.00, 61.00) | 60.00 (42.00, 68.00) | |
| Type of surgery | |||
| Orthopedics | 117 (22.54) | 24 (29.27) | 0.169 |
| Abdominal | 402 (77.46) | 58 (70.73) | |
| Operative time (min) | 85.00 (50.00, 140.00) | 120.00 (75.00, 190.00) | |
| BMI (kg/m2) | 23.63 (20.96, 26.30) | 24.77 (20.28, 26.22) | |
| Intraoperative blood loss (mL) | 200.00 (100.00, 300.00) | 250.00 (50.00, 350.00) | |
| Smoking status | |||
| Never | 446 (85.93) | 64 (78.05) | 0.116 |
| Current or former | 73 (14.07) | 18 (21.95) | |
| Alcohol intake | |||
| Never | 477 (91.91) | 73 (89.02) | 0.436 |
| Yes | 42 (8.09) | 9 (10.98) | |
| Pharyngitis | |||
| Never | 472 (90.94) | 23 (28.05) | < 0.001 |
| Yes | 47 (9.06) | 59 (71.95) | |
| History of GER | |||
| Never | 506 (97.50) | 66 (80.49) | < 0.001 |
| Yes | 13 (2.50) | 16 (19.51) | |
| Other digestive tract diseases | |||
| Never | 497 (95.76) | 71 (86.59) | 0.023 |
| Yes | 22 (4.24) | 11 (13.41) | |
| Hypertension | |||
| Never | 413 (79.58) | 66 (80.49) | 0.846 |
| Yes | 106 (20.42) | 16 (19.51) | |
| Diabetes mellitus | |||
| Never | 457 (88.05) | 70 (85.37) | 0.523 |
| Yes | 62 (11.95) | 12 (14.63) | |
| History of asthma | |||
| Never | 501 (96.53) | 73 (89.02) | 0.041 |
| Yes | 18 (3.47) | 9 (10.98) | |
| Psychiatric history | |||
| Never | 510 (98.27) | 79 (96.34) | 0.375 |
| Yes | 9 (1.73) | 3 (3.66) | |
| History of respiratory infection (within 2 mo) | |||
| Never | 510 (98.27) | 80 (97.56) | 0.696 |
| Yes | 9 (1.73) | 2 (2.44) | |
| History of surgery | |||
| Never | 500 (96.34) | 76 (92.68) | 0.229 |
| Yes | 19 (3.66) | 6 (7.32) | |
| Lidocaine (2% mL) | 3.00 (2.20, 3.50) | 3.00 (2.30, 3.55) | |
| Palliative | |||
| Midazolam | 360 (69.36) | 64 (78.05) | 0.071 |
| Dexmedetomidine | 159 (30.64) | 18 (21.95) | |
| Sufentanil (g) | |||
| 10 | 10 (1.93) | 0 (0.00) | 0.032 |
| 15 | 169 (32.56) | 36 (43.90) | |
| 20 | 340 (65.51) | 46 (56.10) | |
| Propofol (mg) | 100.00 (100.00, 100.00) | 100.00 (90.00, 100.00) | |
| Rocuronium bromide | 50.00 (40.00, 50.00) | 50.00 (40.00, 50.00) | |
| Sufentanil | 10.00 (10.00, 30.00) | 30.00 (10.00, 30.00) | |
| SAI | 46.01 | 46.10 | |
| TAI | 42.90 | 42.90 | |
| SDS | 42.59 | 42.50 |
BMI: Body mass index; GER: Gastroesophageal reflux; SAI: State anxiety inventory; SDS: Self-rating depression scale; TAI: Trait anxiety inventory.
The results of logistic regression with multivariate adjustment for potential confounders indicated that female sex (OR: 2.702; 95%CI: 1.144-6.378; P = 0.023), older age (OR: 1.031; 95%CI: 1.008-1.056; P = 0.009), pharyngitis (OR: 31.388; 95%CI: 15.709-62.715; P < 0.001), and history of GER (OR: 11.925; 95%CI: 4.184-33.989; P < 0.001) were associated with an increased risk of GER, whereas increased propofol use was associated with a reduced risk of GER (OR: 0.942; 95%CI: 0.892-0.994; P = 0.031) (Table 2).
Table 2.
The risk factors for the incidence of gastroesophageal reflux by multivariate logistic regression analysis
|
Variables
|
β
value
|
SD
|
Wald chi-square
|
OR (95%CI)
|
P
value
|
| Intercept 1 | -10.518 | 182.127 | 0.003 | 0.954 | |
| Intercept 2 | -14.558 | 182.128 | 0.006 | 0.936 | |
| Gender (female vs male) | 0.994 | 0.438 | 5.144 | 2.702 (1.144-6.378) | 0.023 |
| Age (yr) (continuous) | 0.031 | 0.012 | 6.824 | 1.031 (1.008-1.056) | 0.009 |
| Type of surgery | -0.018 | 0.382 | 0.002 | 0.982 (0.464-2.077) | 0.963 |
| Operative time (min) (continuous) | 0.003 | 0.004 | 0.904 | 1.003 (0.996-1.010) | 0.342 |
| BMI (kg/m2) (continuous) | -0.049 | 0.069 | 0.516 | 0.952 (0.832-1.089) | 0.472 |
| Intraoperative blood loss (mL) (continuous) | -0.000 | 0.001 | 0.081 | 1.000 (0.998-1.002) | 0.776 |
| Smoking status | 0.802 | 0.474 | 2.859 | 2.230 (0.880-5.650) | 0.091 |
| Alcohol intake | 0.602 | 0.565 | 1.135 | 1.826 (0.603-5.524) | 0.287 |
| Pharyngitis | 3.446 | 0.353 | 95.234 | 31.388 (15.709-62.715) | < 0.001 |
| History of GER | 2.479 | 0.534 | 21.513 | 11.925 (4.184-33.989) | < 0.001 |
| Other digestive tract diseases | 0.028 | 0.570 | 0.002 | 1.028 (0.336-3.145) | 0.961 |
| Hypertension | -0.661 | 0.437 | 2.294 | 0.516 (0.219-1.215) | 0.130 |
| Diabetes mellitus | -0.854 | 0.533 | 2.568 | 0.426 (0.150-1.210) | 0.109 |
| History of asthma | 0.313 | 0.594 | 0.278 | 1.368 (0.427-4.383) | 0.598 |
| Psychiatric history | 0.467 | 0.827 | 0.319 | 1.596 (0.315-8.072) | 0.572 |
| History of respiratory infection (within 2 mo) | -0.560 | 1.155 | 0.235 | 0.571 (0.059-5.492) | 0.628 |
| History of surgery | 1.181 | 0.692 | 2.915 | 3.258 (0.840-12.642) | 0.088 |
| Lidocaine (2% mL) (continuous) | 0.016 | 0.121 | 0.018 | 1.017 (0.802-1.289) | 0.892 |
| Palliative (d vs midazolam) | 0.005 | 0.416 | 0.000 | 1.005 (0.445-2.272) | 0.990 |
| Sufentanil (g) | . | ||||
| 10 | - | - | - | Ref. | . |
| 15 | 10.378 | 182.118 | 0.003 | 32155.18 (0.000-3.36E159) | 0.955 |
| 20 | 10.653 | 182.121 | 0.003 | 42315.00 (0.000-4.44E159) | 0.953 |
| Propofol (mg) (continuous) | -0.060 | 0.028 | 4.680 | 0.942 (0.892-0.994) | 0.031 |
| Arden (mg) (continuous) | -0.185 | 0.236 | 0.619 | 0.831 (0.523-1.318) | 0.431 |
| Rocuronium bromide (continuous) | -0.005 | 0.050 | 0.009 | 0.995 (0.902-1.098) | 0.926 |
| Sufentanil (continuous) | 0.016 | 0.025 | 0.383 | 1.016 (0.967-1.067) | 0.536 |
| SAI (continuous) | 0.134 | 0.031 | 0.497 | 1.011 (0.976-1.044) | 0.647 |
| TAI (continuous) | 0.006 | 0.029 | 0.516 | 1.004 (0.962-1.051) | 0.712 |
| SDS (continuous) | -0.072 | 0.013 | 0.311 | 0.982 (0.948-1.035) | 0.562 |
BMI: Body mass index; CI: Confidence interval; GER: Gastroesophageal reflux; OR: Odds ratio; SAI: State anxiety inventory; SD: Standard deviation; SDS: Self-rating depression scale; TAI: Trait anxiety inventory.
The results of the impact factors on GER time were evaluated using multivariate linear analyses and are shown in Table 3. Overall, we noted that older age (P = 0.004), longer operative time (P < 0.001), pharyngitis (P < 0.001), and history of GER (P = 0.024) were associated with longer GER time. Moreover, patients with hypertension were associated with a shorter GER time (P = 0.017).
Table 3.
The factors associated with gastroesophageal reflux time by multivariate linear regression analyses
|
Variables
|
β
value
|
SE
|
t
value
|
P
value
|
| Intercept | 12.061 | 17.616 | 0.685 | 0.494 |
| Gender | 1.732 | 3.079 | 0.563 | 0.574 |
| Age (yr) (continuous) | 0.277 | 0.095 | 2.903 | 0.004 |
| Type of surgery | -0.898 | 3.178 | -0.283 | 0.778 |
| Operative time (min) (continuous) | 0.103 | 0.031 | 3.378 | < 0.001 |
| BMI (kg/m2) (continuous) | -0.667 | 0.517 | -1.290 | 0.197 |
| Intraoperative blood loss (mL) (continuous) | -0.007 | 0.007 | -1.057 | 0.291 |
| Smoking status | 6.843 | 3.821 | 1.791 | 0.074 |
| Alcohol intake | 3.309 | 4.692 | 0.705 | 0.481 |
| Pharyngitis | 33.566 | 3.418 | 9.820 | < 0.001 |
| History of gastroesophageal reflux | 13.809 | 6.111 | 2.260 | 0.024 |
| Other digestive tract diseases | 1.165 | 5.896 | 0.198 | 0.844 |
| Hypertension | -8.575 | 3.593 | -2.386 | 0.017 |
| Diabetes mellitus | -2.448 | 4.280 | -0.572 | 0.568 |
| History of asthma | -2.465 | 6.177 | -0.399 | 0.690 |
| Psychiatric history | -5.423 | 9.060 | -0.599 | 0.550 |
| History of respiratory infection (within 2 mo) | -7.538 | 9.566 | -0.788 | 0.431 |
| History of surgery | 4.426 | 6.443 | 0.687 | 0.492 |
| Lidocaine (2% mL) (continuous) | -1.224 | 0.927 | -1.320 | 0.187 |
| Palliative (d vs midazolam) | 4.683 | 3.009 | 1.556 | 0.120 |
| Sufentanil (g) | ||||
| 10 | ref | - | - | - |
| 15 | 1.823 | 11.849 | 0.154 | 0.878 |
| 20 | 2.301 | 13.692 | 0.168 | 0.867 |
| Propofol (mg) (continuous) | -0.174 | 0.160 | -1.093 | 0.275 |
| Arden (mg) (continuous) | 1.408 | 1.857 | 0.758 | 0.449 |
| Rocuronium bromide (continuous) | -0.061 | 0.337 | -0.182 | 0.856 |
| Sufentanil (continuous) | -0.086 | 0.214 | -0.401 | 0.689 |
| SAI (continuous) | -0.053 | 0.031 | -0.253 | 0.546 |
| TAI (continuous) | -0.027 | 0.087 | -0.436 | 0.658 |
| SDS (continuous) | 0.011 | 0.053 | 0.211 | 0.432 |
BMI: Body mass index; GER: Gastroesophageal reflux; SAI: State anxiety inventory; SE: Standard error; SDS: Self-rating depression scale; TAI: Trait anxiety inventory.
DISCUSSION
This study reported that 13.6% of patients had GER. Risk factors for the incidence of GER include female sex, older age, pharyngitis, and history of GER, whereas the use of propofol was a protective factor. Moreover, older age, longer operative time, pharyngitis, and a history of GER produced longer GER time, whereas patients with hypertension were associated with shorter GER time.
The current study suggested that female sex was a potential risk factor for the incidence of GER; this result was consistent with a previous study[15] that recruited 23557 World Trade Center responders and found that women were associated with a greater risk of GER than men (hazard ratio: 1.25; 95%CI: 1.13-1.38). The potential reason for this could be that women present with more severe symptoms, leading to an easier diagnosis, whereas GER in men is mild compared to women, which may lead to a missed diagnosis[16,17]. Moreover, older age was associated with an increased risk of GER, which is consistent with a previous study[11]. The potential reason for this is that comorbidities of patients could affect the risk of GER. Furthermore, older people have poor esophageal acid clearance and decreased defense mechanisms against reflux of acid gastric contents on the esophageal mucosa[18,19].
Moreover, we noted that pharyngitis and a history of GER were associated with a greater risk of GER in patients undergoing general anesthesia. The 24-h pH monitoring for these patients should be employed to detect pathological reflux, and medical antireflux treatment should be used to prevent the progression of GER[20]. Moreover, the bidirectional associations of GER and pharyngitis, erosive esophagitis, esophageal strictures, Barrett's esophagus, and esophageal adenocarcinoma could be used to interpret these risk factors.
We noted that the use of propofol was associated with a lower risk of GER, whereas this result was variable compared with previous studies. Chawla et al[21] conducted 48-h pH tracings in 88 children and found that an increase in GER risk during the post-anesthesia period correlated with a direct effect of propofol or other related factors. However, the study conducted by Turan et al[22] found similar effects of dexmedetomidine and propofol on lower esophageal sphincter pressure and gastroesophageal pressure gradient. However, although a decrease in lower esophageal sphincter pressure at high concentrations was detected, there was no evidence that this effect could promote GER during sedation. Therefore, these effects should be verified in future prospective studies.
Numerous factors were not associated with the risk of GER, including type of surgery, operative time, body mass index, intraoperative blood loss, smoking status, alcohol intake, other digestive tract diseases, hypertension, diabetes mellitus, history of asthma, psychiatric history, history of respiratory infection (within 2 mo), history of surgery, lidocaine, the use of palliative strategies (dexmedetomidine vs midazolam), arden, rocuronium bromide, sufentanil, SAI, TAI, and SDS. A previous study indicated that anxiety and depression levels were significantly higher in subjects with GER[23] and pointed out that the potential reasons for this could be that psychological factors always precede the clinical manifestations of GER. Moreover, anxiety can induce acid reflux by lowering the pressure of the lower esophageal sphincter, changing esophageal motility or increasing gastric acid secretion[24,25].
The results of this study indicated that older age, longer operative time, pharyngitis, and history of GER produce longer GER time. The greater incidence of GER in patients during general anesthesia induction, which is associated with longer GER time, potentially leads to the longer operative time. Moreover, older age, pharyngitis, and history of GER are associated with a higher risk of GER, which correlates with long GER time. Interestingly, the results of this study indicated that hypertensive patients were associated with shorter GER time, which might be due to a potential beneficial effect of GER on hypertension in terms of inducing changes in the dietary habits of patients[26].
A strength of this study is that we systematically explored the risk factors for the incidence of GER in patients undergoing general anesthesia. Furthermore, this study is the first to explore factors affecting GER time, and the cohort data used in this study were of high completeness, accuracy, and quality. However, several limitations of this study should be mentioned: (1) The study design was retrospective, which might introduce uncontrolled biases that might lead to overestimated associations; (2) The severity of GER during general anesthesia induction was not explored in this study; and (3) Stratified analyses based on patients’ characteristics were not conducted because all factors entered the regression models. Therefore, the specific factors affecting the risk of GER in patients with specific characteristics during general anesthesia should be explored in future prospective studies.
CONCLUSION
Among patients who underwent general anesthesia, 12.8% had one GER event, and 0.8% had two GER events. We noted that female sex, older age, pharyngitis, and history of GER were associated with an increased risk of GER, whereas the use of propofol could protect against the risk of GER. In addition, older age, longer operative time, pharyngitis, and history of GER produced longer GER time, whereas patients with hypertension were associated with shorter GER time. These results require further prospective studies of patients undergoing general anesthesia.
ARTICLE HIGHLIGHTS
Research background
Gastroesophageal reflux (GER) is the most likely complication in perioperative patients, and early detection, diagnosis, and treatment can prevent serious adverse consequences.
Research motivation
No previous study had investigated the independent risk factors for the risk of GER and total GER time for patients undergoing general anesthesia.
Research objectives
To explore independent risk factors for the incidence and extent of GER during general anesthesia induction.
Research methods
This is a retrospective study, and 601 adult patients who received general anesthesia intubation or laryngeal mask surgery were involved. The definition of GER was based on assessment by Orion II-ohmega portable pH dynamic monitoring recorder, which was used to monitor the pH of the middle and lower esophagus to observe whether reflux occurred and to measure the occurrence frequency and duration. The potential risk factors for the incidence of GER were explored using multivariate logistic regression, and the risk factors for the extent of GER were evaluated using multivariate linear regression.
Research results
This study found female sex, increased age, pharyngitis, and history of GER were associated with an increased risk of GER, whereas the use of propofol could protect against the risk of GER. Moreover, age, operative time, pharyngitis, history of GER, and hypertension were significantly associated with GER time.
Research conclusions
This study identified the risk factors for the incidence of GER in patients undergoing general anesthesia, including female sex, increased age, pharyngitis, and history of GER.
Research perspectives
Further prospective studies should be performed to verify these findings owing to the retrospective design of this study.
Footnotes
Institutional review board statement: This study was approved by the ethics committee of Shanghai General Hospital (2019KY037).
Informed consent statement: Informed consent was waived by the committee because of the retrospective nature of the study.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Provenance and peer review: Unsolicited article; Externally peer reviewed.
Peer-review started: May 22, 2021
First decision: June 28, 2021
Article in press: September 16, 2021
Specialty type: Anesthesiology
Country/Territory of origin: China
Peer-review report’s scientific quality classification
Grade A (Excellent): 0
Grade B (Very good): 0
Grade C (Good): C
Grade D (Fair): 0
Grade E (Poor): 0
P-Reviewer: Gasparoni LM S-Editor: Liu M L-Editor: Filipodia P-Editor: Liu JH
Contributor Information
Xiao Zhao, Anesthesiology Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200000, China.
Shi-Tong Li, Anesthesiology Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200000, China. lishitongs021@163.com.
Lian-Hua Chen, Anesthesiology Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200000, China.
Kun Liu, Anesthesiology Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200000, China.
Ming Lian, Anesthesiology Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200000, China.
Hui-Juan Wang, Anesthesiology Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200000, China.
Yi-Jiao Fang, Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Data sharing statement
The data set supporting the results of this article are included within the article.
References
- 1.Maret-Ouda J, Markar SR, Lagergren J. Gastroesophageal Reflux Disease: A Review. JAMA. 2020;324:2536–2547. doi: 10.1001/jama.2020.21360. [DOI] [PubMed] [Google Scholar]
- 2.Vakil N, Malfertheiner P, Salis G, Flook N, Hongo M. An international primary care survey of GERD terminology and guidelines. Dig Dis. 2008;26:231–236. doi: 10.1159/000121352. [DOI] [PubMed] [Google Scholar]
- 3.Dent J, El-Serag HB, Wallander MA, Johansson S. Epidemiology of gastro-oesophageal reflux disease: a systematic review. Gut. 2005;54:710–717. doi: 10.1136/gut.2004.051821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.El-Serag HB. Time trends of gastroesophageal reflux disease: a systematic review. Clin Gastroenterol Hepatol. 2007;5:17–26. doi: 10.1016/j.cgh.2006.09.016. [DOI] [PubMed] [Google Scholar]
- 5.Wang SM, Freedman ND, Katki HA, Matthews C, Graubard BI, Kahle LL, Abnet CC. Gastroesophageal reflux disease: A risk factor for laryngeal squamous cell carcinoma and esophageal squamous cell carcinoma in the NIH-AARP Diet and Health Study cohort. Cancer. 2021;127:1871–1879. doi: 10.1002/cncr.33427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pandeya N, Webb PM, Sadeghi S, Green AC, Whiteman DC Australian Cancer Study. Gastro-oesophageal reflux symptoms and the risks of oesophageal cancer: are the effects modified by smoking, NSAIDs or acid suppressants? Gut. 2010;59:31–38. doi: 10.1136/gut.2009.190827. [DOI] [PubMed] [Google Scholar]
- 7.El-Serag H. Role of obesity in GORD-related disorders. Gut. 2008;57:281–284. doi: 10.1136/gut.2007.127878. [DOI] [PubMed] [Google Scholar]
- 8.Jansson C, Nordenstedt H, Johansson S, Wallander MA, Johnsen R, Hveem K, Lagergren J. Relation between gastroesophageal reflux symptoms and socioeconomic factors: a population-based study (the HUNT Study) Clin Gastroenterol Hepatol. 2007;5:1029–1034. doi: 10.1016/j.cgh.2007.04.009. [DOI] [PubMed] [Google Scholar]
- 9.Nordenstedt H, Lagergren J. Environmental factors in the etiology of gastroesophageal reflux disease. Expert Rev Gastroenterol Hepatol. 2008;2:93–103. doi: 10.1586/17474124.2.1.93. [DOI] [PubMed] [Google Scholar]
- 10.Taraszewska A. Risk factors for gastroesophageal reflux disease symptoms related to lifestyle and diet. Rocz Panstw Zakl Hig. 2021;72:21–28. doi: 10.32394/rpzh.2021.0145. [DOI] [PubMed] [Google Scholar]
- 11.Maret-Ouda J, Wahlin K, El-Serag HB, Lagergren J. Association Between Laparoscopic Antireflux Surgery and Recurrence of Gastroesophageal Reflux. JAMA. 2017;318:939–946. doi: 10.1001/jama.2017.10981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wang XH, Tan YY, Zhu HY, Li CJ, Liu DL. Full-thickness myotomy is associated with higher rate of postoperative gastroesophageal reflux disease. World J Gastroenterol. 2016;22:9419–9426. doi: 10.3748/wjg.v22.i42.9419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lindam A, Ness-Jensen E, Jansson C, Nordenstedt H, Åkerstedt T, Hveem K, Lagergren J. Gastroesophageal Reflux and Sleep Disturbances: A Bidirectional Association in a Population-Based Cohort Study, The HUNT Study. Sleep. 2016;39:1421–1427. doi: 10.5665/sleep.5976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Flook N, Jones R, Vakil N. Approach to gastroesophageal reflux disease in primary care: Putting the Montreal definition into practice. Can Fam Physician. 2008;54:701–705. [PMC free article] [PubMed] [Google Scholar]
- 15.Jiang J, Icitovic N, Crane MA, Dasaro CR, Kaplan JR, Lucchini RG, Luft BJ, Moline JM, Pendem L, Shapiro M, Udasin IG, Todd AC, Teitelbaum SL. Sex differences in asthma and gastroesophageal reflux disease incidence among the World Trade Center Health Program General Responder Cohort. Am J Ind Med. 2016;59:815–822. doi: 10.1002/ajim.22634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lin M, Gerson LB, Lascar R, Davila M, Triadafilopoulos G. Features of gastroesophageal reflux disease in women. Am J Gastroenterol. 2004;99:1442–1447. doi: 10.1111/j.1572-0241.2004.04147.x. [DOI] [PubMed] [Google Scholar]
- 17.Nilsson M, Johnsen R, Ye W, Hveem K, Lagergren J. Prevalence of gastro-oesophageal reflux symptoms and the influence of age and sex. Scand J Gastroenterol. 2004;39:1040–1045. doi: 10.1080/00365520410003498. [DOI] [PubMed] [Google Scholar]
- 18.Huang X, Zhu HM, Deng CZ, Porro GB, Sangaletti O, Pace F. Gastroesophageal reflux: the features in elderly patients. World J Gastroenterol. 1999;5:421–423. doi: 10.3748/wjg.v5.i5.421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ter RB, Johnston BT, Castell DO. Influence of age and gender on gastroesophageal reflux in symptomatic patients. Dis Esophagus. 1998;11:106–108. doi: 10.1093/dote/11.2.106. [DOI] [PubMed] [Google Scholar]
- 20.Tauber S, Gross M, Issing WJ. Association of laryngopharyngeal symptoms with gastroesophageal reflux disease. Laryngoscope. 2002;112:879–886. doi: 10.1097/00005537-200205000-00019. [DOI] [PubMed] [Google Scholar]
- 21.Chawla A, Girda E, Walker G, Turcotte Benedict F, Tempel M, Morganstern J. Effect of Propofol on Acid Reflux Measured with the Bravo pH Monitoring System. ISRN Gastroenterol. 2013;2013:605931. doi: 10.1155/2013/605931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Turan A, Wo J, Kasuya Y, Govinda R, Akça O, Dalton JE, Sessler DI, Rauch S. Effects of dexmedetomidine and propofol on lower esophageal sphincter and gastroesophageal pressure gradient in healthy volunteers. Anesthesiology. 2010;112:19–24. doi: 10.1097/01.anes.0000365963.97138.54. [DOI] [PubMed] [Google Scholar]
- 23.Choi JM, Yang JI, Kang SJ, Han YM, Lee J, Lee C, Chung SJ, Yoon DH, Park B, Kim YS. Association Between Anxiety and Depression and Gastroesophageal Reflux Disease: Results From a Large Cross-sectional Study. J Neurogastroenterol Motil. 2018;24:593–602. doi: 10.5056/jnm18069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Avidan B, Sonnenberg A, Giblovich H, Sontag SJ. Reflux symptoms are associated with psychiatric disease. Aliment Pharmacol Ther. 2001;15:1907–1912. doi: 10.1046/j.1365-2036.2001.01131.x. [DOI] [PubMed] [Google Scholar]
- 25.Johnston BT. Stress and heartburn. J Psychosom Res. 2005;59:425–426. doi: 10.1016/j.jpsychores.2005.05.011. [DOI] [PubMed] [Google Scholar]
- 26.Hu Z, Chen M, Wu J, Song Q, Yan C, Du X, Wang Z. Improved control of hypertension following laparoscopic fundoplication for gastroesophageal reflux disease. Front Med. 2017;11:68–73. doi: 10.1007/s11684-016-0490-7. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data set supporting the results of this article are included within the article.
