Retrospective Analysis of Incidence and Risk Factors of Postoperative Nausea and Vomiting after Orthopedic Surgery under Spinal Anesthesia

DOI: https://doi.org/10.21203/rs.3.rs-1352002/v1

Abstract

Background: Although postoperative nausea and vomiting (PONV) commonly occurs after spinal anesthesia, it has been scarcely studied. Therefore, we aimed to investigate its incidence rate and potential predictors.

Methods: The electronic medical records of 6,610 consecutive patients undergoing orthopedic surgery under spinal anesthesia between January 2016 and December 2020 were reviewed. The primary outcome was PONV incidence within 24 h after spinal anesthesia. Along with its incidence rate, we investigated its predictors using multivariable logistic regression analysis. We also performed an interaction analysis for the primary outcome between the baseline PONV risk (low to medium vs. high) and the number of prophylactic agent.

Results: Among the 5,691 patients included in the analysis, 1,298 (22.8%) experienced PONV within 24 h after spinal anesthesia. Female sex (odds ratio [OR]=3.18; 95% confidence interval [CI], 2.67–3.78; P<0.001), nonsmoker (OR=2.13; 95% CI, 1.46–3.10; P<0.001), history of PONV (OR=1.53; 95% CI, 1.27–1.84; P<0.001), 5-HT3R antagonist (OR=0.35; 95% CI, 0.24–0.50; P<0.001), steroid (OR=0.53; 95% CI, 0.45–0.63; P<0.001), baseline heart rate ≥60 beats/min (OR=1.36; 95% CI, 1.09–1.70, P=0.007), and postoperative opioid use (OR=2.57; 95% CI, 1.80–3.67; P<0.001) were significant predictors of the primary outcome. An interaction analysis revealed that baseline PONV risk was an effect modifier for the association between dual prophylactic agents (vs. single agent) and primary outcome (interaction P=0.026).

Conclusions: Our study showed the common incidence of PONV after spinal anesthesia and its significant predictors. A better understanding of its predictor may provide important information for its management.

Background

Postoperative nausea and vomiting (PONV) is a major postoperative complication that requires attention from anesthesiologists. PONV possibly results in the delayed discharge from post-anesthesia care unit, unanticipated readmission, and increased medical costs [13]. It is also the main cause of patient dissatisfaction with surgery and anesthesia [4, 5]. Therefore, PONV management is essential to improve postoperative outcome and patient satisfaction.

However, previous studies on PONV have been mainly conducted in patients under general anesthesia [6]. Specifically, information on risk factors of PONV have been obtained from patients under general anesthesia [7, 8]. Recent PONV guidelines have also focused on the management of PONV after general anesthesia [6]. Spinal anesthesia has been considered an effective strategy to reduce the baseline risk of PONV, compared to general anesthesia [6]. However, PONV also commonly occurs after spinal anesthesia and reduces patient satisfaction with spinal anesthesia [9]. Additionally, several factors associated with spinal anesthesia, which are distinct from general anesthesia, can contribute to the incidence of PONV [10].

To the best of our knowledge, the incidence and risk factors of PONV in a large cohort of patients undergoing spinal anesthesia have not been investigated. From our experience with PONV after spinal anesthesia obtained from our acute pain service, we believed that anesthesiologists should pay as much attention as general anesthesia to prevent PONV after spinal anesthesia. Therefore, we conducted a retrospective observational study to investigate the incidence rate of PONV in patients who underwent orthopedic surgery under spinal anesthesia and its potential risk factors. We also investigated the association between prophylactic antiemetic and the incidence of PONV after spinal anesthesia. Our study may provide important information regarding the prevention of PONV after spinal anesthesia.

Methods

Study Design and Population

The protocols used in this study were approved by the Institutional Review Board of the Seoul National University Hospital on November 24, 2021 (Approval No. : 2111–086–1273), and individual patient consent was waived. This study was performed in accordance with the Declaration of Helsinki and reported following the Strengthening the Reporting of Observational Studies in Epidemiology statement [11].

This study included adult patients with American Society of Anesthesiologists (ASA) physical status I–III and who underwent orthopedic surgery under spinal anesthesia between January 2016 and December 2020. We excluded patients based on the following criteria: (1) reoperation within 24 h after anesthesia, (2) discharge within 24 h after anesthesia, (3) transfer to the intensive care unit after anesthesia, and (4) conversion into general anesthesia. Only the first surgery was included if the same patient underwent more than one surgery under spinal anesthesia during the study period. A priori sample size calculation was not performed due to the retrospective design of the study.

Anesthetic Management

The choice of anesthetic management and perioperative care were decided by the attending anesthesiologists or surgeons. The overall institutional protocols are summarized here briefly. Patients were admitted to the operating room without any premedication. After routine monitoring, patients were anesthetized with spinal or combined spinal-epidural anesthesia (CSEA). Spinal anesthesia was inducted using intrathecal injection of 0.5% hyperbaric bupivacaine with or without 10–20 mcg of fentanyl. For CSEA, epidural test dose was administered via epidural catheter after the same intrathecal injection to confirm that it was correctly placed at the epidural space using 3 ml of 2% lidocaine with 1:200,000 epinephrine. After confirming the adequate block level, intravenous midazolam (2–5 mg bolus) or dexmedetomidine (1 µg/kg for 10 min as a loading dose, followed by continuous infusion at a rate of 0.5 µg/kg/h throughout the surgery) was administered for intraoperative sedation according to the patient’s preference. After surgery, patients were transferred to the post-anesthesia care unit. During the postoperative period, rescue antiemetics, such as 5-hydroxytryptamine receptor (5-HT3R) antagonists or metoclopramides, were administered at the attending physician’s discretion.

For PONV prophylaxis, either (1) 5-mg dexamethasone and/or 0.075-mg palonosetron before admission to the operating room or (2) 0.3-mg ramosetron before the end of surgery was administered intravenously. The type and number of prophylactic antiemetic were selected based on the preference of the attending physician. For postoperative analgesia, patient-controlled analgesia (PCA) was provided unless contraindicated, under the informed consent of the patient. Intravenous PCA consisted of a combination of nefopam (0.8 mg/mL) and fentanyl (10 µg/mL) at a continuous infusion rate of 1 mL/h and a bolus of 1 mL, with a 15-min lockout interval. Some of the patients who underwent total knee replacement arthroplasty received a continuous femoral nerve block using 0.2% ropivacaine for postoperative analgesia. Epidural PCA was performed in some patients who received CSEA. The type of PCA was determined based on the attending anesthesiologist’s preference.

Study Outcomes, Study Groups, and Data Collection

The primary outcome was PONV incidence during the first 24 h postoperatively (overall PONV). The secondary outcomes were PONV incidence during the 0–6 (early) and 6–24 h (delayed) postoperatively. Nurses regularly evaluate and record PONV incidences in the post-anesthesia care unit and general wards in our institution.

Demographic, medical history, and perioperative variable data, including PONV incidence and antiemetic use, were retrieved from electronic medical records using the Seoul National University Hospital Patients Research Environment system. PONV data were extracted from the nursing records. The following potential risk factors were also collected: surgical site, age, sex, body mass index (kg/m2), current smoking status, ASA physical status, history of PONV, intrathecal fentanyl administration, use of steroids and 5-HT3R antagonists for PONV prophylaxis, peak level of sensory blockade (≥ T5 or not), intraoperative use of sedatives, baseline heart rate (≥ 60 beats/min), intraoperative hypotension (defined as mean arterial blood pressure < 65 mmHg), and postoperative opioid use during the first 24 h postoperatively. Postoperative opioid use included intravenous PCA with opioids and rescue opioids. The Apfel score, which consists of four risk factors (female sex, history of PONV, nonsmoking, and use of postoperative opioids), was calculated from our data [7]. History of motion sickness could not be included in the calculated Apfel score due to lack of information.

Statistical Analyses

First, we investigated the incidence of overall PONV with its 95% confidence interval (CI) according to the calculated Apfel score and number of prophylactic antiemetics.

Second, to identify the independent risk factors for the overall PONV after spinal anesthesia, we performed a multivariable binary logistic analysis with backward stepwise conditional method. The variables that demonstrated trends suggesting statistical significance (P < 0.2) in univariable analyses were included into the next step of multivariable logistic analysis. The following variables were included in the analysis: sex, age, body mass index, current smoking status, history of PONV, ASA physical status, intrathecal fentanyl administration, use of 5-HT3R antagonists and steroids for PONV prophylaxis, peak level of sensory blockade (≥ T5 or not), intraoperative use of sedatives, baseline heart rate (≥ 60 beats/min), intraoperative hypotension (mean blood pressure < 65 mmHg), and postoperative opioid use during the first 24 h postoperatively. We also performed a multivariable binary logistic analysis, in which the number of prophylactic agent (none vs. single vs. dual) and calculated Apfel score (0 or 1 vs. 2 vs. 3 vs. 4) were included in the variables, instead of variables constituting them. Variance inflation factor was used to evaluate multicollinearity between the variables included in the final multivariable model. Multivariable logistic analyses were also performed in the same manner for the secondary outcomes, respectively.

Finally, to investigate the association between the number of prophylactic antiemetics and PONV incidence during the first 24 h postoperatively, we calculated the adjusted odds ratio (OR) of the number of prophylactic agent according to the baseline PONV risk (high risk, Apfel score ≥ 3; low to medium risk, Apfel score < 3) based on the calculated Apfel score. We additionally adjusted the variables included in the final model of the aforementioned multivariable logistic analysis. To investigate whether the baseline PONV risk was an effect modifier, interaction analysis for the overall PONV between the baseline PONV risk and number of prophylactic agents was performed. If their interactions were significant, their interaction terms were included in the final models.

Data were analyzed using R version.4.0.0 software (R Foundation for Statistical Computing, Vienna, Austria). Continuous variables are presented as the median and interquartile range and were compared using the Mann–Whitney U test. Categorical variables are presented as numbers (%), and their differences were assessed using the χ2 test or Fisher’s exact test, where appropriate. A two-sided P-value < 0.05 was considered statistically significant.

Results

During the study period, 6,610 patients underwent orthopedic surgery under spinal anesthesia. After 919 patients were excluded following the exclusion criteria, the remaining 5,691 patients were included in the final analysis (Fig. 1). Among them, PONV occurred within 24 h postoperatively in 1,298 patients (22.8%).

Table 1 presents the comparison of baseline characteristics between patients with and without overall PONV. There were significant between-group differences in the surgical site, age, sex, BMI, nonsmoker, history of PONV, prophylactic agents, type of local anesthetic agent, intrathecal fentanyl, duration of anesthesia, baseline heart rate ≥ 60 beats/min, intraoperative bradycardia, vasopressor use, type of PCA, and postoperative opioid use. Figure 2 shows the incidence rate of overall PONV according to the calculated Apfel score and number of prophylactic agent. The number of prophylactic agent and incidence rates of overall, early, and delayed PONV according to the calculated Apfel score are presented in Supplemental Table 1. Table 2 presents the results of multivariable logistic regression analysis for the incidence of overall PONV. Multivariable analysis revealed independent association between the overall PONV incidence and female sex (OR = 3.23; 95% CI, 2.72–3.83; P < 0.001), nonsmoker (OR = 2.12; 95% CI, 1.46–3.07; P < 0.001), history of PONV (OR = 1.52; 95% CI, 1.26–1.82; P < 0.001), 5-HT3R antagonist (OR = 0.35; 95% CI, 0.24–0.50; P < 0.001), steroid (OR = 0.53; 95% CI, 0.44–0.62; P < 0.001), baseline heart rate ≥ 60 beats/min (OR = 1.38; 95% CI, 1.10–1.72; P = 0.005), and postoperative opioid use (OR = 2.57; 95% CI, 1.80–3.67; P < 0.001). Supplemental Table 2 presents the results of multivariable logistic regression analysis, including the calculated Apfel score and number of prophylactic agent. Supplemental Tables 3 and 4 present the logistic analyses for the secondary outcomes. Baseline heart rate ≥ 60 beats/min (OR, 1.51; 95% CI, 1.12–2.04; P = 0.007) was associated with an increase of early PONV incidence, however, not significantly associated with the incidence of delayed PONV. 

An interaction analysis revealed that the baseline PONV risk (Apfel score 0–2 vs. 3 or 4) was not an effect modifier for the association between no prophylactic agent (vs. single agent) and overall PONV (interaction P = 0.344; Table 3). However, baseline PONV risk was an effect modifier for the association between dual prophylactic agents (vs. single agent) and overall PONV (interaction P = 0.026). The ORs of dual prophylactic agents (vs. single agent) for overall PONV were 0.79 (95% CI, 0.53–1.18; P = 0.250) and 0.48 (95% CI, 0.40–0.58; P < 0.001) in patients with mild to moderate PONV risk and those with high PONV risk, respectively.

Table 1

Perioperative variables between patients with and without postoperative nausea and vomiting (PONV) after spinal anesthesia

 

no PONV (n = 4393)

PONV (n = 1298)

P-valueb

Surgical site, n (%)

   

0.001

Hip

918 (20.9)

322 (24.8)

 

Thigh

217 (4.9)

32 (2.5)

 

Knee

2255 (51.3)

654(50.4)

 

Lower leg

332(7.6)

92 (7.1)

 

Ankle

335(7.6)

95 (7.3)

 

Foot

337 (7.7)

103 (7.9)

 

Age, year (IQR)

64 (53–73)

66 (57–73)

0.019

Female, n (%)

2699 (61.4)

1096 (84.4)

< 0.001

Body mass index, kg/m2 (IQR)

25.4 (23.0–28.0)

25.1 (23.1–27.6)

0.046

Nonsmoker, n (%)

3967 (90.3)

1264 (97.4)

< 0.001

ASA physical status, I/II/III, n (%)

1233 (28.1)/2946 (67.1)/214 (4.9)

380 (29.3)/861 (66.3)/57 (4.4)

0.583

History of PONV, n (%)

436 (9.9)

212 (16.3)

< 0.001

Type of regional anesthesia, n (%)

   

0.824

Spinal anesthesia

4163 (94.8)

1228 (94.6)

 

CSEA

230 (5.2)

70 (5.4)

 

PONV prophylaxis, n (%)

     

Steroid

1124 (25.6)

221 (17.0)

< 0.001

5-HT3R antagonist

4317 (98.3)

1231 (94.8)

< 0.001

Type of local anesthetic, n (%)

     

Bupivacaine

4294 (97.7)

1290 (99.4)

< 0.001

Levobupivacaine

173 (3.9)

33 (2.5)

0.018

Intrathecal fentanyl, n (%)

1529 (34.8)

517 (39.8)

0.001

Intraoperative sedation, n (%)

3923 (89.3)

1152 (88.8)

0.576

Dexmedetomidine

3570 (81.3)

1057 (81.4)

0.892

Midazolam

553 (12.6)

150 (11.6)

0.321

Duration of anesthesia, hour (IQR)

2.3 (1.9–2.7)

2.3 (2.0–2.7)

< 0.001

Peak block height ≥ T5, n (%)

2163 (50.4)

669 (52.4)

0.145

Baseline heart rate ≥ 60 beats/min, n (%)

3832 (87.2)

1187 (91.4)

< 0.001

Intraoperative bradycardia, n (%)

3679 (83.7)

1145 (88.2)

< 0.001

Duration of intraoperative bradycardia, min (IQR)

67 (12–102)

68.5 (21–101)

0.115

Intraoperative anticholinergic use, n (%)

432 (9.8)

122 (9.4)

0.642

Intraoperative hypotension, n (%)

2191 (49.9)

673 (51.8)

0.211

Duration of intraoperative hypotension, min (IQR)

0 (0–6)

1 (0–6)

0.454

Intraoperative vasopressor use, n (%)

1990 (45.3)

650 (50.1)

0.002

Postoperative opioid use, n (%) a

4061 (92.4)

1259 (97.0)

< 0.001

Type of PCA, n (%)

   

< 0.001

IV-PCA

3586 (81.6)

1141 (87.9)

 

Continuous FNB

601 (13.7)

126 (9.7)

 

Epidural PCA

20 (0.5)

3 (0.2)

 

None

186 (4.2)

28 (2.2)

 
The values are presented as medians (interquartile range) or numbers (%).
Abbreviations: ASA, American Society of Anesthesiologists; CSEA, Combined spinal-epidural anesthesia; FNB, Femoral nerve blockade; PCA, Patient controlled-analgesia; 5-HT3R, 5-hydroxytryptamine receptor
a during the first 24 h postoperatively
b Categorical variables were compared by the chi-square test. Continuous variables were compared by the Mann-Whitney U test.
Table 2

Binary logistic regression analysis for factors associated with postoperative nausea vomiting after spinal anesthesia

 

Univariable analysis

Multivariable analysis

 

OR (95% CI)

P-valueb

OR (95% CI)

P-valuec

Female (vs. male)

3.41 (2.90–4.00)

< 0.001

3.23 (2.72–3.83)

< 0.001

Age, 10 years

1.07 (1.03–1.11)

< 0.001

   

Body mass index, kg/m²

0.98 (0.97–1.00)

0.022

0.98 (0.97–1.00)

0.063

Nonsmoker

3.99 (2.80–5.69)

< 0.001

2.12 (1.46–3.07)

< 0.001

History of PONV

1.77 (1.48–2.12)

< 0.001

1.52 (1.26–1.82)

< 0.001

ASA physical status

       

I

Reference

     

II

0.95 (0.83–1.09)

0.450

   

III

0.86 (0.63–1.18)

0.362

   

Intrathecal fentanyl administration

1.24 (1.09–1.41)

< 0.001

   

5-HT3R antagonist

0.32 (0.23–0.45)

< 0.001

0.35 (0.24–0.50)

< 0.001

Steroid

0.60 (0.51–0.70)

< 0.001

0.53 (0.44–0.62)

< 0.001

Peak block height ≥ T5

1.10 (0.97–1.24)

0.145

   

Intraoperative sedation

0.95 (0.78–1.15)

0.576

   

Baseline heart rate ≥ 60 beats/min

1.56 (1.26–1.93)

< 0.001

1.38 (1.10–1.72)

0.005

Intraoperative hypotension

1.15 (1.01–1.30)

0.033

   

Postoperative opioid use a

2.64 (1.88–3.70)

< 0.001

2.57 (1.80–3.67)

< 0.001

Abbreviations: ASA, American Society of Anesthesiologists; CI, confidence interval; OR, odds ratio; PONV, postoperative nausea and vomiting; 5-HT3R, 5-hydroxytryptamine receptor
a during the first 24 h postoperatively
b An univariable binary logistic regression analysis was performed for each variable, respectively.
c A multivariable binary logistic analysis with backward stepwise conditional method including the variables with statistical significance (P < 0.2) in univariable analyses was performed.
Table 3

Number of prophylactic agent and the calculated Apfel score for PONV occurrence after spinal anesthesia

 

Adjusted OR

(95% CI)a,b

P-value a,b

Interaction

P-value c

No agent (vs. single agent), all patients

2.38 (1.65–3.43)

< 0.001

0.344

Single agent

   

Reference

Mild to moderate PONV risk (Apfel score 0–2)

Reference

   

High PONV risk (Apfel score 3 or 4)

3.75 (3.20–4.40)

< 0.001

 

Dual agents (vs. single agent)

   

0.026

Mild to moderate PONV risk (Apfel score 0–2)

0.79 (0.53–1.18)

0.250

 

High PONV risk (Apfel score 3 or 4)

0.48 (0.40–0.58)

< 0.001

 
Abbreviations: CI, confidence interval; OR, odds ratio; PONV, postoperative nausea and vomiting
a Multivariable logistic regression analyses were performed after adjusting for the following variables: PONV risk (low to medium vs. high) or number of prophylactic agent, body mass index, and baseline heart rate ≥ 60 beats/min.
b For each measure, only significant interaction term between the number of prophylactic agent and predicted risk of PONV was included in the final model.
c Interaction analyses for the overall PONV between the baseline PONV risk and number of prophylactic agents were performed.

Discussion

In this study, the baseline heart rate and well-known risk factors of PONV after general anesthesia showed significant associations with the PONV incidence in patients undergoing orthopedic surgery under spinal anesthesia. Additionally, dexamethasone and 5-HT3R antagonist showed significant association with decreased PONV incidence after spinal anesthesia. Furthermore, there was a significant interaction between their combination and high PONV risk, suggesting the need for multimodal PONV prophylaxis in patients with high-risk PONV under spinal anesthesia.

Our result suggested that four risk factors for PONV included in the Apfel score could be still valid for predicting PONV after spinal anesthesia [7]. The recent prospective observational study reported female sex and a history of PONV as significant risk factors for PONV after spinal anesthesia [12]. Although this study did not show a significant association between smoking and PONV incidence due to a lack of smokers [12], our study also showed a significant association between them. The effect of postoperative opioid on PONV after spinal anesthesia could be estimated from previous studies regarding opioid-sparing analgesia in spinal anesthesia [13], and postoperative opioid also showed a significant association with PONV incidence after spinal anesthesia in our study. The predictive power of the Apfel score for PONV after spinal anesthesia should be evaluated through prospective studies.

We also investigated several possible risk factors of PONV in spinal anesthesia, distinguished from general anesthesia [10]. One prospective study reported addition of vasoconstrictor to the local anesthetic, baseline heart rate ≥ 60 beats/min, intraoperative hypotension, and peak block height ≥ T5 as significant risk factors for nausea and vomiting during spinal anesthesia [14]. However, this study investigated only intraoperative nausea and vomiting, not postoperative. In our study, only baseline heart rate ≥ 60 beats/min showed significant association with PONV incidence after spinal anesthesia. Sympathetic blockade by spinal anesthesia causes unopposed vagal effect, contributing to PONV incidence [10]. It can be presumed that unopposed vagal effect caused by spinal anesthesia have been obscured in patients with preoperative bradycardia due to their adaptation to parasympathetic hyperactivity [15]. Intraoperative hypotension has also been known to cause nausea and vomiting during spinal anesthesia via brain stem and gut ischemia [10]. However, considering the short duration of intraoperative hypotension and supplemental oxygen in our patients, it would have been difficult to cause brainstem or gut ischemia enough to cause PONV. Since we did not add vasoconstrictors to local anesthetics, we could not investigate its effect on PONV incidence. Moreover, several sedatives used for intraoperative sedation, such as dexmedetomidine, midazolam, and propofol, have been reported to reduce PONV in general anesthesia [6, 1618]. However, we could not find significant association between intraoperative sedation using dexmedetomidine or midazolam and PONV incidence after spinal anesthesia. A wide variation in dosage of sedatives and duration of its administration in our study might have affected the negative result. Additionally, different from morphine, intrathecal fentanyl has been reported to have no effect on PONV incidence, and our study was also consistent with the previous result [10]. Further studies on the risk factors of PONV in spinal anesthesia are required to better predict PONV after spinal anesthesia.

Our study also highlighted the need for multimodal PONV prophylaxis in spinal anesthesia. To the best of our knowledge, there seems to be limited evidence for multimodal PONV prophylaxis in spinal anesthesia [19, 20]. Previous randomized controlled trial (RCT) reported that the combination of metoclopramide with dexamethasone was more effective in preventing PONV compared to dexamethasone alone [21]. However, this study included patients undergoing general or regional anesthesia [21], and metoclopramide is currently not recommended as a first-line prophylactic agent for PONV [6]. There has also been report of the prophylactic effect of the combination of dexamethasone with droperidol on PONV [22]. However, the use of droperidol is significantly limited in many countries, due to its risk of sudden cardiac death [6]. Another RCT reported that the combination of ondansetron with dexamethasone significantly reduced the incidence of postoperative nausea in patients undergoing cesarean section compared to each single agent [23]. However, this study did not consider other risk factors that could affect the incidence of PONV, and the observation period of the PONV incidence was only during the stay in the recovery room [23]. Although our present study used a retrospective study design, we included a large cohort of patients undergoing spinal anesthesia and also attempted to adjust several risk factors of PONV after spinal anesthesia. In our study, dexamethasone, 5-HT3R antagonist, and their combination showed a significant association with decreased PONV incidence. Furthermore, there was a significant interaction between their combination and high PONV risk, suggesting a significant effect of multimodal PONV prophylaxis, including dexamethasone and 5-HT3R antagonist, in the high-risk group. Therefore, optimal PONV prophylaxis according to the predicted risk of PONV would be required in patients receiving spinal anesthesia.

Our study results should be interpreted cautiously for several reasons. First is the inherent limitation of our study’s retrospective design; unmeasured or unknown covariates could have affected our results. Our data sources lacked important clinical details, such as history of motion sickness and amount of postoperative opioid consumption. Additionally, the reliability of PONV incidence determined from our nursing documentation could have affected our findings. Although PONV incidence was routinely recorded in our institution, mild or transient nausea, which patient did not complained of, was not likely to be recorded in medical records. Second, it is difficult to generalize our findings since our results were obtained from a single institution. Third, we could not include intraoperative PONV incidence in the analysis due to its insufficient records. Further studies are required on the association between intraoperative nausea and vomiting and PONV in spinal anesthesia. Finally, we could not analyze the use of recue antiemetic that could reflect the severity of PONV, due to our routine use of 5-HT3R antagonist on the first day postoperatively. Despite these limitations, to the best of our knowledge, this study is the first to investigate the association between several factors and PONV incidence in a large cohort of patients receiving spinal anesthesia.

Conclusions

In conclusion, we found significant associations between several variables and PONV incidence during the first 24 h after spinal anesthesia. We also found a significant association between multimodal PONV prophylaxis using dexamethasone and 5-HT3R antagonist and a lower PONV incidence in the high-risk group for PONV. Our study highlights the importance of PONV management after spinal anesthesia and is an important reference for future studies regarding PONV after spinal anesthesia.

Abbreviations

5-HT3R: 5-hydroxytryptamine receptor; ASA: American Society of Anesthesiologists; CI: Confidence interval; CSEA: Combined spinal-epidural anesthesia; FNB: Femoral nerve blockade; OR: Odds ratio; PCA: Patient-controlled analgesia; PONV: Postoperative nausea and vomiting; RCT: Randomized controlled trial

Declarations

Ethics approval and consent to participate

The protocols used in this study were approved by the Institutional Review Board of the Seoul National University Hospital on November 24, 2021 (Approval No.: 2111–086–1273), and individual patient consent was waived. This study was performed in accordance with the Declaration of Helsinki and reported following the Strengthening the Reporting of Observational Studies in Epidemiology statement. 

Consent for publication

Not applicable. 

Availability of data and materials

Data are available from the authors upon reasonable request and with permission of the institutional review board of Seoul National University Hospital. 

Competing interests

The authors declare that they have no competing interests. 

Funding

The authors have no sources of funding to declare for this manuscript 

Authors' contributions

JJ contributed to data curation, formal analysis, manuscript preparation, and manuscript revision. JK contributed to data curation. SY contributed to data curation and manuscript revision. Lee H-J contributed to study design, manuscript preparation, and manuscript revision. All authors read and approved the final manuscript. 

Acknowledgements

None 

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