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Predictors of nausea and vomiting risk factors and its relation to anesthesia in a teaching hospital

Subhi Al-Ghanem

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

E-mail : aa

Muayyad Ahmad

Department of Clinical Nursing, School of Nursing, University of Jordan, 11942, Jordan

Ibraheem Qudaisat

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Walid Samarah

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Khaled Al-Zaben

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Sami Abu Halaweh

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Omar Ababneh

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Fathi Abu Masaid

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Fadi Qutishat

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Zaineh Altabari

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Ahmad Obeidat

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Qusai Alamoudi

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

Marwan Zoubi

Department of Anesthesia, Faculty of Medicine, University of Jordan, 11942, Jordan

DOI: 10.15761/TiM.1000171

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Abstract

Purpose: This study was conducted to estimate the incidence of postoperative nausea and vomiting (PONV) and to explore the risk factors that increase the development of PONV.

Methods: A prospective study design was used to observe nausea and vomiting 24 hours postoperatively, over a 6-month period. The study sample was composed of 2,398 patients aged between 1 and 87 years. Chi-square and logistic regression were used to identify the risk factors for predicting PONV.

Results: A total of 747 patients (31.2%) suffered from nausea, and 268 patients (11.2%), suffered from vomiting. Female patients and who received anesthesia more than 60 minutes, nauseated more in the recovery room and 24 hours after surgery. Female patients vomited more in the recovery and later during 24 hours; and those who received anesthesia more than 60 minutes, and who received postoperative opioids have vomited more during 24 hours after surgery. Female gender, postoperative opioids and anesthesia duration more than 60 minutes are predictive risk factors for nausea; while female gender and duration of anesthesia more than 60 minutes are predictive risk factors for vomiting.

Conclusions: Female gender, use of postoperative opioids and duration of anesthesia are the most important predictive risk factors for PONV. Nonsmoking status, previous history of PONV and type of anesthesia were not found as risk factors for PONV.

Key words

anesthesia, nausea, vomiting, risk factors, postoperative

Introduction

Nausea and vomiting are common complications after anesthesia and surgery. The incidence of postoperative nausea and vomiting (PONV) ranges from 20-30%, [1], but this incidence may increase up to 80% in patients with more risk factors and in certain types of surgery [2]. Although most of PONV episodes are mild and transient, possible serious complications may occur [3,4].

Despite the tremendous improvement in anesthesia and surgical techniques and practices, there is still no significant reduction in PONV rate without giving prophylaxis or treatment for this problem [5,6]. In Jordan, there is a paucity of literature on the incidence and risk factors of PONV. Only one study was found, which examined pain score in the correlation with PONV [7]. They found that being female, young age (19-35), and or with body weight 61-80 kg were predictive factors for the increased risk for nausea and vomiting. Therefore, there was a need to conduct this study to get a representative numerical estimate of PONV rate and to analyze predictive risk factors associated with it at our institute under different surgical procedures.

Methods

Design

This study has applied the prospective design to observe the incidence of PONV among the study sample. The study has covered 13 types of surgical procedures in 14 operating theatres over six month’s period in the year 2016.

Sample and setting

The total number of the study participants was 2,398 patients. The study was conducted in a major teaching hospital in Jordan.

Eligibility criteria

In-patients of both genders, with American Society of Anesthesiologists (ASA) 1-3 physical status classifications scheduled to undergo different types of surgery under general or local anesthesia were included. Day-case surgery patients and who were given prophylactic antiemetics were not included in the study. Patients were not pre-medicated before anesthesia and surgery. The anesthetic staff uses their usual practice in the management of patients.

Procedure

The intervals of observations post operatively for nausea and vomiting were in the post anesthesia care unit (PACU) and 24 hours later in surgical wards. The anesthesia residents in the operating theatres completed the items on patient’s characteristics, anesthesia given and surgical procedure and wrote medications for post-operative pain. Nurses in PACU recorded nausea and vomiting events that occurred to patients, retching episodes were considered vomiting and were also recorded by PACU nurses. Twenty-four hours later in the surgical ward, the patients were interviewed for the occurrence of nausea and vomiting or retching by the on-call anesthesia residents. The authors reviewed the questionnaire to ensure completeness of data.

Measures

The patient questionnaire contains items related to patient characteristics; details of anesthetic management and surgery performed, and items on the postoperative outcome related to PONV. The severities of both nausea and vomiting were assessed by counting the number of events per patient that occurred over 24 hours post operatively and graded into 4 levels: 0= none; 1=mild; 2=moderate; 3 or more episode=severe.

Ethical issues

Ethical approval for this study was obtained by the institution review board of the hospital where the study was conducted. The confidentiality and anonymity for all patients and the obtained data are protected.

Statistical analyses

Data were analyzed using Statistical Package for Social Sciences (SPSS) [8].The following factors were analyzed by Chi-square test to see their effect on the incidence of PONV, male and female gender, age of the patients, smoking and nonsmoking status, history of PONV or motion sickness or migraine, the use of postoperative opioids, type of anesthesia given, local or general, the duration of anesthesia administration and the type of surgery performed. Logistic regression was used to predict the risk factors for the development of PONV.

Results

Questionnaires and interviews were completed for 2,398 patients of whom 1,497 were females (62.4%). The age distribution of patients was between 1-87 years, with a mean of 40.68 and standard deviation of 17.68. The number of patients who were regular smokers was 648 of whom 299 were females and 349 were males.20% of female patients in the study were smokers, while 38.7% of the male patients were smokers. Patients with history of previous PONV or motion sickness were only 71 patients. General anesthesia was used in 2184 patients (91.08%), while local anesthesia was used in 214 (8.92%) patients.

Intravenous induction agents used were propofol, and midazolam, inhalational agents used were sevoflurane or isoflurane in oxygen mixed with air, nitrous oxide was not used in this study, the muscle relaxants used were cisatracurium and rocuronium, laryngeal mask airway or endotracheal intubation were used for ventilation. Drugs used in spinal or epidural block were bupivacaine local anesthetic and fentanyl. Postoperative pain was treated by intermittent intravenous or intramuscular injections of pethidine or morphine in 497 patients. Nonsteroidal anti-inflammatory drugs were used in the rest of patients according to their need. The duration of anesthesia was between 20 to 720 minutes with mean of 82.39 and standard deviation of 53.47. Patients distribution according to type of surgical procedures are shown in Table 1.

Table 1. Patient characteristics, anesthetic and surgical data (N=2,398)

Variable

Number

%

Mean

Standard

Deviation

Range

Age (years)

40.68

17.68

 1-87

Duration of anesthesia (minutes)

82.39

53.47

20-720

Gender

Female

1497

62.4

Male

901

37.6

Smoking status

Smoker

648

27

Nonsmoker

1750

73

History of PONV or

migraine or motion sickness

71

3

Type of anesthesia

Propofol, Fentanyl, Isoflurane

2075

85.5

TIVA+,Remifentanil

109

4.6

Spinal and epidural block

190

7.9

Local infiltration with sedation

24

1

Use of postoperative opioids

497

20.7

Types of surgery

Obstetrics and gynecology

570

23.8

General surgery

506

21.1

Ear, nose, & throat

220

9.2

Orthopedics

252

10.5

Urology

287

12

Laparoscopy

303

12.6

Others

260

10.9

+TIVA=Total intravenous anesthesia

747 patients (31.2%) and 268 patients (11.2%) suffered from nausea and vomiting respectively during the study period.

Thirty six percent of nausea episodes and 32% of vomiting episodes occurred in PACU.
Seven and a half percent and 1.6% of patients suffered from severe nausea and vomiting (Table 2). There were no reported complications related to PONV during the study. Ninety four percent of vomiting episodes preceded by nausea.

Table 2. Postoperative nausea and vomiting (PONV) data (N=2,398)

Variable

Nausea

Vomiting

n

%

n

%

Incidence in the PACU~

269

11.2

87

3.6

2-24 hours

478

19.9

181

7.5

Overall incidence

747

31.2

268

11.2

Mild

325

13.6

166

6.9

moderate

242

10.1

63

2.6

Severe

180

7.5

39

1.6

Data are presented as percentage of patients; ~PACU=Post anesthesia care unit

PONV outcome related to patients gender indicate that female patients nauseated 1.9 time more than male patients in the recovery room and 1.8 times within 24 hours after surgery. Patients who were less than 40 years nauseated more in the recovery room, while this was not statistically significant among age groups within 24 hours post operatively.
Nonsmoking status patients, those with history of PONV and type of anesthesia local or general did not show statistical difference in relation to nausea in the recovery room and within 24 hours post operatively. Patients received postoperative opioids nauseated more within 24 hours while patients received anesthesia >60 minute nauseated more in the recovery room and within 24 hours after surgery (Table 3).

Table 3. Nausea occurrence in recovery room and during the 24 hours after surgery (N=2,398)

Nausea

Characteristics

Time

No
n (%)

Yes
n (%)

Chi

Square

Odds

Ratio

Gender

 Male

In Recovery

 832 (92.3)

 69 (7.7)

18.36***

1.86

 Female

 1297 (86.6)

200 (13.4)

 Male

0-24 hours

 688 (76.4)

213 (23.6)

 37.96***

1.79

 Female

963 (64.3)

534 (35.7)

Age

 ≤40

In Recovery

1062 (87.6)

151 (12.4)

3.73*

0.78

 >40

1067 (90.0)

118 (10.0)

 ≤40

0-24 hours

 820 (67.6)

393 (32.4)

1.78

0.89

 >40

 831 (70.1)

354 (29.9)

Smoking

 No

In Recovery

1549 (88.5)

201 (11.5)

0.47

0.9

 Yes

 580 (89.5)

 68 (10.5)

 No

0-24 hours

1196 (68.3)

554 (31.7)

0.77

0.92

 Yes

 455 (70.2)

 193 (29.8)

Previous PONV

 No

In Recovery

2067 (88.8)

260 (11.2)

0.19

1.2

 Yes

 62 (87.3)

 9 (12.7)

 No

0-24 hours

1603 (68.9)

724 (31.1)

0.05

1.06

 Yes

 48 (67.6)

 23 (32.4)

Postop Opioids

 No

In Recovery

1688 (88.8)

213 (11.2)

0.01

1.01

 Yes

 441 (88.7)

 56 (11.3)

 No

0-24 hours

1362 (71.6)

 539 (28.4)

33.47***

1.82

 Yes

 289 (58.1)

 208 (41.9)

Anesthesia

 Local

In Recovery

 193 (90.2)

 21 (9.8)

0.47

1.18

 General

1936 (88.6)

248 (11.4)

 Local

0-24 hours

 150 (70.1)

 64 (29.9)

0.17

1.07

 General

1501 (68.7)

683 (31.3)

Duration of anesthesia

 ≤60

In Recovery

1085 (90.0)

120 (10.0)

3.86*

1.29

 >60

1044 (87.5)

149 (12.5)

 ≤60

0-24 hours

 876 (72.7)

329 (27.3)

16.72***

1.44

 >60

 775 (65.0)

418 (35.0)

*p<.05; **p<.01; ***p<.001

Table 4 indicates that female patients vomited more than male patients in the recovery room and during 24 hours postoperatively. Patients who received anesthesia >60 minute and patients who had opioids in the postoperative period vomited also more than other patients during 24 hours postoperatively but not in the recovery room. Age of patients, smoking status, previous PONV and type of anesthesia did not show statistical difference for vomiting.

Table 4. Vomiting occurrence in recovery room and during the 24 hours after surgery (N=2,398)

Vomiting

Characteristics

Time

No
n (%)

Yes
n (%)

Chi

Square

Odds

Ratio

Gender

 Male

In Recovery

 883 (98.0)

18 (2.0)

10.97***

2.37

 Female

1428 (95.4)

69 (4.6)

 Male

0-24 hours

 832 (92.3)

69 (47.7)

17.99***

1.85

 Female

1298 (86.7)

199 (13.3)

Age (years)

 ≤40

In Recovery

1162 (95.8)

 51 (4.2)

2.33

0.71

 >40

1149 (97.0)

 36 (3.0)

 ≤40

0-24 hours

1074 (88.5)

 139 (11.5)

0.2

0.94

 >40

1056 (89.1)

 129 (10.9)

Smoking

 No

In Recovery

1679 (95.9)

 71 (4.1)

3.41

0.6

 Yes

 632 (97.5)

 16 (2.5)

 No

0-24 hours

1543 (88.2)

207 (11.8)

2.78

0.78

 Yes

 587 (90.6)

 61 (9.4)

Previous PONV

 No

In Recovery

2242 (96.3)

 85 (3.7)

0.14

0.77

 Yes

 69 (97.2)

 2 (2.8)

 No

0-24 hours

2067 (88.8)

260 (11.2)

0.01

1.01

 Yes

 63 (88.7)

 8 (11.3)

Postoperative Opioids

 No

In Recovery

1828 (96.2)

 73 (3.8)

1.18

0.73

 Yes

 483 (97.2)

 14 (2.8)

 No

0-24 hours

1703 (89.6)

198 (10.4)

5.34*

1.41

 Yes

 427 (85.9)

 70 (14.1)

Anesthesia

 Local

In Recovery

 206 (96.3)

8 (3.7)

0.01

0.97

 General

2105 (96.4)

 79 (3.6)

 Local

0-24 hours

 185 (86.4)

 29 (13.6)

1.34

0.78

 General

1945 (89.1)

239 (10.9)

Duration of anesthesia

 ≤60

In Recovery

1167 (96.8)

 38 (3.2)

1.56

1.32

 >60

1144 (95.9)

 49 (4.1)

 ≤60

0-24 hours

1091 (90.5)

 114 (9.5)

7.18**

1.42

 >60

1039 (87.1)

 154 (12.9)

*p<.05; **p<.01; ***p<.001

The logistic model to predict the occurrence of nausea that adequately fitted the data (Hosmer and lemeshow=3.97, 7 degrees of freedom, P=0.80) included seven predictor variables with Chi-square=83.75 (P<0.001). The estimate of variance accounted for the nausea episodes are 3.7% (Cox and Snell) and 5.1% (Nagelkerke)

Three predictors of nausea were significant at p<0.001; female patients, use of postoperative opioids and duration of anesthesia more than 1hour (Table 5).

Table 5. Logistic regression to predict nausea (N=2,398)

Variables

B

SE

Wald

Odds ratio

Gender

 .61

.10

 38.28*

1.84

Age

-.01

.01

2.82

 .99

Smoking

 .01

.11

 .02

1.01

Previous PONV

-.04

.26

 .02

 .96

Postoperative Opioids

 .58

.11

 29.16*

1.78

Anesthesia type

 .07

.16

 .20

1.08

Anesthesia duration

 .35

.09

 14.98*

1.42

*p<.001

The logistic regression model to predict the occurrence of vomiting that adequately fitted the data (Hosmer and lemeshow=5.65, 7 degrees of freedom, P=0.69) included seven predictor variables with Chi-square=29.24 (P<0.001). The estimate of variance accounted for the vomiting episodes are 1.3% (Cox and Snell) and 2.7% (Nagelkerke). Two predictors were significant at P<0.001; female gender, use of postoperative opioids and duration of anesthesia more than 60 minute (Table 6).

Table 6. Logistic regression to predict vomiting (N=2,398)

Variables

B

SE

Wald

Odds ratio

Gender

 .61

.15

 16.28***

 1.83

Age

-.01

.01

 .07

 .99

Smoking

-.14

.16

 .78

 .87

Previous PONV

 -.10

.38

 .07

 .90

Postoperative Opioids

 .31

.15

 4.11*

 1.36

Anesthesia type

-.22

.22

 1.02

 .80

Anesthesia duration

 .33

.13

 6.35**

 1.40

*p<.05; **p<.01; ***p<.001

Comparing the patients according to the types of surgery with the occurrence of nausea (Chi-square=67.21, p <0.001) and vomiting (Chi-square=26.73, P<0.001) based on the adjusted residual value (more than 1.96) for each pair of comparison, the Chi-square was considered significant. Obstetric and gynecologic, orthopedic, urologic and laparoscopic surgery were significant for the occurrence of nausea, while laparoscopic and urologic surgery were significant for the occurrence of vomiting (Table 7).

Table 7. Types of surgery with nausea and vomiting during 24 hours postoperatively (N=2,398)

Types of surgery

Nausea

Vomiting

No
n (%)

Yes
n (%)

No
n (%)

Yes
n (%)

Obstetrics and Gynecology

372 (65.3)

 198 (34.7)*

492 (86.3)

78 (13.7)

General

358 (70.8)

148 (29.2)

452 (89.3)

54 (10.7)

Ear, nose, throat

137 (62.3)

 83 (37.7)

191 (86.8)

29 (13.2)

Orthopedics

189 (75.0)

 63 (25.0)*

229 (90.9)

23 (9.1)

Urology

234 (81.5)

 53 (18.5)*

272 (94.8)

 15 (5.2)*

Laparoscopic

166 (54.8)

 137 (45.2)*

254 (83.8)

 49 (16.2)*

ophthalmology

45 (91.8)

 4 (8.2)

49 (100)

0 (0)

Neurosurgery

51 (72.9)

19 (27.1)

65 (92.9)

5 (7.1)

plastic

42 (60.9)

27 (39.1)

60 (87.0)

 9 (13.0)

vascular

23 (85.2)

 4 (14.8)

26 (96.3)

1 (3.7)

3 (100)

0 (0)

3 (100)

0 (0)

Pediatric

10 (71.4)

 4 (28.6)

11 (78.6)

 3 (21.4)

maxillofacial

21 (75.0)

 7 (25.0)

26 (92.9)

 2 (7.1)

*p<.05

Discussion

The present study showed an overall nausea rate of 31.2%, and a total incidence of vomiting of 11.2%. These rates are comparable with the results that were reported in the meta-analysis and other studies [1,7,9].

Apfel et al. [10] determined that female gender, nonsmoking status, history of PONV or motion sickness and the use of postoperative opioids were strong predictors of PONV. Our findings indicated that female gender, the use of postoperative opioids and duration of anesthesia more than 60 minute are predictors of PONV; while nonsmoking status, previous history of PONV or motion sickness, age of patients, type of anesthesia are not predictors of PONV. Female gender appears to be the most important predictor of PONV as shown in many studies [11,12]. These results emphasize the importance of giving more attention patients postoperatively if the gender is female, and or, the duration of anesthesia is more than 60 minutes, and or patients received postoperative opioids. Furthermore, nonsmoking status in our study was not a significant predictor for PONV, either in recovery room or 24 hours postoperatively, which contradicts Apfel study. We can claim that our sample was large, and patients underwent different types of surgery, thus, smoking history is not a significant factor to be considered for further precautions for both nausea and vomiting postoperatively.

Sample size related to history of PONV in our study was relatively small, however, it was found to be of no predictive value on the occurrence of PONV. This finding is consistent with another study by Stadler et al. [13]. In our survey, nonsmoking status has no predictive value on the occurrence of PONV, which contradict the results of many studies [6,14,15]. Furthermore, these studies showed that smoking decreases the rate of PONV. The exact cause of smoking as a factor reducing the rate of PONV is unknown. Apfel et al. [10] found that nonsmoking status was not a predictive risk of nausea and vomiting after discharge of ambulatory surgery patients (PDNV). This finding could be justified by what Apfel reported that the decreased rate of PONV in smokers was due to immediate withdrawal of nicotine before surgery and not the nicotine itself since application of nicotine patches before surgery increase rate of PONV.

The use of postoperative opioids in our study increased the incidence of PONV. In addition, the use of opioids was found as a predictor for nausea but not vomiting, and this is in accordance with the results of other studies [5,13]. Apfel et al. [16] in a prospectively collected data from two centers to find predictive score system for PONV found that the use of post-operative opioids was the fourth predictive risk factor for the development of PONV. In our sample, we used 1 mg/kg of pethidine or about 75-100 mg in adults and/or 0.1 mg/kg of morphine to treat post-operative pain, and this dose possibly played a major factor for the increase of PONV related to post-operative opioids.

In our study, the type of anesthesia whether local or general were not significant predictors for the occurrence of PONV. For our patients, we did not use nitrous oxide; and propofol was the main anesthetic induction agent that possibly reduced the incidence of PONV related to general anesthesia [15]. Our results related to the effect of anesthesia on rate of PONV contradict the results by Stadler et al. [13] who reported higher incidence of PONV in general anesthesia than local anesthesia. Borgeatet el al. [15] in their review about PONV associated with regional block indicated that the rate of nausea was 21% and vomiting was 11% and these rates were almost similar to our results for PONV, which associated with general anesthesia. Our result was similar to Borgeatet et al. [15] regarding the choice of local anesthesia as it did not affect the rate of PONV; the addition of fentanyl to spinal block did not increase the rate of PONV; and during general anesthesia, the use of propofol and omitting nitrous oxide did narrow the gap between general anesthesia and spinal block in production of PONV. Furthermore, in our study, spinal block for obstetric, orthopedics and urology patients were used in about 90% of patients who had regional block.

Although the age of less than 40 years was found with higher rate of nausea in the PACU, age of the patients in this study was not found to be a significant predictor for PONV. Apfel et al. [17] in their research about the cause of PONV found that young age was the main predictor for vomiting between 2-24 hours postoperatively. In another study, it was found that age of less than 50 years is predictive risk factor for PONV in day case surgery [11].
Type of surgery is widely assumed as a risk factor for PONV [4,18]. In our study, gynecologic and obstetric, orthopedic, urologic and laparoscopic surgery increases the rate of nausea while only laparoscopic and urologic surgery increases both nausea and vomiting. Although many authors [19,20] have pointed out the relationship between type of surgery and PONV, still no sufficient evidence to find a causal relationship between the type of surgery and PONV [7,4].

Apfel et al. [16] in their study to find a risk score to predict PONV, found that type of operation was not a strong independent risk factor for PONV. Some authors believe that type of anesthetic agents or female patients as in laparoscopy surgery were the main factors for the development of PONV rather than the surgery itself. In our patients sample 96% of vomiting episodes was preceded by nausea and there were no complications related to vomiting. Many researchers argued that the difference in the rate and risk factors for PONV could be explained by the physiology of the two events and they recommended that the study of nausea and vomiting should be done on separate endpoints [12,21,22].

In conclusion, this survey supports the clinical impression that PONV incidence is still high despite improvement in anesthetic and surgical care. The female gender, use of postoperative opioids and duration of anesthesia were the main significant risk factors for PONV.

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Editorial Information

Editor-in-Chief

Ying-Fu Chen
Kaohsiung Medical University, Taiwan

Article Type

Research Article

Publication history

Received date: December 21, 2018
Accepted date: January 14, 2019
Published date: January 17, 2019

Copyright

©2019 Al-Ghanem SS. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Al-Ghanem S, Ahmad M, Qudaisat I,Samarah W, Al-Zaben K, et al. (2019) Predictors of nausea and vomiting risk factors and its relation to anesthesia in a teaching hospital. Trends Med 19: DOI: 10.15761/TiM.1000171

Corresponding author

Muayyad Ahmad

Department of Clinical Nursing, School of Nursing, University of Jordan, 11942, Jordan

Table 1. Patient characteristics, anesthetic and surgical data (N=2,398)

Variable

Number

%

Mean

Standard

Deviation

Range

Age (years)

40.68

17.68

 1-87

Duration of anesthesia (minutes)

82.39

53.47

20-720

Gender

Female

1497

62.4

Male

901

37.6

Smoking status

Smoker

648

27

Nonsmoker

1750

73

History of PONV or

migraine or motion sickness

71

3

Type of anesthesia

Propofol, Fentanyl, Isoflurane

2075

85.5

TIVA+,Remifentanil

109

4.6

Spinal and epidural block

190

7.9

Local infiltration with sedation

24

1

Use of postoperative opioids

497

20.7

Types of surgery

Obstetrics and gynecology

570

23.8

General surgery

506

21.1

Ear, nose, & throat

220

9.2

Orthopedics

252

10.5

Urology

287

12

Laparoscopy

303

12.6

Others

260

10.9

+TIVA=Total intravenous anesthesia

Table 2. Postoperative nausea and vomiting (PONV) data (N=2,398)

Variable

Nausea

Vomiting

n

%

n

%

Incidence in the PACU~

269

11.2

87

3.6

2-24 hours

478

19.9

181

7.5

Overall incidence

747

31.2

268

11.2

Mild

325

13.6

166

6.9

moderate

242

10.1

63

2.6

Severe

180

7.5

39

1.6

Data are presented as percentage of patients; ~PACU=Post anesthesia care unit

Table 3. Nausea occurrence in recovery room and during the 24 hours after surgery (N=2,398)

Nausea

Characteristics

Time

No
n (%)

Yes
n (%)

Chi

Square

Odds

Ratio

Gender

 Male

In Recovery

 832 (92.3)

 69 (7.7)

18.36***

1.86

 Female

 1297 (86.6)

200 (13.4)

 Male

0-24 hours

 688 (76.4)

213 (23.6)

 37.96***

1.79

 Female

963 (64.3)

534 (35.7)

Age

 ≤40

In Recovery

1062 (87.6)

151 (12.4)

3.73*

0.78

 >40

1067 (90.0)

118 (10.0)

 ≤40

0-24 hours

 820 (67.6)

393 (32.4)

1.78

0.89

 >40

 831 (70.1)

354 (29.9)

Smoking

 No

In Recovery

1549 (88.5)

201 (11.5)

0.47

0.9

 Yes

 580 (89.5)

 68 (10.5)

 No

0-24 hours

1196 (68.3)

554 (31.7)

0.77

0.92

 Yes

 455 (70.2)

 193 (29.8)

Previous PONV

 No

In Recovery

2067 (88.8)

260 (11.2)

0.19

1.2

 Yes

 62 (87.3)

 9 (12.7)

 No

0-24 hours

1603 (68.9)

724 (31.1)

0.05

1.06

 Yes

 48 (67.6)

 23 (32.4)

Postop Opioids

 No

In Recovery

1688 (88.8)

213 (11.2)

0.01

1.01

 Yes

 441 (88.7)

 56 (11.3)

 No

0-24 hours

1362 (71.6)

 539 (28.4)

33.47***

1.82

 Yes

 289 (58.1)

 208 (41.9)

Anesthesia

 Local

In Recovery

 193 (90.2)

 21 (9.8)

0.47

1.18

 General

1936 (88.6)

248 (11.4)

 Local

0-24 hours

 150 (70.1)

 64 (29.9)

0.17

1.07

 General

1501 (68.7)

683 (31.3)

Duration of anesthesia

 ≤60

In Recovery

1085 (90.0)

120 (10.0)

3.86*

1.29

 >60

1044 (87.5)

149 (12.5)

 ≤60

0-24 hours

 876 (72.7)

329 (27.3)

16.72***

1.44

 >60

 775 (65.0)

418 (35.0)

*p<.05; **p<.01; ***p<.001

Table 4. Vomiting occurrence in recovery room and during the 24 hours after surgery (N=2,398)

Vomiting

Characteristics

Time

No
n (%)

Yes
n (%)

Chi

Square

Odds

Ratio

Gender

 Male

In Recovery

 883 (98.0)

18 (2.0)

10.97***

2.37

 Female

1428 (95.4)

69 (4.6)

 Male

0-24 hours

 832 (92.3)

69 (47.7)

17.99***

1.85

 Female

1298 (86.7)

199 (13.3)

Age (years)

 ≤40

In Recovery

1162 (95.8)

 51 (4.2)

2.33

0.71

 >40

1149 (97.0)

 36 (3.0)

 ≤40

0-24 hours

1074 (88.5)

 139 (11.5)

0.2

0.94

 >40

1056 (89.1)

 129 (10.9)

Smoking

 No

In Recovery

1679 (95.9)

 71 (4.1)

3.41

0.6

 Yes

 632 (97.5)

 16 (2.5)

 No

0-24 hours

1543 (88.2)

207 (11.8)

2.78

0.78

 Yes

 587 (90.6)

 61 (9.4)

Previous PONV

 No

In Recovery

2242 (96.3)

 85 (3.7)

0.14

0.77

 Yes

 69 (97.2)

 2 (2.8)

 No

0-24 hours

2067 (88.8)

260 (11.2)

0.01

1.01

 Yes

 63 (88.7)

 8 (11.3)

Postoperative Opioids

 No

In Recovery

1828 (96.2)

 73 (3.8)

1.18

0.73

 Yes

 483 (97.2)

 14 (2.8)

 No

0-24 hours

1703 (89.6)

198 (10.4)

5.34*

1.41

 Yes

 427 (85.9)

 70 (14.1)

Anesthesia

 Local

In Recovery

 206 (96.3)

8 (3.7)

0.01

0.97

 General

2105 (96.4)

 79 (3.6)

 Local

0-24 hours

 185 (86.4)

 29 (13.6)

1.34

0.78

 General

1945 (89.1)

239 (10.9)

Duration of anesthesia

 ≤60

In Recovery

1167 (96.8)

 38 (3.2)

1.56

1.32

 >60

1144 (95.9)

 49 (4.1)

 ≤60

0-24 hours

1091 (90.5)

 114 (9.5)

7.18**

1.42

 >60

1039 (87.1)

 154 (12.9)

*p<.05; **p<.01; ***p<.001

Table 5. Logistic regression to predict nausea (N=2,398)

Variables

B

SE

Wald

Odds ratio

Gender

 .61

.10

 38.28*

1.84

Age

-.01

.01

2.82

 .99

Smoking

 .01

.11

 .02

1.01

Previous PONV

-.04

.26

 .02

 .96

Postoperative Opioids

 .58

.11

 29.16*

1.78

Anesthesia type

 .07

.16

 .20

1.08

Anesthesia duration

 .35

.09

 14.98*

1.42

*p<.001

Table 6. Logistic regression to predict vomiting (N=2,398)

Variables

B

SE

Wald

Odds ratio

Gender

 .61

.15

 16.28***

 1.83

Age

-.01

.01

 .07

 .99

Smoking

-.14

.16

 .78

 .87

Previous PONV

 -.10

.38

 .07

 .90

Postoperative Opioids

 .31

.15

 4.11*

 1.36

Anesthesia type

-.22

.22

 1.02

 .80

Anesthesia duration

 .33

.13

 6.35**

 1.40

*p<.05; **p<.01; ***p<.001

Table 7. Types of surgery with nausea and vomiting during 24 hours postoperatively (N=2,398)

Types of surgery

Nausea

Vomiting

No
n (%)

Yes
n (%)

No
n (%)

Yes
n (%)

Obstetrics and Gynecology

372 (65.3)

 198 (34.7)*

492 (86.3)

78 (13.7)

General

358 (70.8)

148 (29.2)

452 (89.3)

54 (10.7)

Ear, nose, throat

137 (62.3)

 83 (37.7)

191 (86.8)

29 (13.2)

Orthopedics

189 (75.0)

 63 (25.0)*

229 (90.9)

23 (9.1)

Urology

234 (81.5)

 53 (18.5)*

272 (94.8)

 15 (5.2)*

Laparoscopic

166 (54.8)

 137 (45.2)*

254 (83.8)

 49 (16.2)*

ophthalmology

45 (91.8)

 4 (8.2)

49 (100)

0 (0)

Neurosurgery

51 (72.9)

19 (27.1)

65 (92.9)

5 (7.1)

plastic

42 (60.9)

27 (39.1)

60 (87.0)

 9 (13.0)

vascular

23 (85.2)

 4 (14.8)

26 (96.3)

1 (3.7)

Thoracic

3 (100)

0 (0)

3 (100)

0 (0)

Pediatric

10 (71.4)

 4 (28.6)

11 (78.6)

 3 (21.4)

maxillofacial

21 (75.0)

 7 (25.0)

26 (92.9)

 2 (7.1)

*p<.05