Literature DB >> 35620534

Incidence and factors associated with post-anesthesia care unit complications in resource-limited settings: An observational study.

Bisrat Abebe1, Natnael Kifle2, Muluken Gunta3, Temesgen Tantu4, Mekete Wondwosen5, Dereje Zewdu6.   

Abstract

Background and aims: Postoperative complications are frequent encounters in the patients admitted to postanesthesia care units (PACU). The main aim of this study was to assess the incidence of complications and associated factors among surgical patients admitted in limited-resource settings of the PACU.
Methods: This is an observational study of 396 surgical patients admitted to PACU. This study was conducted from February 1 to March 30, 2021, in Ethiopia. Study participants' demographics, anesthesia, and surgery-related parameters, PACU complications, and length of stay in PACU were documented. Multivariate and bivariate logistic regression analyses, the odds ratio (OR), and 95% confidence interval (CI) were calculated. p-value < 0.05 was considered as statistically significant.
Results: The incidence of complications among surgical patients admitted to PACU was 54.8%. Of these, respiratory-related complications and postoperative nausea/vomiting were the most common types of PACU complications. Being a female (adjusted odds ratio [AOR] = 2.928; 95% CI: 1.899-4.512) was significantly associated with an increased risk of developing PACU complications. Duration of anesthesia >4 h (AOR = 5.406; 95% CI: 2.418-12.088) revealed an increased risk of association with PACU complications. The occurrences of intraoperative complications (AOR = 2.238; 95% CI: 0.991-5.056) during surgery were also associated with PACU complications. Patients who develop PACU complications were strongly associated with length of PACU stay for >4 h (AOR = 2.177; 95% CI: 0.741-6.401).
Conclusion: The identified risk factors for complications in surgical patients admitted to PACU are female sex, longer duration of anesthesia, and intraoperative complications occurrences. Patients who developed complications had a long time of stay in PACU. Based on our findings, we recommend the PACU team needs to develop area-specific institutional guidelines and protocols to improve the patients' quality of care and outcomes in PACU.
© 2022 The Authors. Health Science Reports published by Wiley Periodicals LLC.

Entities:  

Keywords:  anesthesia; postanesthesia care unit; postoperative complications

Year:  2022        PMID: 35620534      PMCID: PMC9125872          DOI: 10.1002/hsr2.649

Source DB:  PubMed          Journal:  Health Sci Rep        ISSN: 2398-8835


INTRODUCTION

Postoperative complications in patients admitted to postanesthesia care units (PACU) are frequent encounters and approximately account for 4.25%–37.3%, with severity ranging from trivial to critical incidents. , , , , Complications types may differ in literature for various reasons: however, the most frequently encountered PACU complications were respiratory, cardiovascular, hypothermia, pain, postoperative nausea and vomiting (PONV), and central nervous system‐related adverse events. , , , , , , , According to the review reports of the Anesthesia Closed Claims Project (CCP) database, the leading cause of anesthesia‐related malpractice claims is the breakdown in communication. The operating room (OR), the PACU, and the intensive care unit (ICU) are particularly vulnerable to communication failures between clinicians. Ineffective communication in the PACU affects health‐care expenses, length of hospital stays, unplanned ICU admission, mortality, and morbidity. , , The dearth of interventional studies revealed that the implementation of a checklist decreased the overall medical errors and rate of preventable adverse events in PACU. , , Another study also showed that using the postanesthetic care tool (PACT) improves early detection of patients at risk of deterioration, handover to surgical ward nurses, and reduces health care expenses. Therefore, prevention and management strategies based on implementing standardized handover protocols, proper staffing of well‐trained experts, monitoring devices, and infrastructures to improve the quality of patient care should be a crucial part of safe anesthesia in PACU. , In previously published studies, patient, anesthesia, and surgery‐related risk factors have been identified for PACU complications. Further explorations into the etiology of these complications should help for developing strategies to prevent and manage those critical incidents. The recommendation and guidelines proposed vary considerably between clinical setups in a diverse health context; hence resource‐oriented local solutions to each health system, particularly in resource‐limited settings should be considered. , In a four‐centered study done in Canada, american society of anesthesiology (ASA) physical status, length of anesthesia duration, the occurrence of intraoperative complications, and use of pure spinal or narcotic techniques have been identified as independent single risk factors for PACU complications. On the other hand, the study done in the Philippines revealed that duration of surgery, the occurrence of intraoperative complications, and postoperative complications were identified as significant predictors for the length of stay at PACU. Despite the magnitude of the problem in daily clinical activity, there has been very little or no research examining the incidence and factors associated with PACU complications in sub‐Saharan countries including Ethiopia. The main objective of this study is to evaluate the incidence of complications and associated factors among surgical patients admitted in limited‐resource settings of the PACU.

METHODS AND MATERIALS

Study design, settings, and patients

A hospital‐based observational study was employed from February 01 to May 30, 2021, in St. Paul's millennium medical college and teaching hospital, Ethiopia. This study was reported in line with STROCSS criteria and registered at www.researchregistry.com with research registry UIN: research registry 7482. The study was approved by the St. Paul's hospital ethical clearance committee and informed written consent was obtained from each study participant and/or legal guardians of underage study participants. Confidentiality was assured throughout the research.

Inclusion criteria

During the study period, we included all surgical patients who were admitted to PACU for monitoring and stabilization into this study.

Exclusion criteria

Patients transferred directly from the operation theater to an ICU, ward, or outpatient department were excluded.

Postoperative and postanesthesia care

On the arrival of patients from the OR to the PACU, the responsible nurses applied standard monitoring. Cardiovascular variables (HR, DBP, and SBP) were measured using noninvasive monitoring devices. Respiratory‐related variables (oxygen saturation, breathing pattern, and respiratory rate) were observed using pulse oximetry and clinical observation. Other adverse events (pain, PONV, hypothermia, consciousness level, bleeding from the incision site, and unplanned ICU admission) were monitored. General anesthesia was induced using either intravenous or inhalational anesthetics agents with muscle relaxants to facilitate tracheal intubation. Inhalational agents and opioids were used for the maintenance of anesthesia and analgesia respectively. After the surgery was completed, reversal agents were administered before extubation and transferred to PACU depending on the patients' physiologic status and the clinical judgment of the responsible senior anesthetist. In our setup, the overall activities including staffing and infrastructures provided in PACU are suboptimal compared to the standard of care recommended by the American Society of Anesthesiology. The timing of monitoring and documentation depends on the patients' physiologic status and varied among care providers of the unit. Moreover, there are no standardized pain management protocols and discharge criteria. The unit provides minimal to intermediate care for surgical patients who may require close observation of vital signs, temporary noninvasive ventilation, and hemodynamic support. This single unit is equipped with six beds to provide services for all patients regardless of the age group and type of surgery Nurses are available at all times, and anesthetists/anesthesiologists supervise the overall activities based on patients' conditions. However, the nurses working in our setup didn't receive any kinds of training in PACU. In the institution, there is a lack of a uniform and standardized checklist used for discharging the patients from one department to another; however, each patient admitted to PACU was monitored for a minimum of 1–4 h, and discharged to the respective wards/units. The primary outcome of our study was to estimate the incidence of any complications in patients admitted to PACU. Complications were categorized into respiratory‐related complications (including desaturation, stridor, and wheezing), cardiovascular (hypotension, hypertension, bradycardia, tachycardia, and shock), central nervous system (agitation, deep sedation, seizure, and confusion), and 0ther complications (excessive pain, hypothermia, bleeding from the incision site, reintubation, and unplanned ICU admission). Operational terms of complications are presented in Table 1.
Table 1

Operational definitions of terms

Management
DesaturationOxygen saturation <94% checked by pulse oximetryNoninvasive ventilation
Airway maneuvers
StridorHigh‐pitched sound during inspirationCPAP
WheezingHigh‐pitched sound during expiration
Hypertension:A systolic BP > 160 mmHg for longer than 5 min and/or increased by 20% from baselineFluid restriction
vasodilators
Hypotension:A diastolic BP < 90 mmHg for longer than 5 min and/or decreased by 20% from baselineFluid administration
Vasopressors
TachycardiaHeart rate >100 for adults, different in different pediatric age groupsObservation
BradycardiaHeart rate <60 for adults and less than 80 for childrenOxygen
Atropine
Excessive painMoaning or screaming, writhing in pain at any time in PACU or initial care dominated by pain control or requiring more analgesic than ordered.NSAIDs
Acetaminophen
Weak opioids
ICU admissionUnplanned requirement of ICU admission before discharge from PACUICU care
Re‐intubationUnplanned intubation before discharge from PACUTreating the underlying causes
HypothermiaA temperature <36.5℃Cooling measures
PONVNausea and/vomiting during PACU stayFluid
Metoclopramide
Intraoperative complicationsA patient who developed any cardiovascular, and/or respiratory adverse events (laryngospasm and/or bronchospasm and/or aspiration) and/or significant blood loss.Optimizing and treating the underlying causes
Significant blood lossA total blood loss >30% of an estimated blood volume during the intraoperative periodBlood transfusion

Abbreviations: CPAP, continuous positive airway pressure; ICU, intensive care unit; PACU, postanesthesia care unit; PONV, postoperative nausea and vomiting.

Operational definitions of terms Abbreviations: CPAP, continuous positive airway pressure; ICU, intensive care unit; PACU, postanesthesia care unit; PONV, postoperative nausea and vomiting.

Sample size and sampling techniques

We calculated the sample size from the primary outcome variable by using single population formula, which is the incidence of PACU complications. Since there is no preliminary data in the study setting p = 0.5 (prevalence of PACU complications 50%) was taken for the calculation to get the largest sample size, 95% confidence interval, and 5% margin of error giving us 384 study subjects. Since the studied population in a year is less than 10,000, the corrected sample size formula was used, and the final sample size becomes 396 by adding a 10% attrition rate. A convenient sampling technique was used to select the study participants.

Data collection techniques

We collected our data using a pretested questionnaire by trained 4 PACU nurses and anesthetists data collectors. Demographics and preexisting co‐morbidity variables were documented from the patient medical chart. The occurrences of complications and length of PACU stay were recorded from bedside observation, monitoring devices, and documentation of attending nurses until discharging patients to the respective department. The data were cross‐checked by the principal investigator to ensure accuracy and completeness.

Data analysis

We entered and analyzed data using Statistical Package for Social Sciences (SPSS version 26). We used descriptive statistics to summarize the frequency table, and the standardized residual tests to test the outlier data. Multicollinearity was checked by VIF, tolerance, and confidence index. All independent variables were analyzed using bivariate analysis, and the variables that had an association at a p‐value less than or equal to 25 were entered into a multivariable logistic regression model, and p‐value < 0.05 was considered to be a risk factor for PACU complications during the postoperative period in this study. The results of associated variables were presented as a frequency table, crude, and adjusted odds ratio with a 95% confidence interval. Hosmer Lemeshow test was used to check the goodness of the model, and the model was the best fit with a p‐value of 689.

RESULTS

Demographics and pre‐existing comorbidity characteristics of the study participants

A total of 396 patients admitted to PACU during the study period were enrolled for final analysis. Of these, 204 (51.51%) were males and females accounted for 192 (48.49%). The mean (SD) of the study participants was 38.99 (19.47) with a range of 4 months to 96 years. Regarding the ASA physical status, the majority 305 (77.02%) of patients were ASA class I followed by ASA class II 69 (17.42%) and ≥ASA class III 22 (5.56%). Assessment of preoperative comorbidity revealed that only 94 (23.74%) of patients had pre‐existing comorbidity as shown in Table 2.
Table 2

Demographic characteristics of study participants

VariablesCategoryNumberPercent
SexMale20451.51
Female19648.49
Age group≤5369.1
6–15153.8
16–2910125.5
30–457919.95
46–6012732.05
>60389.6
ASA classification130577.02
26917.42
≥3225.56
Pre‐existing comorbidityNone30276.26
Respiratory92.27
cardio‐vascular system225.55
Neurological30.76
Endocrine (DM)174.3
reto‐viral infection246.06
>1 Comorbidity194.8
Demographic characteristics of study participants

Anesthesia‐related characteristics of study participants

Of all study participants, 296 (74.75%) had received general anesthesia. With regard to the level of anesthesia care providers, 246(62.12%) of the procedures have been performed by residents and anesthetists 150 (37.88%). Cases with intraoperative complications were observed only in 35 (8.34%) patients. The mean (SD) duration of anesthesia and duration of stay in the PACU was 157.88 (86.87) and 170.74 (38.49), respectively (Table 3).
Table 3

Anesthesia‐related characteristics of study participants

Types of anesthesiaGeneral29674.75
Regional6015.15
Combined246.06
monitored anesthesia care164.04
Level of anesthetistAnesthetist15037.88
Resident24662.12
Anesthesia duration (hours)0–2 h17243.43
2–3 h10626.77
3–4 h7719.45
>4 h4110.35
Intraoperative complication presenceYes358.84
No36191.16
Duration of stay in the postanesthesia care unit60–120 min17243.43
120–180 min10626.77
180–240 min7719.45
>240 min4110.35
Anesthesia‐related characteristics of study participants

Surgery‐related characteristics of study participants

The majority of 298 (75.25%) types of surgery were elective, and the rest 98 (24.75) were emergency. Regards to surgical indication by specialty, most of them were general surgery 147 (37.12%), gynecology 44 (11.12%), orthopedics 43 (10.86%), and variety of pediatrics surgery 41 (10.35%). The majority of the surgical procedures have been done in supine position 359 (90.66%). More than two‐thirds of 304 (76.76%) surgical duration were between 0 and 3 h (Table 4).
Table 4

Surgery‐related characteristics of the study participants

VariablesCategoryFrequencyPercent
Types of surgeryElective29875.25
Emergency9824.75
Surgical indication by specialtyGeneral surgery14737.12
Gynecology4411.12
Orthopedics4310.86
Pediatric surgery4110.35
Cardiothoracic153.78
Hepato‐biliary174.3
Uro‐surgery328.08
Neurosurgery297.32
ENT287.07
Position during surgerySupine35990.66
Prone133.28
Lateral112.78
Lithotomy133.28
Surgical time (hours)0–2 h14436.36
2–3 h16040.4
3–4 h6015.15
>4 h328.09
Surgery‐related characteristics of the study participants

Incidence of PACU complications

Of the total study participants admitted to PACU, the total incidence of PACU complications was 217 (54.8%) as shown in Figure 1. Among those, 58 (14.64%) patients had developed more than one complication and only 14 (3.53%) of them had required unplanned reintubation and ICU admission.
Figure 1

Incidence of complications among surgical patients admitted to postanesthesia care units.

Incidence of complications among surgical patients admitted to postanesthesia care units.

Types of PACU complications

With regard to the types of PACU complications, the majority of patients were developed respiratory and airway related adverse events 94 (43.32%) followed by PONV 48 (22.12%), and cardiovascular related adverse events 41 (18.9%) as shown in Table 5.
Table 5

Types of postanesthesia care unit complications of study participants

Types of complicationsFrequencyPercent
Airway and respiratory9443.32
cardio‐vascular system4118.9
Postoperative nausea and vomiting4822.12
central nervous system198.76
Other complications156.9
Types of postanesthesia care unit complications of study participants

Patient, anesthesia, and surgery‐related factors associated with PACU complications among study participants

The results from multiple logistic regressions showed that female sex, prolonged duration of anesthesia, intraoperative complications presence, and length of stay in PACU were found to be statistically significant with PACU complications. Female sex (AOR = 2.570; 95% CI: 1.621–4.075), duration of anesthesia greater than 4 h (AOR = 5.406; 95% CI: 2.418–12.088), intraoperative complications occurrences (AOR = 2.238; 95% CI: 0.991–5.056) and duration of PACU stay > hours 4.538 (2.089–9.857) had shown an association with postoperative complications in PACU (Table 6).
Table 6

Multivariate logistic regression analysis showing factors associated with PACU complications

VariablesCategoryPACU complicationCOR (95% CI)AOR (95% CI) p‐value
NoYes
SexMale1178711<0.001
Female621302.820 (1.870–4.251)2.570 (1.621–4.075)***
Duration of anesthesia hours0–21016911
2–342662.3 (1.404–3.767)2.226 (1.330–3.725)** 0.002
3–426512.871 (1.635–5.041)3.050 (1.690–5.505)*** <0.001
>410314.508 (2.089–9.857)5.406 (2.418–12.088)*** <0.001
Intraoperative complicationNo926110.025
Yes1701912.571 (1.172–5.641)2.238 (0.991–5.056)**
Duration of PACU stay hours1–212611
2–380742.300 (1.404–3.767)1.226 (0.426–3.527)0.242
3–444622.871 (1.635–5.041)1.898 (0.645–5.584)0.054
>443754.538 (2.089–9.857)2.177 (0.741–6.401)** 0.020

Note: Statistically significant

Abbreviations: AOR, adjusted odds ratio; COR, crude odd ratio; PACU, postanesthesia care unit.

p < 0.05

p < 0.001.

Multivariate logistic regression analysis showing factors associated with PACU complications Note: Statistically significant Abbreviations: AOR, adjusted odds ratio; COR, crude odd ratio; PACU, postanesthesia care unit. p < 0.05 p < 0.001.

DISCUSSION

The infrastructure and staffing of PACU in low‐income countries are often substandard; with less equipped monitoring, a limited number of beds, a lack of locally adopted protocols, and trained health care providers. These limitations significantly impact the clinical outcomes of the early postoperative period. With such resource‐constrained environments, standardizing the service became even more crucial to improve the quality of care. , Certainly, it is desirable to adopt prediction tools in surgical patients, when the risk of postoperative complications is high, but, staffing and medical resources of a particular clinical setup should be considered. Developing risk prediction tools is not enough, though. It can be used as a baseline source to develop evidence‐based clinical pathways. Implementing and evaluating the adopted clinical pathway to improve the quality of postoperative care is the key. This study aimed to evaluate the incidence of complications and associated factors among surgical patients admitted in limited‐resource settings of the PACU. In our resource‐constrained setup, there is an inconsistently predefined protocol for management and discharge criteria of patients, that is, no or substandard clinical pathways. Thus, this study can serve to identify problems and find solutions for countries with limited setup. Despite most of the patients being ASA class I without comorbidity, our study has revealed that the overall incidence of postoperative complications in PACU among patients undergoing surgery is 54.6%. In contradiction to our finding, previous studies conducted in different countries using a varied standard of care had reported that only (4.25%–37.3%) of surgical patients had developed PACU complications. , , , This significant discrepancy could be explained by the fact that in our study area there are traditional and inconsistent handover trends, limited nursing staff compared to workload intensity, and medical resources constraints to provide standardized care. By implementing cost‐effective clinical pathways in routine practice, the early identification of structural problems may significantly improve patient care and postoperative outcome. Of all PACU complications, the majorities (17.7%) were respiratory and airway‐related complications. These findings are consistent with previous studies. , , The possible explanation for the high rate of respiratory complications is due to hypoventilation caused by hypo‐active emergence and residual effects of muscle relaxant agents, as most of the participants had undergone surgery with general anesthesia. , In disagreement with our finding, other studies , reported that the majority of PACU complications were cardiovascular‐related. In another study, PONV, , central nervous system, , and pain , were reported as the most common PACU complications. Depending upon the severity of complications, poorly managed events in the early postoperative period can diversely impact the clinical outcome; which may increase the length of hospital stays, unplanned ICU admission, reintubation, and even death. , , Therefore, prevention of critical incidents and provision of evidence‐based care should be an integral role of standard patient care in the PACU. Our study found that female sex, duration of anesthesia, presence of intraoperative complications, and duration of stay in PACU were factors associated with PACU complications. Female patients were more at risk of developing complications than their male counterparts (AOR = 2.570; 95% CI: 1.621–4.075). Similarly, other studies , , , also found that being a female is a risk factor to develop PACU complications. This discrepancy could be explained by the fact that: the higher incidence of PONV and postoperative pain in female patients attributed to the high rate of PACU complications. Provisions of preemptive analgesia and PONV prophylaxis for female patients are crucial to improving postoperative outcomes. , Another factor associated with PACU complications in the present study was the duration of anesthesia. Duration of anesthesia >4 h (AOR = 5.406; 95% CI: 2.418–12.088) and 2–3 h (AOR = 3.050 95% CI: 1.690–5.505) had five‐ and three‐fold risk for developing PACU complications compared to the duration of anesthesia less than or equal to 2 h, respectively. This result is consistent with other studies , , , that reported the risk of developing PACU complications is higher in patients with prolonged duration of anesthesia. The intraoperative complications presence (AOR = 2.238; 95% CI: 0.991–5.056) was a risk factor to predict PACU complications, as revealed by the present study. Different risk factors identified as challenging preoperatively might be strongly associated with intraoperative complications. The occurrences of intraoperative complications increased the likelihood of postoperative morbidity and prolonged hospital stay (6, 7, and 10). Therefore, the identification of risk factors for perioperative complications and adequate optimization should be an integral part of anesthetic management. Inconsistent with our findings, other studies revealed that types of anesthesia, the urgency of surgery, ASA class, preexisting disease, and other factors are associated with PACU complications. The standard of clinical setup, types of surgery performed, level of expertise, available medications, sustainable training, and attention given to the health sector might contribute to the dissimilarity of the findings. The length of stay in PACU greater than 4 h (AOR = 4.538; 95% CI: 2.089–9.857) were strongly correlated with the incidence of PACU complication, our study also observed that patients who encountered PACU complications significantly required a prolonged duration of stay than initially planned compared to patients without complications. ,

The limitation of the study

Our study had some limitations. First, we conducted our study in resource‐limited settings of a single‐center hospital which is difficult to conclude the overall features of the country. Second, this study identified complications that exclusively occurred in PACU and failed to detect any types of postoperative complications experienced by patients after being discharged from PACU. Furthermore, we included mixed population and diversified age groups which might affect the confounding factors.

Strength of the study

This study is prospective and observational used as a primary source of data.

CONCLUSION

The incidence of PACU complications is 54.6% in the present study which is higher than in prior studies done in different countries. Female sex, intraoperative complications occurrence, and duration of anesthesia are found to be independent risk factors for developing PACU complications. Based on the present study's findings, we recommend the PACU team needs to develop area‐specific institutional guidelines and protocols to improve the patient outcomes in PACU. We also recommend the researcher conduct a multi‐centered study on a larger group of patients.

AUTHOR CONTRIBUTIONS

Bisrat Abebe: Conceptualization; data curation; formal analysis; funding acquisition; investigation; methodology; project administration; resources; software; supervision; validation; visualization; writing—original draft; writing—review and editing. Natnael Kifle: Conceptualization; data curation; formal analysis; funding acquisition; investigation; methodology; project administration; resources; software; supervision; validation; visualization; writing—original draft; writing—review and editing. Muluken Gunta: Conceptualization; data curation; formal analysis; funding acquisition; investigation; methodology; project administration; resources; software; supervision; validation; visualization; writing—original draft; writing—review and editing. Temesgen Tantu: Conceptualization; data curation; formal analysis; funding acquisition; investigation; methodology; project administration; resources; software; supervision; validation; visualization; writing—original draft; writing—review and editing. Mekete Wondwosen: Conceptualization; data curation; formal analysis; funding acquisition; investigation; methodology; project administration; resources; software; supervision; validation; visualization; writing—original draft; writing—review and editing. Dereje Zewdu: Conceptualization; data curation; formal analysis; funding acquisition; investigation; methodology; project administration; resources; software; supervision; validation; visualization; writing—original draft; writing—review and editing.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

TRANSPARENCY STATEMENT

Dereje Zewdu affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.
  8 in total

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Authors:  M T Kluger; M F M Bullock
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2.  Variation in hospital mortality associated with inpatient surgery.

Authors:  Amir A Ghaferi; John D Birkmeyer; Justin B Dimick
Journal:  N Engl J Med       Date:  2009-10-01       Impact factor: 91.245

3.  Anaesthetic-related recovery room complications.

Authors:  J Zelcer; D G Wells
Journal:  Anaesth Intensive Care       Date:  1987-05       Impact factor: 1.669

4.  Incidence and factors associated with post-anesthesia care unit complications in resource-limited settings: An observational study.

Authors:  Bisrat Abebe; Natnael Kifle; Muluken Gunta; Temesgen Tantu; Mekete Wondwosen; Dereje Zewdu
Journal:  Health Sci Rep       Date:  2022-05-23

5.  Incidence of complications in the post-anesthesia care unit and associated healthcare utilization in patients undergoing non-cardiac surgery requiring neuromuscular blockade 2005-2013: A single center study.

Authors:  Allan W Belcher; Steve Leung; Barak Cohen; Dongsheng Yang; Edward J Mascha; Alparslan Turan; Leif Saager; Kurt Ruetzler
Journal:  J Clin Anesth       Date:  2017-09-30       Impact factor: 9.452

6.  Anesthesia Duration as an Independent Risk Factor for Early Postoperative Complications in Adults Undergoing Elective ACDF.

Authors:  Kevin Phan; Jun S Kim; Joung Heon Kim; Sulaiman Somani; John Di'Capua; James E Dowdell; Samuel K Cho
Journal:  Global Spine J       Date:  2017-05-31

7.  Effectiveness of wound site infiltration for parturients undergoing elective cesarean section in an Ethiopian hospital: A prospective cohort study.

Authors:  Dereje Zewdu; Temesgen Tantu; Meseret Olana; Diriba Teshome
Journal:  Ann Med Surg (Lond)       Date:  2021-03-29

8.  Survey and management of anaesthesia related complications in PACU.

Authors:  Jafar H Faraj; A R R Vegesna; I N Mudali; M A Khairay; Shaikh Nissar; Muna Alfarhan; Kareema Sabir; Fawkia El-Imam; Lucy Anto; Teofila Go
Journal:  Qatar Med J       Date:  2013-11-01
  8 in total
  1 in total

1.  Incidence and factors associated with post-anesthesia care unit complications in resource-limited settings: An observational study.

Authors:  Bisrat Abebe; Natnael Kifle; Muluken Gunta; Temesgen Tantu; Mekete Wondwosen; Dereje Zewdu
Journal:  Health Sci Rep       Date:  2022-05-23
  1 in total

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