Literature DB >> 30062141

Is weight a predictive risk factor of postoperative tonsillectomy bleed?

Allison G Ordemann1, Anna Jade Hartzog2, Samantha R Seals3, Christopher Spankovich1, Scott P Stringer1.   

Abstract

OBJECTIVE: To determine if a correlation exists between weight-for-age percentile and post-tonsillectomy hemorrhage in the pediatric population. STUDY
DESIGN: Retrospective study.
METHODS: 1418 patients under the age of 15 who underwent tonsillectomy with or without adenoidectomy at a tertiary children's hospital between June 2012 and March 2015 were included in this retrospective study. Patient demographic information, operative and postoperative variables, as well as category and day of postoperative tonsillectomy bleed, if one occurred, were recorded. Fisher's exact and ordinal logistic regression analyses were performed on the full cohort.
RESULTS: The overall post-tonsillectomy hemorrhage prevalence was found to be 2.2%, with primary and secondary rates of 0.78% and 1.34%, respectively. Weight-for-age percentile, sex, indication for or method of tonsillectomy, or postoperative use of NSAIDs, antibiotics or narcotics were not significantly associated with post-tonsillectomy hemorrhage. There was a significant relationship between postoperative use of dexamethasone and higher rate of Category 3 post-tonsillectomy hemorrhage (P = .028).
CONCLUSION: The post-tonsillectomy hemorrhage rate in our study is consistent with that cited in the literature. No correlation was demonstrated between weight-for-age percentile and occurrence of post-tonsillectomy hemorrhage. Postoperative administration of dexamethasone was associated with a significant increased rate of post-tonsillectomy hemorrhage requiring surgical intervention, a novel finding. LEVEL OF EVIDENCE: 4.

Entities:  

Keywords:  Tonsillectomy; hemorrhage; obesity; pediatric; postoperative

Year:  2018        PMID: 30062141      PMCID: PMC6057213          DOI: 10.1002/lio2.155

Source DB:  PubMed          Journal:  Laryngoscope Investig Otolaryngol        ISSN: 2378-8038


INTRODUCTION

Tonsillectomy is one of the most common surgeries in otolaryngology, roughly half a million performed annually in the United States, with a majority of these surgeries performed on children under 15 years old.1, 2 Indications for tonsillectomy can include tonsillitis, peritonsillar abscess, streptococcal carriage, hemorrhagic tonsillitis, tonsillar asymmetry, and obstructive sleep apnea,3 with the last accounting for 80% of tonsillectomy indications currently.4 Despite its common practice, risks are associated with the procedure, including pain, respiratory difficulty, dehydration and bleeding.5 Post‐tonsillectomy hemorrhage (PTH) is one of the most common and concerning risks, accounting for one‐third of complications. However, the cited mortality associated with PTH ranges from 16% to 54% in the literature.6, 7 The incidence of PTH, regardless of primary or secondary bleed status, ranges from 0.12% to 18%.8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 There are numerous studies investigating causative relationships between PTH and the use of perioperative steroids, non‐steroidal anti‐inflammatory drugs (NSAIDS), antibiotics and narcotics, as well as the surgical method, indication, and sex.8, 23, 24, 25, 26 However, the literature lacks adequate studies on the relationship of obesity to PTH. Approximately 35% of adults and 17% of children are obese within the United States.27, 28 To the authors’ knowledge, there has been only one study, from Austria, researching this association, wherein no association between obesity and PTH was found. However, their study, in a country where only 12% of the adult and 7% of the children populations are obese, included both children and adults.9 Obesity is known to result in chronic inflammation. Within the general surgery literature, it has been shown to cause increased rates of surgical complications such as delayed wound healing and infection, leading to higher morbidity and mortality rates.29 With the increasing rate of obesity, in addition to the high number of tonsillectomies performed each year, it is important to study the effects obesity has on post‐tonsillectomy complications, including hemorrhage. Our population is an ideal place to study the relationship of obesity and PTH as Mississippi has one of the highest rates of obesity in the nation.27, 28 Obesity in children is defined as a body mass index (BMI) greater or equal to the 95th percentile for sex and age, while overweight is defined as having a BMI greater or equal to the 85th percentile, but less than the 95th percentile for sex and age.30 Unfortunately, less than 50% of primary care physicians assess BMI regularly in children, citing time constraints as a main barrier.31 Weight stratified for age percentiles can be used as a screening tool for childhood obesity in lieu of BMI. Gamliel et al demonstrated that using the 90th and 75th weight‐for‐age percentile cutoffs for identifying obese and overweight children were highly sensitive, 94.3% and 93.2% respectively, and that these cutoffs corresponded appropriately with BMI in the pediatric population.30 This study aims to elucidate if a correlative relationship exists between weight stratified for age and PTH within the pediatric population. Our null hypothesis was that no correlation exists. Secondarily, we sought to identify if any other modifiable factors previously studied in the literature were predictive of PTH, including perioperative NSAID, narcotic, antibiotic, or steroid use, surgical method, tonsil size, sex, age, resident post‐graduate year or indication.

MATERIALS AND METHODS

Study Setting and Design

This retrospective study was performed at the University of Mississippi Medical Center (UMMC), a tertiary, academic hospital. The Institutional Review Board at University of Mississippi Medical Center (UMMC) approved this study. For the study, 1418 patients under the age of 15 who underwent tonsillectomy with or without adenoidectomy at UMMC between June 2012 and March 2015 were identified for inclusion. No cases meeting inclusion criteria were excluded from the study.

Study Definitions

The category of bleed was divided into Type 1 (reported bleeding), Type 2 (bleeding requiring ER visit/hospitalization) and Type 3 (bleeding requiring control in the operating room). Bleeds were also recorded as primary bleed (within 24 hours of surgery) or secondary bleed (more than 24 hours after surgery).

Data Collection

Charts were reviewed to collect the following data points for each patient: patient age; sex; primary indication for surgery; weight in kilograms; weight percentile for age in accordance to the Center for Disease Control (CDC) guidelines; operation (tonsillectomy +/‐ adenoidectomy); method (Bovie electrocautery, Snare, Coblator); Surgeon; Resident post‐graduate year; tonsil size; adenoid size; prescribed postoperative narcotics, antibiotics, steroids or Carafate; instructions for use of NSAIDS for postoperative pain control; occurrence of PTH; category and day of PTH occurrence if applicable. Operative charts, discharge instructions, postoperative visits, telephone communications and nursing notes were reviewed to gather the above data. All chart reviews were performed by two of the authors, a chief otolaryngology resident (AO) and senior medical student (AJH). The chart reviews were performed together and consecutively over a several day time period to counteract fatigue and variability, respectively. All chart review was overseen by AO. Inter‐rater variability was not felt to be significant due to the obvious objective variables recorded, the short time course in which the review was performed, as well as the limited number of reviewers.

Statistical Analysis

Patient characteristics are shown as median (interquartile range) for continuous variables or n (%) for categorical variables, as the skewedness of the data required nonparametric statistical methods of analysis. Continuous variables are compared using the Wilcoxon two‐sample t‐test approximation and categorical variables are compared using Fisher's exact test. Unadjusted logistic regressions were used to model the relationship between tonsillectomy bleeds and predictors of interest. P‐values less than .05 are considered statistically significant. Analyses were conducted using SAS software, Version 9.4 (SAS Institute, Inc., Cary, North Carolina, U.S.A.).

RESULTS

Demographic Information

Table 1 provides the demographic information of our study population. Sex distribution was fairly equal with a slight male predominance of 53% (748 of 1418). The average age was 5.45 years with a range of 1.26–14.97 years. A majority of the tonsillectomies were performed using Bovie electrocautery (85.4%). Multiple indications were listed for many of the surgeries. Approximately half (50.1%) of the patients received a prescription for postoperative dexamethasone, while three‐quarters received a narcotic prescription. A total of six attending surgeons performed tonsillectomies over this time with the majority of cases (82%) performed or overseen by our fellowship trained pediatric otolaryngologists with participation of 27 residents over the time span. There was no significant difference in bleed rate between different levels of post‐graduate year or attending.
Table 1

Patient Characteristics

CharacteristicOverall n = 1418No Bleed n = 1387Bleed n = 31 P value
Age (y)5.45 (4.1)5.435 (4.1)5.84 (3.7).483
Sex (F)670 (47.2%)656 (47.3%)14 (45.2%).855
Weight‐for‐age %75.255 (52.0)75.57 (51.7)70.6 (65.4).515
OperationT194 (13.7%)185 (13.3%)9 (29.0%).029
AT1224 (86.3%)1202 (86.7%)22 (71.0%)
MethodB1211 (85.4%)1183 (85.3%)28 (90.3%).876
S179 (12.6%)176 (12.7%)3 (9.7%)
C24 (1.7%)24 (1.7%)0 (0.0%)
Adenoid Size1162 (11.4%)160 (11.5%)2 (6.5%).881
2407 (28.7%)401 (28.9%)6 (19.4%)
3407 (28.7%)398 (28.7%)9 (29.0%)
4291 (20.5%)286 (20.6%)5 (16.1%)
Tonsil Size192 (6.5%)90 (6.5%)2 (6.5%).768
2285 (20.1%)279 (20.1%)6 (19.4%)
3557 (39.3%)547 (39.4%)10 (32.3%)
  4481 (33.9%)468 (33.7%)13 (41.9%)  
Postoperative Meds
Antibiotics646 (45.6%)634 (45.7%)12 (38.7%).471
Narcotics1076 (75.9%)1052 (75.8%)24 (77.4%)1.000
NSAID499 (35.2%)488 (35.2%)11 (35.5%)1.000
Steroids710 (50.1%)690 (49.7%)20 (64.5%).145
Surgery Indication
PTA8 (0.6%)8 (0.6%)0 (0.0%)1.000
Tonsillitis500 (35.3%)489 (35.2%)11 (35.4%).550
Hypertrophy1111 (78.3%)1088 (78.4%)23 (74.2%).513
OSA209 (14.7%)206 (14.9%)3 (9.7%).609
PFAPA7 (0.5%)6 (0.4%)1 (3.2%).144
SDB786 (55.4%)766 (55.2%)20 (64.5%).363
Tonsil Asymmetric2 (0.1%)2 (0.1%)0 (0.0%)1.000
Traumatic Laceration1 (0.1%)1 (0.1%)0 (0.0%)1.000
Surgeon PGY 1294 (20.7%)289 (20.8%)5 (0.19%).497
2446 (31.5%)437 (31.5%)9 (33.3%)
371 (5.0%)67 (4.8%)4 (14.8%)
4220 (15.5%)216 (15.6%)4 (14.8%)
5154 (10.9%)151 (10.9%)3 (11.1%)
Attending233 (16.4%)227 (16.4%)6 (22.2%)

AT = adenotonsillectomy; B = Bovie; C = Coblator; OSA = Obstructive Sleep Apnea; PFAPA = Periodic Fever, Aphthous Stomatitis, Pharyngitis, Cervical Adenitis; PTA = peritonsillar abscess; SDB = sleep disturbed breathing; S = Snare (cold steel technique); T = Tonsillectomy.

Patient Characteristics AT = adenotonsillectomy; B = Bovie; C = Coblator; OSA = Obstructive Sleep Apnea; PFAPA = Periodic Fever, Aphthous Stomatitis, Pharyngitis, Cervical Adenitis; PTA = peritonsillar abscess; SDB = sleep disturbed breathing; S = Snare (cold steel technique); T = Tonsillectomy.

Post‐tonsillectomy Hemorrhage Rates

The overall PTH occurrence was found to be 2.2%, with primary and secondary PTH accounting for 0.78% and 1.34%, respectively. PTH by category was 0.71% (n = 10) for Type 1, 0.71% (n = 10) for Type 2, and 0.78% (n = 11) for Type 3.

Association of Variables with Post‐tonsillectomy Hemorrhage

Postoperative dexamethasone use was the only variable that showed a statistically significant relationship with Category 3 PTH (P = .028). Category 1 and 2 bleeds did not show a significant relationship with PTH, P = 0.078 and P = .082, respectively. Overall, patients receiving postoperative dexamethasone were 1.8 times more likely to have a tonsil bleed than those not given dexamethasone, but were 10.1 times more likely to have a tonsil bleed requiring surgical intervention (Category 3), as seen in Tables 2 and 3.
Table 2

Unadjusted Relationships (Logistic Regression).

CharacteristicOdds Ratio (95% CI) P value
SexF 0.89 (0.42, 1.92).775
Weight for Age 1.00 (0.98, 1.01).458
Method (B, S, or C)B 1.06 (0.06, 18.89).773
S 0.69 (0.03, 15.72).687
C ‐ ref ‐‐ ref ‐
Postoperative Medications
Antibiotics0.59 (0.26, 1.33).204
Narcotic use0.91 (0.38, 2.18).838
NSAID use1.26 (0.58, 2.75).553
Steroid use2.40 (1.04, 5.52).039

B = Bovie Electrocautery; C = Coblator; F= Female; S = Snare/Cold steel technique.

Table 3

Unadjusted Relationships (Mulitnomial Logistic Regression).

Category 1Category 2Category 3
CharacteristicOdds Ratio (95% CI) P valueOdds Ratio (95% CI) P valueOdds Ratio (95% CI) P value
Sex (F)0.478 (0.123, 1.854).2860.743 (0.209,2.644).6461.950 (0.568, 6.692).513
Weight for Age0.992 (0.973, 1.011).4170.999 (0.979, 1.019).9030.995 (0.977, 1.014).605
Postoperative Meds
Antibiotics0.509 (0.131 1.977).3290.509 (0.131, 1.977).3291.425 (0.433, 4.692).56
Narcotic use.478 (0.134,1.703).2552.866 (0.362, 22.704).3190.849 (0.224, 3.219).81
NSAID use1.228 (0.345,4.373).7510.790 (0.203, 3.067).7331.053 (0.307, 3.614).935
Steroid use4.041 (.855, 19.095).0780.253 (0.53, 1.0193).08210.101 (1.290, 79.123).028
Unadjusted Relationships (Logistic Regression). B = Bovie Electrocautery; C = Coblator; F= Female; S = Snare/Cold steel technique. Unadjusted Relationships (Mulitnomial Logistic Regression). Increased weight‐for‐age percentile was not associated with PTH. This was true whether the weight for age was treated as a continuous variable or categorized in percentile brackets (0–10%, 19–20%, etc.). Overall, the bleed rate was low and there was no significant difference between surgical methods for ratio of bleeds (P = .657). Similarly, sex, indication for tonsillectomy, or postoperative use of NSAIDs, antibiotics or narcotics were not significantly associated with post‐tonsillectomy hemorrhage, as demonstrated in Table 3.

DISCUSSION

As tonsillectomy is one of the most common operative procedures in children in the United States, many studies have examined major complication rates and the presence of causative factors, following tonsillectomy. While much of the data in the literature is conflicting, these studies are important in order to improve the safety of the procedure as well as limit the cost burden of visits associated with these complications. Recent studies show the rate of unplanned return visit to the hospital following adenotonsillectomy ranged from 6.3–11.4%,12, 13, 32 with PTH accounting for 24.2–37.4% of these visits.13, 14 Curtis et al found the average cost associated with PTH to be $1502.14 Furthermore, PTH is described as one of the most common complications following tonsillectomy resulting in malpractice claims and death, accounting for 33.7% of claims and 52.4% of deaths in one study.7 However, a questionnaire from 2013 distributed through the Academy of Otolaryngology–Head and Neck Surgery showed PTH to be the cause of post‐tonsillectomy mortality only 16% of the time.6 Despite the variability, it is important to note the PTH can often be fatal, and thus remains an important topic of study. The overall PTH occurrence in our study was found to be 2.2%, with primary and secondary PTH accounting for 0.78% and 1.34%, respectively. These rates are comparable to that currently described in the literature of 0.2–2.2%, and 0.1–3%, respectively.2 After observing several consecutive tonsil bleeds in obese children at the authors’ institution, our study aimed to determine if a correlative relationship exists between weight‐for‐age percentile and PTH. It is the only study in the English literature specifically investigating this association. Weight‐for‐age percentile was chosen over BMI as the study variable as it has been shown to be a sensitive screening tool for obesity in children that corresponds well with BMI.30 Furthermore, in our institution, as with most, weight is necessary prior to proceeding with surgery and an accurate measurement is taken on the day of surgery, while height was invariably recorded. We chose to use the CDC weight‐for‐age percentiles in our study and not the World Health Organization (WHO) reference. The decision to do so was based primarily on the current recommendation to use the CDC data for children over the age of 24 months, accounting for 98% of the patients in our study. Furthermore, the WHO curves were created to describe the growth of healthy children under optimal conditions, excluding infants not breastfed for more than 12 months. The CDC data comes from a sample population where only 50% were ever breastfed.33According to the most recent breastfeeding data collected by the CDC, approximately 50.5% of Mississippi children are ever breastfed.34 Therefore, we felt the weight for age percentile would be most accurate using CDC data in our patient population. Our study did not shown a positive correlation between weight‐for‐age percentile and occurrence of post‐tonsillectomy hemorrhage, similar to the previously mentioned study performed in Austria.9 However, ours is the first to demonstrate a lack of correlation in a primarily overweight and obese population, with a median weight‐for‐age percentile of 75.26%. Therefore, our study suggests further precautions in the obese patient population are likely unnecessary, at least in regards to post‐tonsillectomy hemorrhage. We also found no statistically significant correlation between PTH with postoperative use of NSAIDs, antibiotics, narcotics; tonsil or adenoid size; indication; method; resident post‐graduate year; sex or age. In general, the findings in the literature regarding the causative relationship of these variables with PTH is mixed. Our study revealed a statistically significant increased risk of Category 3 PTH on multi‐variate analysis with postoperative administration of dexamethasone. Routine prescription of a single dose of dexamethasone on postoperative day three following tonsillectomy was started at the author's home institution in 2014 in an effort to reduce postoperative pain and dehydration. Routine prescription of narcotics slowed around the same time in response to the Food and Drug Administration's (FDA) black box warning recommending against the prescription of codeine for the management of post‐tonsillectomy pain, secondary to the danger in patient's deemed “ultra‐rapid metabolizers”.35 While 75% of our population received a narcotic prescription, these were skewed toward the beginning of the study period, prior to the FDA warning. The current clinical practice guidelines set forth by the American Academy of Otolaryngology–Head and Neck Surgery in 2011 strongly recommends a single, intraoperative dose of intravenous dexamethasone be given to children undergoing tonsillectomy.2 Of note, it is common practice in our institution to give a single intraoperative dose of dexamethasone, as recommended by the AAO‐HNS. This recommendation was made based on evidence from several randomized controlled trials that have shown a single perioperative dose of dexamethasone serves to significantly lower rates of postoperative nausea and vomiting (PONV), pain and facilitate a quicker return to oral intake, without increasing rates of significant PTH.36, 37 Since the publication of the guideline, Gallagher et al showed support of the guideline in their RCT showing no significantly increased rate of PTH requiring hospitalization or re‐operation following a single perioperative dose of dexamethasone in post‐tonsillectomy children.24 To the author's knowledge, no studies exist examining postoperative use of steroids in tonsillectomy, and thus our finding is novel. However, the authors acknowledge that this finding is both incidental and preliminary given the wide confidence interval and highlights the need for further studies on this manner. In designing our study, inconsistent classification of PTH within the literature was evident with no single accepted method to date. One method categorizes them based on history of bleeding, bleeding requiring direct pressure or electrocautery under local anesthesia, or reoperation under general anesthesia,10 while another substituted “requiring non‐invasive treatment” for historical bleeding as the first category.38 Others studies used Windfuhr and Seehafer's classification which uses five grades of bleeding: spontaneous cessation, infiltration anesthesia, treatment under general anesthesia, ligature of the external carotid artery, and lethal outcome.11 Walner and Karas proposed standardization of a very similar five category system ranging from reported bleed to death.39 We chose our PTH classification based on several factors. One, we wanted to make sure those with reported bleeds were included, as they are not with every classification system. Two, children do not tolerate direct pressure or electrocautery under local anesthesia like adults, and many of the proposed classification systems are based off of the adult population. Three, we felt it pertinent to separate those requiring re‐operation from those requiring hospitalization/ER visit in order to determine a re‐operation rate. Our classification most closely resembled that used in the Gallagher et al RCT, except we included ED visits along with hospitalizations in category 2.24 Future efforts to standardize and gain acceptance of a single PTH classification would help greatly when comparing amongst studies. There are several limitations in our study. First, the overall low prevalence of tonsil bleeds make it difficult to study. The retrospective nature limited the variables studied, and the ability to control for confounders. For instance, postoperative antibiotic use was prescribed to 45% of patients due to surgeon preference prior to 2014. The authors recognize the use of such is not recommended by the AAO‐HNS. Furthermore, recall bias by patients’ families may have influenced the number of reported (Type 1) bleeds at postoperative visits or telephone calls. Additionally, there was a significant number of patients who missed their follow‐up visit or telephone call, though all were given specific postoperative discharge instructions encouraging them to call with any witnessed bleeding. Therefore, we assume a majority of those missed to follow‐up had a normal postoperative course. We can also not control for the possibility that patients presented to another hospital with bleeding; however, as the only academic tertiary care center in the state, these patients are most frequently transferred to our center. Furthermore, we do not know if postoperative medications prescribed were taken as directed, or even filled. Lastly, the decision for re‐operation is a subjective one made by the attending surgeon on‐call, and therefore unable to be controlled in this study.

CONCLUSIONS

The post‐tonsillectomy hemorrhage rate in our study is consistent with that cited in the literature. No correlation was demonstrated between weight‐for‐age percentile and occurrence of post‐tonsillectomy hemorrhage. Postoperative administration of dexamethasone was associated with a significant increased rating of post‐tonsillectomy hemorrhage requiring surgical intervention, a novel finding. Future prospective and larger scale multi‐institutional studies are necessary to investigate the correlation between PTH and additional postoperative steroid use, in light of our results.
  33 in total

1.  Steroids for post-tonsillectomy pain reduction: meta-analysis of randomized controlled trials.

Authors:  Chad E Afman; Jeffrey A Welge; David L Steward
Journal:  Otolaryngol Head Neck Surg       Date:  2006-02       Impact factor: 3.497

Review 2.  Standardization of reporting post-tonsillectomy bleeding.

Authors:  David L Walner; Anatoli Karas
Journal:  Ann Otol Rhinol Laryngol       Date:  2013-04       Impact factor: 1.547

3.  Variation in quality of tonsillectomy perioperative care and revisit rates in children's hospitals.

Authors:  Sanjay Mahant; Ron Keren; Russell Localio; Xianqun Luan; Lihai Song; Samir S Shah; Joel S Tieder; Karen M Wilson; Lisa Elden; Rajendu Srivastava
Journal:  Pediatrics       Date:  2014-01-20       Impact factor: 7.124

4.  Risk factors for post-tonsillectomy hemorrhage.

Authors:  Ryo Ikoma; Sayaka Sakane; Kazutomo Niwa; Sayaka Kanetaka; Toshiro Kawano; Nobuhiko Oridate
Journal:  Auris Nasus Larynx       Date:  2014-03-03       Impact factor: 1.863

5.  Pediatricians' and family physicians' weight-related care of children in the U.S.

Authors:  Terry T-K Huang; Laurel A Borowski; Benmei Liu; Deborah A Galuska; Rachel Ballard-Barbash; Susan Z Yanovski; Deborah H Olster; Audie A Atienza; Ashley Wilder Smith
Journal:  Am J Prev Med       Date:  2011-07       Impact factor: 5.043

Review 6.  Antibiotics to reduce post-tonsillectomy morbidity.

Authors:  Muthuswamy Dhiwakar; W A Clement; Mrinal Supriya; William McKerrow
Journal:  Cochrane Database Syst Rev       Date:  2012-12-12

7.  Post tonsillectomy hemorrhage: who needs intervention?

Authors:  Rajan Arora; Sonal Saraiya; Xun Niu; Ronald L Thomas; Nirupama Kannikeswaran
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2014-12-08       Impact factor: 1.675

8.  Use of World Health Organization and CDC growth charts for children aged 0-59 months in the United States.

Authors:  Laurence M Grummer-Strawn; Chris Reinold; Nancy F Krebs
Journal:  MMWR Recomm Rep       Date:  2010-09-10

9.  Ambulatory surgery in the United States, 2006.

Authors:  Karen A Cullen; Margaret J Hall; Aleksandr Golosinskiy
Journal:  Natl Health Stat Report       Date:  2009-01-28

10.  A 4-year consecutive study of post-tonsillectomy haemorrhage.

Authors:  Per Attner; Per-Olle Haraldsson; Claes Hemlin; Anne-Charlotte Hessén Soderman
Journal:  ORL J Otorhinolaryngol Relat Spec       Date:  2009-10-10       Impact factor: 1.538

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.