Published online March 1, 2006
PEDIATRICS Vol. 117 No. 3 March 2006, pp. 870-875 (doi:10.1542/peds.2005-1123)
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow P3Rs: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when P3Rs are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via ISI Web of Science (4)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nwomeh, B. C.
Right arrow Articles by Kelleher, K. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nwomeh, B. C.
Right arrow Articles by Kelleher, K. J.
Related Collections
Right arrow Surgery

Racial and Socioeconomic Disparity in Perforated Appendicitis Among Children: Where Is the Problem?

Benedict C. Nwomeh, MDa, Deena J. Chisolm, PhDb, Donna A. Caniano, MDa and Kelly J. Kelleher, MD, MPHb

a Department of Pediatric Surgery
b Office of Clinical Sciences, Columbus Children's Hospital, Columbus, Ohio


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
OBJECTIVE. Significant racial, ethnic, and socioeconomic disparities have been observed in the rates of perforated appendicitis among children, by using large administrative databases. This study evaluated whether these factors had an impact on the care of patients with appendicitis at a major children's hospital with a well-established, comprehensive, primary referral system.

METHODS. A retrospective analysis was performed for all children between the ages of 2 and 20 years who were treated for appendicitis between January 1, 2001, and December 31, 2003. Demographic variables included patient age, gender, race, insurance status, parental educational status, and income level. Coding data were used to identify patients with perforated appendicitis. The use of radiologic imaging was also analyzed.

RESULTS. During the 3-year period, 788 patients were treated for appendicitis. The racial distribution (white: 81%; black: 12%; other: 7%) was consistent with the demographic composition of the local population. The overall perforation rate was 25%, and the rate was significantly greater in the age group of <6 years, compared with older children. However, there were no significant differences in the perforation rate with respect to race, insurance status, educational level, or income status. Rates of radiologic imaging use were similar among all racial and socioeconomic groups.

CONCLUSIONS. Although racial and socioeconomic disparities in the rates of perforated appendicitis among children have been reported, we found no significant evidence for such inequality at our institution. This may reflect improved access, early diagnosis, and referral by primary care physicians in the community. Pooled national and multiple-state administrative databases have been used to highlight persistent disparities in health care. This study illustrates how single-institution data sources can be used to test a local hypothesis generated by national data, with surprisingly different results.


Key Words: appendicitis • outcome • racial disparity • perforation • children

Abbreviations: ICD-9—International Classification of Diseases, Ninth Revision • CT—computed tomography

The negative impact of lower socioeconomic status on health care outcomes is well known. Numerous studies also document the significant health care gaps between ethnic and racial groups even when access-related factors, such as income and insurance status, are controlled. Evidence for the problem of unequal access to health care was highlighted in the landmark report by the Institute of Medicine.1 Although the data used in the Institute of Medicine report were derived almost exclusively from adult patients, there is increasing evidence indicating significant disparities in selected areas of health care among children across different ethnic and racial groups, independent of socioeconomic status.26 This includes recent findings that certain racial, ethnic, and immigrant groups are at increased risk of perforated appendicitis.79

Acute appendicitis is considered an ideal subject of investigation regarding health care disparities because it is characterized by a consistent natural history, a single definitive treatment (appendectomy), a distinct negative outcome (perforation), and an absence of known biological predisposition to perforation in any racial or ethnic group.7,10 Indeed, perforated appendicitis is considered to be a sentinel marker for access to emergency care for time-dependent conditions.7,11,12 Therefore, a thorough understanding of factors contributing to higher rates of perforated appendicitis is crucial in the effort to promote equal access to health care.

Socioeconomic factors, such as lower incomes, lack of insurance, or public payer status, may be associated with increased perforation rates by reducing timely access to hospital care.1218 At the inpatient hospital level, diagnostic delay and inappropriate initial care lead to increased rates of perforation.19,20 For disadvantaged minority populations, the effects of race and ethnicity may be additive with lower socioeconomic status in reducing access to timely care.

Many published studies demonstrating racial and ethnic disparities in appendicitis and other health care issues have relied on large administrative databases accrued from multiple institutions, regions, and states. Because of well-known methodologic problems with pooled administrative data, we embarked on this analysis to determine whether there are ethnic disparities in the assessment and treatment of children presenting with acute appendicitis in our institution.


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
This study was conducted by using a retrospective observational design to assess the extent of differences in appendicitis perforation rates according to race and socioeconomic status. The study population included patients between the ages of 2 and 20 years who underwent appendectomies (International Classification of Diseases, Ninth Revision [ICD-9] procedure code 47.01 or 47.09) at Children's Hospital (Columbus, OH) between January 1, 2001, and December 31, 2003. All patients who underwent incidental appendectomies (code 47.1X) were excluded. This study was approved by the Children's Research Institute institutional review board.

The outcome of interest was complicated appendicitis, which included cases associated with perforation, gangrene, or peritonitis (ICD-9 diagnosis code 540.0 or 569.5), peritoneal or intestinal abscess (code 540.1 or 569.5), acute, chronic, or unspecified parametritis or pelvic cellulitis (code 614.3 or 614.4), other cellulitis or abscess, trunk (code 682.2), or other postoperative infection (code 998.59). This coding is consistent with that used in other administrative data-based appendectomy research.7,8,21 As in other studies, for simplicity we refer to all cases meeting these criteria as "perforated."

Independent variables extracted from the administrative data included patient age (<5, 5–12, or 13–20 years), race (white, black, or other), and payer (commercial, Medicaid, or other). With each patient's zip code, US Census data22 were used to estimate household income and parents' educational attainment. Zip code median incomes were categorized as high (<5% below the poverty level), moderate (5–15% below the poverty level), or low (>15% below the poverty level), and zip code median educational achievements were categorized as low (<25% post-high school education), moderate (25–50% post-high school education), or high (>50% post-high school education).

One health care delivery variable of interest was the use of imaging. In our institution, the use of radiologic imaging, especially ultrasonography and computed tomography (CT), for the diagnosis of appendicitis is ~60%.23 Because radiologic imaging has become a vital component of care for these patients, we investigated whether its use varied among the different racial or socioeconomic groups. Using charge code data, we identified all appendectomy-related imaging received by patients. Use of imaging was then categorized as none, abdominal CT scans only, abdominal radiographs only, abdominal radiographs and CT scans, or other (including use of ultrasonography and fluoroscopy).

Analyses of univariate effects were tested with {chi}2 tests. A multivariate model testing the effect of a variable in the presence of potential confounders was developed with logistic regression. Statistical significance was assigned at P < .05.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
The study population included 788 patients who underwent appendectomies in the 2-year period. Sixty percent of the patients were between the ages of 6 and 12 years. Most (74%) were covered by commercial insurance, whereas 21% were covered by Medicaid. Consistent with the Franklin County, Ohio, population from which most patients were drawn, 81% of patients were white. Table 1 provides a complete sociodemographic description of the study population.


View this table:
[in this window]
[in a new window]
 
TABLE 1 Sociodemographic Characteristics of Study Population

 
Table 1 also presents appendix perforation rates according to sociodemographic category. The overall perforation rate for the study population was 25.4%. More than 97% of perforations were coded as either acute appendicitis with generalized peritonitis or acute appendicitis with peritoneal abscess (ICD-9 codes 540.0 and 540.1). The additional diagnostic codes (codes 614.3, 614.4, 682.2, and 998.59) yielded only 7 additional cases. Univariate analysis showed age to be associated strongly with perforation, with children <6 years of age having higher perforation rates (P = .0002). Perforation rates were not statistically different (P = .073) among racial and ethnic groups, although rates tended to be lower for the white population (23.7%), followed by the black population with 30.1% and the other nonwhite population with 35.6%. No significant differences in perforation rates were observed according to payer category, poverty, or educational level of parents.

Use of imaging was associated strongly with perforation. Overall, some form of radiologic imaging was conducted in 71% of cases. The imaging rate increased to 82% when the analysis was limited to children with perforated appendicitis. Patients with perforated appendicitis were also more likely than patients with nonperforated appendicitis to undergo multiple types of imaging. More than 1 type of imaging was performed in 28.6% of nonperforated cases, compared with 43% of perforated cases. No relationship was found between the use of imaging and race ({chi}2 = 8.88, P = .35) (Table 2).


View this table:
[in this window]
[in a new window]
 
TABLE 2 Use of Imaging According to Race

 
With control for variables found to be significant in the univariate analyses with a logistic regression model, only imaging use and age remained significant. Controlling for age and extent of imaging eliminated the marginal significance of race seen in the univariate analysis (Table 3).


View this table:
[in this window]
[in a new window]
 
TABLE 3 Logistic Regression Model

 

    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
The principal finding from this study was that the outcomes of children treated for appendicitis in our institution were not associated statistically with race, socioeconomic status, or insurance coverage. Although race showed a nonsignificant trend toward disparity, no such trend was seen in measures of payer, median zip code education, or median zip code income. This might be surprising, because much of the available evidence supports the notion that children from minority and low-income groups are at significantly greater risk of perforated appendicitis, compared with white children.7,8 Racial disparity has also been found in several other aspects of pediatric care.4,24,25 In addition, several studies have shown that disadvantaged population groups may be subject to inferior outcomes based not only on race but also on poor income and insurance status.10,13,26 There have been a number of studies, however, in which outcomes were not correlated with race or socioeconomic status.6,2729

Whether inequalities exist in the care of children with appendicitis is an important question because perforated appendicitis is considered to be a sentinel marker for access to emergency care for time-dependent conditions.7,11,12 Therefore, a higher rate of appendiceal perforation for a particular demographic group could indicate inferior access to care, which might have implications for health policy. Studies that report large disparities based on race and socioeconomic factors often are those that use large administrative databases that reflect a larger population base. Pooled data, however, obscure regional differences in outcomes. For example, the recent report by Ponsky et al8 that showed significant racial disparities in the rates of appendiceal rupture included data from 30 institutions, including our hospital. Although data from the present study showed no effect of race, socioeconomic status, or insurance coverage, disparities in care in other communities may exist to a much greater degree, affecting the pooled results with large databases. However, such extreme outcomes can be revealed only through discrete analyses of regional data.

Other factors associated with higher rates of perforation in this study were younger age and use of >1 type of imaging. The finding of a higher rate of perforation (41.9%) among children <6 years of age is a well-established characteristic of this disease. Even when racial or other disparities were detected in previous studies, higher perforation rates among younger children were consistent findings.7,8,13,21 In addition, we were not surprised at the finding that higher perforation rates were associated with greater use of radiologic imaging. For the past 5 years, an appendicitis clinical pathway that advocates the use of ultrasonography or CT when perforation is suspected has been implemented in our institution. Detection of perforation, especially in association with intraabdominal abscess, has allowed us to use an initial nonoperative approach followed by interval appendectomy for a selected group of patients. With this protocol, we reported recently that ~60% of children being evaluated for appendicitis in our institution underwent either ultrasonography or CT.23 A recent survey of North American pediatric surgeons also found that >90% of respondents routinely obtained either ultrasound or CT scans when there was suspicion of perforated appendicitis.30

One major limitation of this study was that the sample size analyzed did not provide adequate power to detect a difference of the magnitude found here. The sample size in our study was sufficient only to detect a black/white perforation rate difference of 15%, rather than the 6.4% found, assuming power of 0.80 and significance of .05. Because cases among white patients are accrued at a rate of nearly 7:1, compared with cases among black patients, a very long follow-up period (in which patterns of care might not be stable) would be required to obtain the power to detect small differences. Therefore, our lack of significance in racial disparity might have been in part a result of lack of power. This is likely the reason why most researchers have focused on the use of large, multiple-institution, administrative databases for disparity studies. A second major limitation of this study was that determination of perforation was based on hospital discharge coding data, which in turn relied on the surgeon's diagnosis at the time of surgery. The accuracy of our data would have been improved with confirmation of the final histopathologic diagnoses. This limitation applies to all studies that depend on the analysis of single-institution or pooled administrative databases and was highlighted in a recent report.31 A third limitation was that racial identification of patients in our database was somewhat problematic. Hospital admitting clerks are trained to ask patients directly about their race; however, we understand that, because of the sensitive nature of the question, some clerks guess race on the basis of appearance or surname. The extent and direction of misclassification at our institution are not known but we think they are small, because our study's racial distribution was consistent with that of our primary service area. Finally, our finding of no racial or socioeconomic disparity in the outcomes for childhood appendicitis may not reflect the situation in other communities. The racial distribution (white: 81%; black: 12%; other: 7%) of our patients is consistent with the demographic composition of the local population, which in turn is similar to that of the United States as a whole. Our institution is the only major children's hospital in central Ohio and has one of the largest pediatric primary care networks in the United States, with 1 primary care center on the hospital campus and 8 off-site "close to home" physician care centers. These close to home centers have been strategically located to extend the point of care to traditionally disadvantaged communities. Referral for pediatric surgical care is facilitated by direct communication between all regional pediatricians and an on-call pediatric surgeon on a 24-hour basis. The relatively easy access to specialist pediatric surgical care for all children, irrespective of insurance status and socioeconomic level, may be partly responsible for the absence of racial or socioeconomic disparity found in this study. Similar comprehensive centers exist throughout the nation, and their data may be similar to ours.

This study highlights the importance of recognizing that, although national data may suggest a broad trend toward disparate care for a given condition, the unique characteristics of any individual institution or system (eg, referral network, patient population, or on-going quality activities) may yield quite different results. Unfortunately, the cost associated with performing local analyses often prevents providers from conducting their own research, leaving facilities with the options of acting on national data, which may not apply to them, or not acting at all. This project illustrates how single-institution data sources can be used, relatively inexpensively, to test a local hypothesis generated by national data. Although these data do not contain all of the clinical detail required to describe the intricacy of clinical decision-making, they do serve to identify areas in which to focus research and areas in which no problem seems to exist. The usefulness of any administrative data system is limited by the quality, completeness, comprehensiveness, and accessibility of the available data and the availability of information systems staff members with the time and skills required to complete analyses such as those presented here.

An analysis such as this is not without cost. Databases must be created or linked if a comprehensive data warehouse is not already in place, and appropriately skilled staff members must be hired or diverted from other projects. Each institution must consider its own strategic, financial, and quality goals and set analytic priorities appropriately. We think that conducting local analyses is most cost-efficient when the result can be used to inform or to target major quality improvement efforts that require large investments of time and money. In such cases, the cost of conducting local analyses may be offset by the cost savings associated with implementing a more appropriately targeted program.


    CONCLUSIONS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
The major lesson from this study is that, although pooled administrative databases may be useful in highlighting broad indicators of health care quality, caution should be applied when using such data in formulating local health care policies. Whenever possible, local data should be examined to confirm research findings from pooled administrative databases. This study also indicates that efforts to eliminate racial and socioeconomic disparities in health care may already be yielding positive results.


    FOOTNOTES
 
Accepted Aug 10, 2005.

Address correspondence to Benedict C. Nwomeh, MD, Department of Pediatric Surgery, Columbus Children's Hospital, 700 Children's Dr, Suite ED379, Columbus, OH 43205. E-mail: nwomehbe{at}chi.osu.edu

The authors have indicated they have no financial relationships relevant to this article to disclose.


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 

  1. Nelson AR. Unequal treatment: report of the Institute of Medicine on racial and ethnic disparities in healthcare. Ann Thorac Surg. 2003;76 :S1377 –S1381[Free Full Text]
  2. Ali S, Osberg JS. Differences in follow-up visits between African American and white Medicaid children hospitalized with asthma. J Health Care Poor Underserved. 1997;8 :83 –98[ISI][Medline]
  3. Lieu TA, Lozano P, Finkelstein JA, et al. Racial/ethnic variation in asthma status and management practices among children in managed Medicaid. Pediatrics. 2002;109 :857 –865[Abstract/Free Full Text]
  4. Tamayo-Sarver JH, Hinze SW, Cydulka RK, Baker DW. Racial and ethnic disparities in emergency department analgesic prescription. Am J Public Health. 2003;93 :2067 –2073[Abstract/Free Full Text]
  5. Elster A, Jarosik J, VanGeest J, Fleming M. Racial and ethnic disparities in health care for adolescents: a systematic review of the literature. Arch Pediatr Adolesc Med. 2003;157 :867 –874[Abstract/Free Full Text]
  6. Yen K, Kim M, Stremski ES, Gorelick MH. Effect of ethnicity and race on the use of pain medications in children with long bone fractures in the emergency department. Ann Emerg Med. 2003;42 :41 –47[CrossRef][ISI][Medline]
  7. Guagliardo MF, Teach SJ, Huang ZJ, Chamberlain JM, Joseph JG. Racial and ethnic disparities in pediatric appendicitis rupture rate. Acad Emerg Med. 2003;10 :1218 –1227[CrossRef][ISI][Medline]
  8. Ponsky TA, Huang ZJ, Kittle K, et al. Hospital- and patient-level characteristics and the risk of appendiceal rupture and negative appendectomy in children. JAMA. 2004;292 :1977 –1982[Abstract/Free Full Text]
  9. Smink DS, Fishman SJ, Kleinman K, Finkelstein JA. Effects of race, insurance status, and hospital volume on perforated appendicitis in children. Pediatrics. 2005;115 :920 –925[Abstract/Free Full Text]
  10. Weissman JS, Gatsonis C, Epstein AM. Rates of avoidable hospitalization by insurance status in Massachusetts and Maryland. JAMA. 1992;268 :2388 –2394[Abstract]
  11. Auble TE. Are outpatient admission sources truly a risk factor for appendiceal rupture? Acad Emerg Med. 1999;6 :579 –580[ISI][Medline]
  12. Gadomski A, Jenkins P. Ruptured appendicitis among children as an indicator of access to care. Health Serv Res. 2001;36 :129 –142[ISI][Medline]
  13. Bratton SL, Haberkern CM, Waldhausen JH. Acute appendicitis risks of complications: age and Medicaid insurance. Pediatrics. 2000;106 :75 –78[Abstract/Free Full Text]
  14. Braveman P, Schaaf VM, Egerter S, Bennett T, Schecter W. Insurance-related differences in the risk of ruptured appendix. N Engl J Med. 1994;331 :444 –449[Abstract/Free Full Text]
  15. Adolph VR, Falterman KW. Appendicitis in children in the managed care era. J Pediatr Surg 1996;31 :1035 –1036[CrossRef][ISI][Medline]
  16. O'Toole SJ, Karamanoukian HL, Allen JE, et al. Insurance-related differences in the presentation of pediatric appendicitis. J Pediatr Surg. 1996;31 :1032 –1034[CrossRef][ISI][Medline]
  17. Krasna IH. Abdominal pain and appendicitis: is there a difference in referrals between HMO pediatricians and private pediatricians? J Pediatr Surg. 2000;35 :1084 –1086[CrossRef][ISI][Medline]
  18. Schweitzer J, Fairman N, Schreyer K, Waxman K. Appendicitis, 2002: relationship between payors and outcome. Am Surg. 2003;69 :902 –908[ISI][Medline]
  19. Brender JD, Marcuse EK, Koepsell TD, Hatch EI. Childhood appendicitis: factors associated with perforation. Pediatrics. 1985;76 :301 –306[Abstract/Free Full Text]
  20. Cappendijk VC, Hazebroek FW. The impact of diagnostic delay on the course of acute appendicitis. Arch Dis Child. 2000;83 :64 –66[Abstract/Free Full Text]
  21. Buckley RG, Distefan J, Gubler KD, Slymen D. The risk of appendiceal rupture based on hospital admission source. Acad Emerg Med. 1999;6 :596 –601[ISI][Medline]
  22. US Census Bureau. Census 2000 Summary File 3 Washington, DC: US Census Bureau; 2004
  23. Martin AE, Vollman D, Adler B, Caniano DA. CT scans may not reduce the negative appendectomy rate in children. J Pediatr Surg. 2004;39 :886 –890[CrossRef][ISI][Medline]
  24. Dominguez SR, Parrott JS, Lauderdale DS, Daum RS. On-time immunization rates among children who enter Chicago public schools. Pediatrics. 2004;114(6) . Available at: www.pediatrics.org/cgi/content/full/114/6/e741
  25. Vernacchio L, Lesko SM, Vezina RM, et al. Racial/ethnic disparities in the diagnosis of otitis media in infancy. Int J Pediatr Otorhinolaryngol. 2004;68 :795 –804[CrossRef][ISI][Medline]
  26. Guller U, Jain N, Curtis LH, Oertli D, Heberer M, Pietrobon R. Insurance status and race represent independent predictors of undergoing laparoscopic surgery for appendicitis: secondary data analysis of 145,546 patients. J Am Coll Surg. 2004;199 :567 –575[CrossRef][ISI][Medline]
  27. Stein PD, Hull RD, Patel KC, et al. Venous thromboembolic disease: comparison of the diagnostic process in blacks and whites. Arch Intern Med. 2003;163 :1843 –1848[Abstract/Free Full Text]
  28. Moore DE, Feurer ID, Rodgers S Jr, et al. Is there racial disparity in outcomes after solid organ transplantation? Am J Surg. 2004;188 :571 –574[CrossRef][ISI][Medline]
  29. Fisher DA, Dougherty K, Martin C, Galanko J, Provenzale D, Sandler RS. Race and colorectal cancer screening: a population-based study in North Carolina. N C Med J. 2004;65 :12 –15[Medline]
  30. Chen C, Botelho C, Cooper A, Hibberd P, Parsons SK. Current practice patterns in the treatment of perforated appendicitis in children. J Am Coll Surg. 2003;196 :212 –221[CrossRef][ISI][Medline]
  31. Flum DR, Koepsell TD. Evaluating diagnostic accuracy in appendicitis using administrative data. J Surg Res. 2005;123 :257 –261[CrossRef][ISI][Medline]

PEDIATRICS (ISSN 1098-4275). ©2006 by the American Academy of Pediatrics



This article has been cited by other articles:


Home page
CLIN PEDIATRHome page
H. G. Herrod and C. F. Chang
Potentially Avoidable Pediatric Hospitalizations as Defined by the Agency for Healthcare Research and Quality: What Do They Tell Us About Disparities in Child Health?
Clinical Pediatrics, March 1, 2008; 47(2): 128 - 136.
[Abstract] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow P3Rs: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when P3Rs are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via ISI Web of Science (4)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nwomeh, B. C.
Right arrow Articles by Kelleher, K. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nwomeh, B. C.
Right arrow Articles by Kelleher, K. J.
Related Collections
Right arrow Surgery