Sage Journals: Discover world-class research

Abstract

Purpose

Forearm fractures are one of the most commonly sustained injuries in children and are often treated non-operatively. The purpose of this study was to estimate the rate of inpatient surgical treatment of paediatric forearm fractures over time using a large, publicly available, national database.

Methods

The Healthcare Cost and Utilization Project (HCUP) Kids’ Inpatient Database (KID) was evaluated between 2000 and 2012. Forearm fractures and surgeries were identified using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9 CM) diagnosis and procedure codes. Univariable and multivariable logistic regression were used to determine variables associated with greater proportion of surgical treatment. All statistical analyses were performed using SAS statistical software v.9.4 (SAS Institute Inc., Cary, NC, USA). Statistical significance was set at p < 0.05.

Results

The database identified 30 936 forearm fracture admissions. Overall, 19 837 of these patients were treated surgically (64.12%). The percentage of patients treated with surgery increased from 59.3% in 2000 to 70.0% in 2012 (p < 0.001). Multivariable regression analysis found increased age (p < 0.001), more recent year (p < 0.001), male gender (p = 0.003) and admission to a children's hospital (p < 0.001) were associated with an increased proportion of patients receiving surgical treatment. Medicaid payer status was associated with a lower proportion of surgical treatment (p < 0.001).

Conclusions

The rate of operative treatment for paediatric forearm fractures admitted to the hospital increased over time. Increased surgical rates were associated with older age, male gender, treatment at a children's hospital and non-Medicaid insurance status.

Keywords

trauma upper extremity fixation children

Introduction

Forearm fractures are one of the most common injuries in the paediatric population, estimated to occur at a rate of approximately 560 per 100 000 in the 5 to 14 years age group.¹ Historically, a majority these injuries have been managed non-operatively due to the high remodelling potential in paediatric patients. This is in contrast to adult patients in whom these injuries are typically considered ‘fractures of necessity’ with regards to the need for operative intervention.

Recent literature has highlighted the increased rate of operative treatment for certain paediatric fractures.^2,3 Paediatric forearm fractures, in particular, have seen an increased rate of surgical treatment despite the lack of comparative studies showing a clear benefit over non-operative treatment.^4,5 In this study, we used The Healthcare Cost and Utilization Project (HCUP) Kids’ Inpatient Database (KID)⁶ to examine national trends in paediatric forearm fracture management in the United States. We hypothesised that there would be an increasing rate of surgical intervention in more recent years and that the rates of surgical intervention would increase with patient age and other demographic factors.

Patients and methods

Data collection

We used the HCUP-KID⁶ to examine trends in forearm fracture management in the United States between 2000 and 2012. The HCUP-KID is the largest publicly available all-payer paediatric inpatient database that is compiled based on two to three million hospital stays.⁶ The database is a result of the data collected in the 46 states that have partnered with the Agency for Healthcare Research and Quality and maintain state-wide data collection efforts. The database is a sample of all discharges of all hospitals in participating states. The large sample size generates data that is generalisable to the national inpatient paediatric population.

Paediatric forearm (radius and ulna shaft) fractures were identified using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9 CM) diagnosis codes. ICD-9 CM procedure codes were used to identify patients who received surgical treatment for the years between 2000 and 2012 (Table 1). Open fracture diagnosis codes and distal or proximal radius/ulna fractures were excluded. Demographic data collected included gender, age (stratified age from 0 to 4, 5 to 9, 10 to 14, 15 to 20 years) and insurance status (Medicaid, private, self-pay, other). Hospital-related data collected included hospital type (children's or general hospital) and region (Northeast, Midwest, South, West).

Table 1.

ICD-9 diagnosis and procedure codes queried.

ICD-9 Diagnosis Codes	Description
81320	FX SHAFT FOREARM NOS-CLOSED
81321	FX RADIUS SHAFT-CLOSED
81322	FX ULNA SHAFT-CLOSED
81323	FX SHAF RAD W ULNA-CLOSED
81380	FX FOREARM NOS-CLOSED
81383	FX RADIUS W ULNA NOS-CLOSED

ICD-9 Procedure Codes	Description
75.83	INTERNAL FIXATION OF BONE WITHOUT FRACTURE REDUCTION, RADIUS AND ULNA	Surgery group
79.12	CLOSED REDUCTION OF FRACTURE WITH INTERNAL FIXATION, RADIUS AND ULNA
79.32	OPEN REDUCTION OF FRACTURE WITH INTERNAL FIXATION, RADIUS AND ULNA
79.22	OPEN REDUCTION OF FRACTURE WITHOUT INTERNAL FIXATION, RADIUS AND ULNA
79.02	CLOSED REDUCTION OF FRACTURE WITHOUT INTERNAL FIXATION, RADIUS AND ULNA	No Surgery group

Statistical Analysis

Univariable and multivariable logistic regression was used to determine variables associated with greater proportion of surgical treatment. All statistical analyses were performed using SAS statistical software v.9.4 (SAS Institute, Inc. Cary, NC, USA). Statistical significance was set at p < 0.05.

Results

Table 2 represents the demographic characteristics of patients who were diagnosed with closed diaphyseal forearm fractures. Table 3 represents the demographic characteristics of patients who were identified as having undergone surgical intervention. A total of 30 936 forearm fracture admissions were identified (Table 2) and 19 837 of these patients were treated surgically (64.12%; Table 3). The proportion of patients treated with surgery increased from 59.3% in 2000 to 70.0% in 2012 (p < 0.001) (Fig. 1; Table 4). Increasing rates of surgery were associated with increasing age, with the lowest rate of surgery occurring in those aged 0 to 4 years old (15.4%) and the highest rate in the 15 to 20 years age group (79.2%) (Table 4). Univariable analysis showed that patients admitted to a non-children's hospital underwent surgery 64.3% of the time compared with 62.7% of those admitted to a children's hospital. However, after multivariable analysis, we found that patients who were admitted to a children's hospital were more likely to undergo surgery compared with those admitted to a non-children's hospital (p < 0.001). Patients in more recent years were more likely to undergo surgical intervention as well, with the highest rate of surgery occurring in 2012 (70.0%). There were also regional differences in rates of surgery. Patients in the West were more likely to undergo surgery (67.8%) compared with the Northeast (59.9%) (p < 0.001).

Fig. 1

Percent of admitted patients treated surgically by year.

Table 2.

Demographics of all paediatric forearm fractures, 2000 to 2012.

				95% CI				95% CI
Variable	Value	Estimated number of patients	Standard error	Lower	Upper	Patients (%)	Standard error (%)	Lower (%)	Upper (%)
Gender	Male	21 968	477	21 032	22 903	71.01	0.39	70.25	71.77
	Female	8968	237	8503	9434	28.99	0.39	28.23	29.75
Age (yrs)	0-4	2247	89	2072	2422	7.26	0.23	6.82	7.71
	5-9	6557	200	6165	6950	21.20	0.41	20.40	21.99
	10-14	10 262	262	9748	10 775	33.17	0.45	32.30	34.04
	15-20	11 870	311	11 260	12 479	38.37	0.67	37.05	39.68
Hospital type	Children's hospital	3718	354	3024	4412	12.02	1.03	10.00	14.04
	General hospital	27 217	566	26 108	28 327	87.98	1.03	85.96	90.00
Insurance status	Medicaid	7549	235	7088	8010	24.40	0.52	23.38	25.43
	Private/Self-pay/other	23 387	522	22 364	24 409	75.60	0.52	74.57	76.62
Year	2000	7491	308	6888	8094	24.21	0.74	22.77	25.66
	2003	6739	229	6290	7187	21.78	0.59	20.63	22.94
	2006	6365	233	5908	6821	20.57	0.55	19.50	21.65
	2009	5278	206	4875	5682	17.06	0.51	16.06	18.06
	2012	5063	196	4678	5448	16.37	0.69	15.01	17.72
Hospital region	Northeast	5596	291	5026	6167	18.09	0.87	16.38	19.80
	Midwest	6356	322	5725	6987	20.55	0.96	18.67	22.42
	South	11 561	436	10 706	12 416	37.37	1.15	35.11	39.63
	West	7423	379	6680	8165	23.99	1.08	21.88	26.11
Total		30 936	667	29 628	32 244	71.01	0.39	70.25	71.77

Table 3.

Demographics of surgically treated paediatric forearm fractures, 2000 to 2012.

				95% CI				95% CIC
Variable	Value	Treated surgically (n)	Standard error	Lower	Upper	Patients (%)	Standard error (%)	Lower (%)	Upper (%)
Gender	Male	14 580	335	13 923	15 237	73.5	0.46	72.60	74.40
	Female	5258	160	4945	5570	26.5	0.46	25.60	27.40
Age (yrs)	0-4	346	30	287.92	404.59	1.8	0.14	1.48	2.02
	5-9	2862	121	2624	3100	14.4	0.44	13.56	15.29
	10-14	7223	202	6827	7620	36.4	0.55	35.34	37.48
	15-20	9405	238	8939	9871	47.4	0.78	45.89	48.94
Hospital type	Children's hospital	2330	253	1834	2825	11.7	1.15	9.50	13.99
	General hospital	17 508	377	16 768	18 247	88.3	1.15	86.01	90.51
Insurance status	Medicaid	4182	152	3884	4480	21.1	0.57	19.97	22.20
	Private/Self-pay/other	15 655	369	14 931	16 379	78.9	0.57	77.80	80.03
Year	2000	4440	203	4042	4839	22.4	0.78	20.86	23.91
	2003	4188	160	3875	4502	21.1	0.66	19.82	22.41
	2006	4142	161	3827	4458	20.9	0.59	19.72	22.04
	2009	3524	144	3241	3808	17.8	0.56	16.67	18.86
	2012	3542	141	3266	3818	17.9	0.77	16.36	19.36
Hospital region	Northeast	3351	202	2956	3746	16.9	0.94	15.06	18.73
	Midwest	4024	203	3627	4421	20.3	0.95	18.42	22.14
	South	7427	290	6858	7995	37.4	1.20	35.08	39.79
	West	5036	265	4515	5556	25.4	1.16	23.11	27.66
Total		19 837	454	18 947	20 727	35.9	0.50	63.14	65.11

Table 4.

Subgroup analysis of admitted patients treated surgically.

Variable	Value	Treated surgically (%)	Standard error	Lower	Upper	p value*
Gender	Male	66.4	0.53	65.32	67.41	0.0036
	Female	58.6	0.81	57.03	60.22
Age (yrs)	0-4	15.4	1.15	13.15	17.67	< 0.0001
	5-9	43.6	1.06	41.58	45.72
	10-14	70.4	0.73	68.95	71.83
	15-20	79.2	0.57	78.12	80.36
Hospital type	Children's hospital	62.7	2.02	58.70	66.60	< 0.0001^†
	General hospital	64.3	0.50	63.34	65.31
Insurance status	Medicaid	55.4	0.91	53.62	57.18	< 0.0001
	Private/Self-pay/other	66.9	0.53	65.90	67.98
Year	2000	59.3	1.05	57.22	61.34	< 0.0001
	2003	62.2	0.98	60.22	64.08
	2006	65.1	0.89	63.33	66.83
	2009	66.8	1.02	64.77	68.77
	2012	70.0	0.92	68.16	71.75
Hospital region	Northeast	59.9	1.31	57.32	62.44	< 0.0001
	Midwest	63.3	1.22	60.92	65.69
	South	64.2	0.77	62.72	65.76
	West	67.8	0.93	66.03	69.66
Total		64.1	0.50	63.14	65.11

multivariable logistic regression

†

after adjustment, children's hospitals associated with higher rate of surgical treatment

Of patients who underwent surgery, 73.5% were male (Table 3). Additionally, 83.8% of patients were aged between 10 and 20 years. The majority of the surgeries occurred at a non-children's hospital (88.3%). The majority of patients (78.9%) had non-Medicaid insurance (p < 0.001). Lastly, from a volume perspective, 37.4% of all surgeries occurred in the South, even though surgeries occurred at the highest rate in the West.

After adjusting for potential confounders (age, gender, year of admission, insurance payer, hospital type, geographic region), multivariable logistic regression analysis revealed that increased age (p < 0.001) (Fig. 2), male gender (p = 0.003), more recent year (p < 0.001) and admission to a children's hospital (p < 0.001) were independently associated with an increased proportion of patients receiving surgical treatment. Medicaid payer status was associated with a lower proportion of surgical treatment (p < 0.001) and there was significant variability in surgical treatment between geographic regions (p < 0.0001).

Fig. 2

Percent of admitted patients treated surgically by age.

Discussion

This study revealed an increasing trend towards operative management of paediatric forearm fractures in patients who were admitted to the hospital. Increasing age, male gender, more recent year, admission to a children's hospital and non-Medicaid insurance status were statistically significant factors in predicting operative intervention. We also found geographic variation in the rate of operative intervention for these injuries. Historically, closed paediatric forearm fractures have been treated non-operatively due to the high remodelling potential in paediatric patients. Tarmuzi et al reported on the successful closed management of 48 patients aged 4 to 12 years, with an 86% rate of excellent functional outcome.⁷ In this study, all fractures went on to union and 51.7% of radius and 73.9% of ulna fractures went on to perfect reduction (angulation less than 5°) in the anteroposterior plane by final follow-up. Perfect reduction was accomplished less often in the lateral plane (14.6% of radius and 54.3% of ulna fractures) with little effect on functional outcome.⁷ Zionts et al performed a prospective study of older paediatric patients with a mean age of 13.3 years (8 to 15) and observed outcomes of non-operative management after closed reduction.⁸ All 25 patients had full range of motion of their wrist and elbow with an average loss of 4° of forearm pronation and 6.8° of supination.⁸ Carey et al examined age differences among patients managed with closed reduction.⁹ The authors found that patients aged < 10 years with < 30° angulation at the time of reduction could expect minimal angulation and full range of motion at healing. In contrast, patients aged 11 to 15 years were expected to have residual angulation with 60% of patients experiencing residual loss of up to 30° of forearm rotation, albeit with no functional loss.⁹ Kay et al reported significantly worse outcomes in patients aged > 10 years treated with closed reduction only. In this study, all patients aged < 10 years had excellent results via non-operative management while nine of 14 patients aged between 10 and 16 years failed closed management, leading the authors to state that the success of closed management was over estimated in older patients.¹⁰ Even following successful non-operative management, re-fracture has been reported to occur at a rate of 4% to 8%.¹¹ Our study supports the findings that operative treatment is used more frequently in older patients. In our sample, the majority of patients were managed non-operatively until the age of ten years, at which point surgery seemed to be the treatment of choice in greater than 50% of patients.

In addition to increased age, more recent year was associated with increased rates of surgical treatment. Other authors have reported an increase in childhood upper extremity fractures in recent years among developed nations, which may partly account for increasing rates of surgical treatment.^12–15 Perhaps the trend towards increasing operative treatment for these injuries in developed nations like the United States is also related to recent advances in techniques and technology used to treat paediatric forearm fractures. There are several fixation methods available for the treatment of forearm fractures in skeletally immature patients. Compression plating, intramedullary nailing (IMN) with titanium elastic nails (TENS) or Kirchner wires (k-wires), and combined fixation methods with nailing and plating are all options, with intramedullary nailing being the most common technique.¹⁶ Flynn et al reviewed 149 operatively managed paediatric both bone forearm fractures over an 11-year period and found that 69.1% were managed with IMN compared with 29.5% with plating. The average age of patients treated surgically was 11.2 years and the study found a sevenfold increase in the rate of fixation over the course of the study,¹⁷ a trend similar to our findings. Other studies have also found a trend towards operative treatment for paediatric forearm fractures. Sinikumpu et al examined their experience at a children's hospital that serves as a regional referral centre in Finland.¹² The authors examined all paediatric forearm fractures that were evaluated at the hospital between 1997 and 2009 and found that the incidence of paediatric forearm fractures was increasing in general. Additionally, the rate of IMN for these injuries significantly increased during the study period. In another Finnish study, Helenius et al examined the rate of operative treatment of fractures in children.⁴ Between 1997 and 2006, the authors found a 28% overall increase in upper extremity fracture surgery. When examining forearm fractures specifically, the authors found a 62% increase in primary operative treatment.⁴

The reasons for the apparent increase in operative treatment for paediatric forearm fractures are unclear since there is limited comparative literature definitively showing the benefits of surgical over non-surgical treatment. Eismann et al reviewed the abstracts of research presented at the national meetings of the American Academy of Orthopaedic Surgeons (AAOS) and Pediatric Orthopaedic Society of North America (POSNA) between 1993 and 2012.⁵ The authors found that, overall, only 26% of studies examining the treatment of paediatric upper extremity fractures recommended operative treatment. Non-operative treatment was recommended in 47% of the sampled studies and a neutral recommendation was made in 27%. The lack of comparative effectiveness literature for the treatment of paediatric and adolescent forearm fractures likely contributes to the regional variation observed in this study, which is consistent with other authors’ findings among adult fracture patients.^18–21 This lack of data is important because despite the potential for a more anatomic reduction, operative intervention for paediatric forearm fractures is not benign and can result in both minor and major complications. A study of 103 patients undergoing surgery via IMN reported a 14.6% complication rate including compartment syndrome, delayed union and poor functional outcome.¹⁶ Kang et al reported on 11 complications in a series of 90 patients treated with IMN. Reported complications included wound problems (7), superficial radial nerve palsy (2), malunion (1) and compartment syndrome (1).²²

After multivariable logistic regression analysis, we found that patients with forearm fractures treated at children's hospitals were more likely to undergo surgical treatment. While a lower overall percentage of patients at children's hospitals were treated surgically (62.7%) compared with general hospitals (64.3%) (Table 3), after adjusting for patient demographics such as age, children's hospitals were actually independently associated with an increased rate of surgical treatment (p < 0.0001). This finding may be explained by the younger mean age of patients (i.e. those who are less likely to undergo surgical treatment) seen at children's hospitals. This increased rate of surgical treatment at children's hospitals may be due to several factors, including whether a paediatric or non-paediatric orthopaedic surgeon treated the patient, the availability of paediatric specific implants, fracture complexity or the availability of paediatric specific ancillary services (i.e. paediatric nursing or anaesthesia). Fabricant et al also used the HCUP-KID to examine paediatric medial epicondyle fractures.²³ The authors found that between 1997 and 2009, the proportion of hospital discharges from children's hospitals increased for the treatment of medial epicondyle fractures compared with general hospitals. The authors postulated that their findings may indicate a move towards subspecialisation in the treatment for paediatric fractures.

Finally, our data show that patients with non-Medicaid insurance were more likely to receive operative treatment compared to those who were insured by Medicaid. Other studies have found disparities in treatment and rate of complications associated with patients who have government-subsidised insurance. Dy et al examined revisit rates to the emergency department over a two-year period and found that non-White patients and patients with government-funded insurance were significantly more likely to return to the emergency department following closed reduction of paediatric fractures.²⁴ Sabharwal et al examined paediatric patients who had presented to a tertiary care hospital for an orthopaedic complaint after having already visited another emergency department for the same complaint.²⁵ A total of 94% of patients presented with a closed fracture and the authors found that 52% of children with private insurance received orthopaedic care within 24 hours compared with only 22% with government-subsidised health insurance.²⁵ Skaggs et al examined access to orthopaedic care and its correlation with insurance status.²⁶ Of the 230 paediatric orthopaedic surgery offices evaluated, 88 offered limited services to patients with Medicaid and 41 would not see a patient with Medicaid under any circumstance. There was also a correlation between willingness to see patients with Medicaid and the reimbursement rate in the region.²⁶ Our study found increased rates of operative treatment in patients with non-Medicaid insurance. This may reflect differences in reimbursement rates between private and government subsidised insurance, surgeon bias when evaluating the risks of surgical versus non-surgical treatment or other unknown factors. With the data analysed, it is not possible to make absolute conclusions regarding treatment indications because data regarding fracture specific characteristics was not available.

Limitations

There are several limitations to this investigation. First, we must emphasise that the HCUP-KID only accounts for patients who were seen in the emergency department and/or sought hospital admission and is therefore subject to sampling bias. Patients who are admitted may have more severe injuries relative to those presenting directly to physician outpatient offices or treated in an ambulatory setting. This sample therefore, does not necessarily represent the majority of this overall patient population since many of these injuries can be treated in an outpatient setting. Further study is needed to examine whether our findings represent a true increased incidence in the surgical treatment of paediatric forearm fractures among the at-risk population as a whole.

Like any large nationally representative database, the HCUP-KID is at risk for coding misclassification. We were also unable to extract information on more specific fracture characteristics (displacement, angulation, etc.) or surgical treatment characteristics (plating vs intramedullary fixation, etc.), which limits our ability to fully understand how many of the annually admitted paediatric forearm fractures warranted surgical intervention based on accepted indications. We excluded ICD-9 CM codes that indicated open fractures since open fractures are one of the more widely accepted criteria for surgical treatment.²⁷ We also chose to focus on diaphyseal forearm fractures and excluded distal and proximal radius/ulna fractures because treatment for these injuries is distinct from diaphyseal forearm fractures. This study also does not provide information on follow-up data such as functional outcome, fracture union or surgical complications to indicate the results of management decisions. Finally, our multivariable logistic regression model is limited by the variables recorded and available for analysis. Despite its weaknesses, the HCUP-KID database is widely accepted in the literature in the review of a number of other conditions^28–40 and provides useful data when examining trends in paediatric fracture treatment. In conclusion, review of the HCUP-KID database showed that the rate of operative treatment of paediatric forearm fractures captured in this inpatient sample increased over time between 2000 and 2012. Increased surgical rates were associated with older age, male gender, treatment at a children's hospital and non-Medicaid insurance status. While past literature has also shown increases in the rate of surgical treatment for paediatric forearm fractures, further study is necessary to elucidate whether the current findings reflect a similar trend in fractures treated in an outpatient or ambulatory care setting. If the overall rate of surgical treatment for paediatric forearm fractures is truly increasing, further study is also needed to examine the comparative effectiveness of surgical versus non-surgical treatment for these injuries.

Footnotes

Funding Statement

No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article.

Ethical Statement

This article does not contain any studies with human participants or animals performed by any of the authors.

No funding was obtained in support of this work.

References

Chung

, Spilson

. The frequency and epidemiology of hand and forearm fractures in the United States. J Hand Surg [Am] 2001; 26-A: 908–915.

Heyworth

, Galano

, Vitale

. Management of closed femoral shaft fractures in children, ages 6 to 10: national practice patterns and emerging trends. J Pediatr Orthop 2004; 24: 455–459.

Naranje

, Stewart

, Kelly

, et al. Changes in the treatment of pediatric femoral fractures: 15-year trends from United States Kids’ Inpatient Database (KID) 1997 to 2012. J Pediatr Orthop 2016; 36: e81–e85

Helenius

, Lamberg

, Kääriäinen

, Impinen

, Pakarinen

. Operative treatment of fractures in children is increasing. A population-based study from Finland. J Bone Joint Surg [Am] 2009; 91-A: 2612–2616.

Eismann

, Little

, Kunkel

, Cornwall

. Clinical research fails to support more aggressive management of pediatric upper extremity fractures. J Bone Joint Surg [Am] 2013; 95: 1345–1350.

No authors listed. Healthcare Cost and Utilization Project (HCUP) | Agency for Healthcare Research & Quality. https://www.ahrq.gov/research/data/hcup/index.html. (date last accessed 7 April 2017 ).

Tarmuzi

, Abdullah

, Osman

, Das

. Paediatric forearm fractures: functional outcome of conservative treatment. Bratisl lekárske List 2009; 110: 563–568.

Zionts

, Zalavras

, Gerhardt

. Closed treatment of displaced diaphyseal both-bone forearm fractures in older children and adolescents. J Pediatr Orthop 2005; 25: 507–512.

Carey

, Alburger

, Betz

, Clancy

, Steel

. Both-bone forearm fractures in children. Orthopedics 1992; 15: 1015–1019.

10.

Kay

, Smith

, Oppenheim

. Both-bone midshaft forearm fractures in children. J Pediatr Orthop 1986; 6: 306–310.

11.

Bould

, Bannister

. Refractures of the radius and ulna in children. Injury 1999; 30: 583–586.

12.

Sinikumpu

, Pokka

, Serlo

. The changing pattern of pediatric both-bone forearm shaft fractures among 86,000 children from 1997 to 2009. Eur J Pediatr Surg 2013; 23: 289–296.

13.

Sinikumpu

, Lautamo

, Pokka

, Serlo

. The increasing incidence of paediatric diaphyseal both-bone forearm fractures and their internal fixation during the last decade. Injury 2012; 43: 362–366.

14.

Khosla

, Melton

III , Dekutoski

, et al. Incidence of childhood distal forearm fractures over 30 years: a population-based study. JAMA 2003; 290: 1479–1485.

15.

de Putter

, van Beeck

, Looman

CWN

, et al. Trends in wrist fractures in children and adolescents, 1997-2009. J Hand Surg Am 2011; 36: 1810–1815.e2.

16.

Kelly

, Shore

, Bae

, Hedequist

, Glotzbecker

. Pediatric forearm fractures with in situ intramedullary implants. J Child Orthop 2016; 10: 321–327.

17.

Flynn

, Jones

, Garner

, Goebel

. Eleven years experience in the operative management of pediatric forearm fractures. J Pediatr Orthop 2010; 30: 313–319.

18.

Fanuele

, Koval

, Lurie

, et al. Distal radial fracture treatment: what you get may depend on your age and address. J Bone Joint Surg [Am] 2009; 91-A: 1313–1319.

19.

Chung

, Shauver

, Yin

, et al. Variations in the use of internal fixation for distal radial fracture in the United States medicare population. J Bone Joint Surg [Am] 2011; 93-A: 2154–2162.

20.

Bariteau

, Hsu

, Mor

, et al. Operative versus nonoperative treatment of geriatric ankle fractures: a Medicare Part A claims database analysis. Foot Ankle Int 2015; 36: 648–655.

21.

Chung

, Shauver

, Birkmeyer

. Trends in the United States in the treatment of distal radial fractures in the elderly. J Bone Joint Surg [Am] 2009; 91-A: 1868–1873.

22.

Kang

, Mangwani

, Ramachandran

, Paterson

JMH

, Barry

. Elastic intramedullary nailing of paediatric fractures of the forearm: a decade of experience in a teaching hospital in the United Kingdom. J Bone Joint Surg [Br] 2011; 93-B: 262–265.

23.

Fabricant

, Seeley

, Anari

, et al. Medial epicondyle fractures in children and adolescents: shifting care from general hospitals to children's hospitals? J Pediatr 2015; 167: 1116–1120.

24.

, Lyman

, Do

, et al. Socioeconomic factors are associated with frequency of repeat emergency department visits for pediatric closed fractures. J Pediatr Orthop 2014; 34: 548–551.

25.

Sabharwal

, Zhao

, Mc Clemens

, Kaufmann

. Pediatric orthopaedic patients presenting to a university emergency department after visiting another emergency department: demographics and health insurance status. J Pediatr Orthop 2007; 27: 690–694.

26.

Skaggs

, Lehmann

, Rice

, et al. Access to orthopaedic care for children with Medicaid versus private insurance: results of a national survey. J Pediatr Orthop 2006; 26: 400–404.

27.

Franklin

, Robinson

, Noonan

, Flynn

. Evidence-based medicine: management of pediatric forearm fractures. J Pediatr Orthop 2012; 32: S131–S134.

28.

Lin

, Pan

, Mayer

, Lam

. Complications after craniosynostosis surgery: comparison of the 2012 Kids’ Inpatient Database and Pediatric NSQIP Database. Neurosurg Focus 2015; 39: E11.

29.

Heslin

, Elixhauser

. Mental and Substance Use Disorders Among Hospitalized Teenagers, 2012: Statistical Brief #202. http://www.ncbi.nlm.nih.gov/pubmed/27253007. (date last accessed 7 April 2017).

30.

, Puckett

. Risk factors for inpatient hospital admission in pediatric burn patients. Cureus 2016; 8: e602.

31.

Puckett

, Ta

. Socioeconomic factors impact inpatient mortality in pediatric lymphoma patients. Cureus 2016; 8: e624.

32.

Christian

, Jin

, Attenello

, et al. Trends in hospitalization of preterm infants with intraventricular hemorrhage and hydrocephalus in the United States, 2000-2010. J Neurosurg Pediatr 2016; 17: 260–269.

33.

Vigneswaran

, Grabel

, Eberson

, Palumbo

, Daniels

. Surgical treatment of adolescent idiopathic scoliosis in the United States from 1997 to 2012: an analysis of 20,346 patients. J Neurosurg Pediatr 2015; 16: 322–328.

34.

Qureshi

, Ference

, Novis

, et al. Trends in the management of pediatric peritonsillar abscess infections in the U.S., 2000-2009. Int J Pediatr Otorhinolaryngol 2015; 79: 527–531.

35.

Witt

, Weiss

, Elixhauser

. Overview of Hospital Stays for Children in the United States, 2012: Statistical Brief #187. http://www.ncbi.nlm.nih.gov/pubmed/25695124. (date last accessed 6 April 2017 ).

36.

Novis

, Pritchett

, Thorne

, Sun

. Pediatric deep space neck infections in U.S. children, 2000-2009. Int J Pediatr Otorhinolaryngol 2014; 78: 832–836.

37.

Hasegawa

, Tsugawa

, Brown

DFM

, Camargo

Jr. Childhood asthma hospitalizations in the United States, 2000-2009. J Pediatr 2013; 163: 1127–33.e3.

38.

Gipson

, Messer

, Tran

, et al. Inpatient health care utilization in the United States among children, adolescents, and young adults with nephrotic syndrome. Am J Kidney Dis 2013; 61: 910–917.

39.

Tzong

KYS

, Han

, Roh

, Ing

. Epidemiology of pediatric surgical admissions in US children: data from the HCUP kids inpatient database. J Neurosurg Anesthesiol 2012; 24: 391–395.

40.

Wier

, Encinosa

. Obesity in Children: Hospitalizations from 2000 to 2009: Statistical Brief #138. http://www.ncbi.nlm.nih.gov/pubmed/22953352. (date last accessed 6 April 2017 ).

Increasing rates of surgical treatment for paediatric diaphyseal forearm fractures: A National Database Study from 2000 to 2012

Abstract

Purpose

Methods

Results

Conclusions

Keywords

Introduction

Patients and methods

Data collection

Statistical Analysis

Results

Discussion

Limitations

Footnotes

References