Skip to main content
Download PDF

Could low birth weight and preterm birth be associated with significant burden of hip osteoarthritis? A systematic review

Arthritis Research & Therapy volume 20, Article number: 121 (2018) Cite this article

Abstract

Background

Approaches for the prevention and treatment of hip osteoarthritis (OA) remain limited. There are recent data suggesting that low birth weight (LBW) and preterm birth may be risk factors for hip osteoarthritis. This has the potential to change the current paradigm of hip osteoarthritis prevention by targeting early life factors. The aim of this review was to examine the available evidence for an association of LBW and preterm birth with hip OA. The potential cost implications associated with total hip arthroplasty were also evaluated.

Methods

Ovid Medline, EMBASE, and Cinahl were searched up until August 2017 using MeSH terms and key words. Methodological quality was evaluated using the National Heart Lung and Blood Institute (NHLBI) quality assessment tool. Qualitative evidence synthesis was performed to summarise the results. Bradford Hill’s criteria for causation including the temporal relationship, consistency, strength of the association, specificity, dose-response relationship, and analogy were used to assess the evidence for causation. Economic modelling was used to calculate the potential economic burden associated with LBW or preterm birth related total hip arthroplasty using Australian data from 2012 to 2015.

Results

Five studies, ranging from high to low quality, were included. Hip bone shape abnormalities examined included developmental hip dysplasia and immature hip, and hip osteoarthritis included osteophytes and total hip arthroplasty. A causal link between low birth weight or preterm birth and hip osteoarthritis was found. Of the 30,477 total hip arthroplasties performed for hip osteoarthritis in Australia in 2015, 5791 were estimated to be born preterm and 5273 with low birth weight. This equated to a potential total hip arthroplasty cost of AU$145,136,082 and AU$132,150,222 for these subgroups, respectively.

Conclusion

Available data suggest that low birth weight and preterm birth are associated with hip bone shape abnormalities and hip osteoarthritis requiring total hip arthroplasty, with a substantial associated financial burden. Given the current lack of effective treatment and prevention strategies for hip osteoarthritis, this offers a new avenue for reducing the future burden of hip osteoarthritis.

Background

Hip osteoarthritis (OA) is a common joint disease with one in four people developing symptomatic hip OA in their lifetime [1]. There are limited treatment and preventive strategies for hip OA; as a result, end-stage disease is treated by total hip arthroplasty (THA), imposing a burden on health systems internationally [2, 3]. In Australia, almost one in eight people have a lifetime risk of undergoing THA [3]. The number of THAs per annum in Australia has risen steadily over time, with an increase of 65% from 2003 to 2015 [4]. To reduce the burden of this disease, new approaches to prevention are needed.

There is increasing evidence for the importance of hip bone shape in the pathogenesis of hip OA [5, 6]. For example, recent studies have shown that mild acetabular dysplasia [7] and alterations in hip bone shape and geometry [6] predate the onset of hip OA. Events in early life may be risk factors for hip OA and these may be mediated by changes in hip bones. Potential mechanisms affecting the bone include differences in bone accretion for a fetus in an intrauterine environment versus a preterm infant in an extrauterine environment [8], and greater bone mineral content in a full-term-born baby compared with a preterm infant [9, 10]. Both low birth weight (LBW) and preterm born babies frequently suffer from metabolic bone disease which is often asymptomatic and self-limiting [11] and has been linked to thickening of the chondrocostal junctions of the long bones [12]. Preterm birth has also been linked to reduced bone mass [13] and underdeveloped acetabula [14]. Post-delivery, these infants demonstrate an altered hip position (with hip extension) compared with the position of intrauterine life (flexed and abducted hip) and this may contribute to an increased incidence or greater severity of acetabular dysplasia [15, 16]. It is perhaps unsurprising, therefore, that LBW and preterm birth have been associated with the pathology of hip OA. If this association exists between LBW, preterm birth, and hip structure, it could facilitate a paradigm shift for the monitoring and prevention of hip OA. Hip joint abnormalities exist as a continuum, and subtle morphological abnormalities of hip bone, i.e. mild acetabular dysplasia or a shallow acetabulum, are associated with late-onset of primary hip OA [17, 18]. As hip OA is a chronic long-term condition, to understand the risk factors and pathogenesis of hip OA we need to consider the stages of hip OA across the life-course from early changes in hip bone shape to established hip OA and end-stage joint disease requiring joint replacement surgery. Without considering these earlier stages, simply trying to identify hip OA will not be helpful as the prevalence of hip OA in those aged < 40 years is very low.

A substantial number of babies are born with LBW in developed countries. Based on data from 2015 and 2016, 6.2% of infants are born LBW (< 2500 g) and 8% are born preterm (at < 37 completed weeks gestation) in Australia [19], which is lower than the prevalence of LBW and preterm births in the United States (8.0% LBW and < 12.0% preterm) [20, 21], the United Kingdom (7.6% LBW) [22], and the Organisation for Economic Co-operation and Development average (6.6% LBW) [23]. A steady increase in the number of LBW and preterm born infants is expected since the average age of mothers in developed countries is increasing [24]; older mothers (≥ 35 years) [25] are at higher risk of delivering LBW and preterm born babies than mothers aged 20 to 34 years. Additionally, the survival rate of LBW and preterm birth infants has increased almost 80% in the past 30 years [9]. Thus, determining whether LBW or preterm birth increases the risk of abnormal hip bone shape and hip OA, and subsequent THA in later life and the potential economic burden, will be important to inform future resource allocation and hip OA prevention initiatives.

In this study, we aimed to examine the available evidence for an association of LBW and preterm birth with hip OA, and to examine the evidence for potential causation based on the Bradford Hill criteria. Considering the range of definitions used to describe OA-related changes and outcomes, we have collectively termed ‘hip pathologies’, hip joint abnormalities, hip OA, and hip arthroplasty for hip OA as ‘Hip OA’. Given the huge burden associated with both hip OA and LBW and preterm birth, we also considered the potential cost implications associated with THA.

Methods

Systematic review

This systematic review was conducted and reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines [26].

Search strategy

Ovid Medline, CINAHL, and EMBASE databases were searched between January 1947 and August 2017 using MeSH terms (after exploding) and key words to identify studies examining the association between LBW or preterm birth and hip bone abnormality and hip OA. The MeSH and key terms used to define hip bone abnormality and hip OA included “hip” and “osteoarthritis” or “degenerative arthritis” or “coxarthritis” or “dysplasia” or “joint space narrowing” or “osteophytes” or “bone shape” or “bone geometry” or “neck shaft angle” or “hip deformity” or “femora acetabular impingement” or “pincer deformity” or “cam deformity”. For LBW and preterm birth, the MeSH and key terms used were “birth weight” or “low birth weight” or “preterm birth” or “prematurity” or “preterm”. Searches were limited to human studies and those published in English.

Study selection

Two authors (SMH and YW) independently assessed study eligibility using a three-stage determination method, reviewing the title, abstract, and then full text. Any disagreement between the two authors was resolved by consensus reviewing the criteria. Studies were only included if they assessed hip bone abnormality and hip OA including developmental dysplasia of the hip (DDH), hip instability at childhood, hip deformity, hip osteophytes, joint space narrowing, symptomatic hip OA, radiological hip OA, magnetic resonance imaging (MRI) changes of the hip, hip bone shape, hip bone geometry, hip neck-shaft angle, hip deformity, THA for hip OA, and either LBW or preterm birth or both LBW and preterm birth. Case reports, conference abstracts, and review articles were excluded, as were studies without a comparison group. The reference lists of the included articles and review articles identified were searched to identify any additional relevant studies.

Data extraction and synthesis

Two authors (SMH and YW) extracted data independently on study design, participant characteristics (number, gender, and age), definition and prevalence of hip bone abnormality and hip OA, duration of follow-up, measures of LBW or preterm birth, adjustment for confounding factors, and associations between LBW or preterm birth and hip bone abnormality and hip OA. A third author (FMC) assessed the consistency of extracted data. Although a meta-analysis was planned, significant heterogeneity across the studies (predominantly different ages of the study populations, different methods for defining and assessing hip bone abnormality and hip OA, and different sources of birth weight data) precluded the pooling of data for analysis.

Risk of bias assessment

Two authors (INA and YW) independently assessed the risk of bias of included studies using the National Heart Lung and Blood Institute (NHLBI) quality assessment tool for observational studies [27]. This tool includes 14 criteria for cohort and cross-sectional studies and 12 criteria for case-control studies to assess the internal validity and risk of bias, and scores the quality of a study as ‘high’ (low risk of bias), ‘fair’ (moderate risk of bias), or ‘low’ (high risk of bias).

Bradford Hill criteria for causation

The Bradford Hill criteria [28] were used to examine the evidence for a causal relationship between LBW and hip OA, and between preterm birth and hip OA. These criteria are commonly used to assess the adequacy of evidence for a causal relationship between an exposure and a consequence. These criteria include temporal relationship, consistency, strength of the association, specificity, dose-response relationship, and analogy.

Economic evaluation

An economic evaluation was undertaken to estimate the costs associated with THA likely attributable to LBW or preterm birth at a national level. Trends in the national prevalence of LBW and preterm birth were examined using annual birth data published by the Australian Institute of Health and Welfare [29, 30]. Data from Australian Orthopaedic Association National Joint Replacement Registry annual reports were used to establish the incidence of THA performed for OA in 2015 [31]. Data on the likelihood of having THA due to LBW or preterm birth were obtained from a recent Australian data linkage study [32], with additional summary data provided by the authors. These proportions were applied in separate calculations to annual THA incidence data to estimate the number of THA procedures performed for the LBW and preterm birth populations in 2015. The costs associated with THA were estimated from a health system perspective [33]. Published episode of care costs for THA were inflated to 2016 prices (AUD $22,817 per THA) [33] and multiplied by the number of estimated THA procedures in 2015 to calculate the total cost of THA.

Results

Systematic review

Search results

Database searches identified 231 records (CINAHL, n = 49; Ovid Medline, n = 46; and EMBASE, n = 136), of which 69 articles were duplicates. Of the remaining 162 articles, 154 were excluded after title and abstract screening as these studies did not assess hip OA in relation to LBW or preterm birth. Full-text screening was performed for eight articles. Three were excluded as they did not include an appropriate comparison, leaving five included studies (Fig. 1). No additional articles were identified from reference lists.

Fig. 1
figure1

PRISMA flow diagram of included articles. BMI body mass index

Full size image

Summary of included studies

Table 1 provides an overview of the included studies. The included studies comprised two cohort [32, 34], one case-control [35], and two cross-sectional studies [36, 37] published between 1993 and 2015. Two studies originated from Australia [32, 35], two from the UK [34, 36], and one from Turkey [37]. All the studies included men and women.

Table 1 Characteristics of studies included in the systematic review
Full size table

Assessment of hip pathology and hip OA

Hip bone abnormality included self-reported DDH [35], α-angle of the hip joint (suggestive of immature or pathologic hip) by ultrasound examination [37], and hip deformity by footprint angle and hip rotation [36]. Hip OA was defined by American College of Rheumatology (ACR) algorithms based on the presence of osteophytes and overall Kellgren and Lawrence (K-L) score assessed from hip radiographs [34], and hip arthroplasty for OA [32].

Assessment of low birth weight or preterm birth

Two studies reported both LBW and preterm birth data [32, 36], while the remainder collected data only on LBW [34, 35] or preterm birth [37]. Birth weight information was collected from hospital records [36, 37] and birth registries [34, 35] for four of the included studies. One study collected self-reported birth weight data and whether the participant was born ≥ 2 weeks preterm [32]. In this study, 10% of the participants had birth weight data from hospital records compared against their self-reported data for validation [32].

Prevalence of hip bone abnormality and hip OA

One study reported that self-reported DDH was present among 0.75% of the population [35]. Two studies [32, 34] reporting hip OA prevalence showed a 2.1% prevalence when hip OA was defined by THA [32], and 3.2% for men and 6.0% for women when the disease was defined as clinical hip OA [34].

Risk of bias

A risk of bias assessment was undertaken for each of the included studies. The overall quality assessment is shown in Table 1, with details of quality assessment presented in Additional file 1: Table S1 for cohort and cross-sectional studies and Additional file 1: Table S2 for case-control studies. Of the two cohort studies, one was classified as high quality [32] and the other was classified as fair quality [34]. The other studies, one case-control [35] and two cross-sectional [36, 37] studies, were considered of low quality. Limitations associated with the cohort studies included the categorisation of birth weight data (i.e. birth weight data was not treated as a continuous variable) [32] and the lack of sample size justification and loss to follow-up [34]. The two cross-sectional studies did not provide information on temporality and also failed to adjust for potential confounders [36, 37]. In the case-control study, the processes used to identify or select cases and controls was problematic, and the process for measuring exposure was not clearly defined [35]. The study population and research question were defined clearly in all the studies.

Association between LBW or preterm birth and hip bone abnormality

One low-quality case-control study found that participants born with LBW were less likely to develop DDH [35]. The two low-quality cross-sectional studies reported conflicting results regarding birth weight and hip bone abnormality. One study showed that LBW and preterm birth were associated with deformation of the lower limb including the hip [36], while the other study found that preterm babies had less prevalence of abnormal α-angle of the hip joint (< 60 °, suggestive of immature hip development) compared with full-term babies [37]. Neither study adjusted for potential confounders (Table 2).

Table 2 Association between low birth weight or preterm birth and hip pathology/osteoarthritis
Full size table

Association between LBW or preterm birth and hip OA

Two cohort studies examined the relationship between LBW or preterm birth and hip OA [32, 34] (Table 2). In a high-quality cohort study, LBW and preterm birth were independently associated with increased incidence of THA for OA [32]. A stronger association was evident for preterm birth than for LBW [32]. The other fair-quality cohort study showed that lower birth weight (as a continuous variable) was associated with hip osteophytes but not clinical hip OA (defined using algorithms developed by the ACR) [34].

Evidence for causation using the Bradford Hill criteria for causation

Table 3 presents the Bradford Hill criteria, an explanation of each criterion, and evidence for a causal relationship between LBW, preterm birth, and hip OA in relation to each criterion. While there was evidence for causation with respect to six items of the Bradford Hill criteria (consistency, strength of the association, dose-response relationship, specificity, analogy, and temporal relationship), there was no or limited evidence for the remaining three criteria (plausibility, reversibility, and coherence). Overall, this approach suggests that there is modest evidence for a cause-effect relationship, with most of the criteria being present between LBW, preterm birth, and hip pathology/hip OA.

Table 3 Evidence for a causal relationship between low birth weight and preterm birth and hip osteoarthritis according to the Bradford Hill criteria
Full size table

Modelling the economic burden

Table 4 presents national trends in LBW and preterm births in Australia from 2009 to 2014. The proportion of LBW births and preterm births has remained steady over this period (representing 6.4% and 8.0% of all live births in 2014, respectively), although absolute numbers have increased over time in line with an increasing number of births nationwide. A total of 34,321 primary THA procedures were performed in Australia in 2015 and, of these, 30,477 (88.8%) were performed for hip OA [31]. The proportion of study participants undergoing THA who were born with LBW or preterm was 17.3% and 19.0%, respectively [32]. Based on these data [32], 5273 THA procedures performed for OA were estimated as attributable to LBW, while 5791 THA procedures for OA were estimated as attributable to preterm birth. This equates to a total annual cost for THA of AUD $132,150,222 and AUD $145,136,082 for the LBW and preterm populations, respectively.

Table 4 Trends in preterm births and low birth weight in Australia
Full size table

Discussion

In this study, we examined the available evidence for an association between LBW and preterm birth, and the evidence for potential causation based on the Bradford Hill criteria [28]. Considering available data from two high- to fair-quality cohort studies and plausible causation evidence [28], there is a strong indication to support the hypothesis that both LBW and preterm birth are risk factors for hip OA. This has the potential for high healthcare burden since the estimated cost to the Australian health system for THA attributable to LBW and preterm birth would exceed AUD$132 million and AUD$145 million, respectively, based on current estimates. However, the full healthcare costs are likely to be significantly higher, given the additional costs of non-surgical management for less severe hip OA including pain medications and physiotherapy.

Two cohort studies with high to moderate quality and one low-quality cross-sectional study showed that LBW and preterm birth are associated with either hip deformation [36], hip OA [34], or THA for hip OA [32]. Data from the Australian Diabetes, Obesity and Lifestyle Study showed that people with LBW and preterm birth were at higher risk of THA compared with those with normal weight and full-term births, respectively [32]. Similarly, data from the Hertfordshire Cohort Study showed that individuals with lower birth weight were more likely to have hip osteophytes in adulthood; however, there was no relationship between LBW and clinical hip OA as defined by ACR criteria [34]. The ACR criteria specify that hip pain must be present together with radiographic changes to support a diagnosis of hip OA [38]. This diagnostic approach accounts for the known discordance between radiographic findings and symptoms [39]. For example, approximately 85% of people with structural changes indicative of hip OA do not experience frequent hip pain [40]. In another study, 20.1% of individuals with self-reported hip pain had features of clinical hip OA [41]. Thus, making a comparison between radiographic and clinical definitions of hip OA is problematic.

The association between LBW or preterm birth and hip bone abnormality has not always been clear. There was conflicting evidence regarding LBW or preterm birth and hip bone abnormality in three low-quality studies. One cross-sectional study reported that LBW and preterm birth were associated with hip deformity [36]. In contrast, the other cross-sectional study and the only case-control study reported that there was no relationship between LBW or preterm birth, and immature hip and DDH, respectively [35, 37]. There might be several reasons for these discordant findings. For instance, the study that showed LBW and preterm birth were associated with hip deformity measured hip deformity when the children were 3–4 years old [36], while the other study performed ultrasonography to measure hip angle predictive of immature hip predictive of DDH at the gestational age of 40 weeks, regardless of the participant’s actual birth week [37]. It has been shown that a number of infants who progress to hip dysplasia have unstable hips at infancy [42], and hence in most cases dysplasia is diagnosed during late childhood [43]. Furthermore, there is no agreement as to what constitutes an ‘abnormal’ hip [44]. In the case-control study, DDH was self-reported and therefore may have captured only severe cases [35] and failed to show an association.

Examination of Bradford Hill criteria provided further supportive evidence for a causal relationship between LBW and preterm birth and hip OA. Results from the cohort studies supported a temporal relationship between LBW or preterm birth and hip arthroplasty due to hip OA [32], and between LBW and hip osteophytes [34]. There is also some evidence for a “dose-response relationship” between LBW and severity of hip OA, described in one recent cohort study as the lower the birth weight, the higher the likelihood of having osteophytes [34]. Consistent findings were observed using a different spectrum of hip pathology/hip OA including dysplasia [36], osteophytes [34], and arthroplasty [32] of the hip. There was some evidence of specificity as lower birth weight was associated with hip osteophytes but not osteophytes in other joints [34]. In addition, there is evidence of analogy. For example, reduced bone mineral density [45] and bone mineral content [10] are found in preterm infants, even when age is corrected for term. Further work is needed to clarify the role of LBW and preterm birth in the development of hip OA.

The aetiology of hip OA is multifactorial. Both congenital and developmental diseases of the hip, such as mild acetabular dysplasia, may increase the risk of developing of hip OA in adulthood [5, 46]. Preterm babies are born with an incomplete acetabulum at birth [14]. These infants often develop a postural deformation of the legs which persists until early childhood [36] which may be due to an underdeveloped or shallow, upwardly sloping acetabulum [7], decreased joint surface area [47], or lax ligaments holding the ball in place [36]. These factors may influence the structural development of the hip joint, resulting in an abnormal hip joint shape. The important role of hip bone shape and geometry in the aetiology of hip OA has been established [5]. Premature and LBW babies represent a uniquely vulnerable population in which bone growth and mineral acquisition are critical with regards to bone turnover [48]. A case-control study found reduced peak bone mass at the femoral neck in very low birth weight babies [13]. There is emerging evidence that preterm birth and very low birth weight results in a decrease in bone formation and an increase in bone resorption [9, 48] that reduces osteoclast apoptosis [49] and increases cartilage degeneration [50], which may be another potential pathway for the development of hip OA. Furthermore, there might be other mediating factors, i.e. catch-up growth during infancy, high levels of physical activity during puberty, and childhood obesity which, in conjunction with low birth weight and preterm birth, might contribute to hip OA. However, these speculations should be interpreted with caution and more studies are needed to support this hypothesis. If proven to contribute to the development of hip OA, modifying hip position through postural support [15, 16] and perhaps the use of double nappies [51] may be beneficial for these babies. Similarly, it may be that swaddling that forces the hips into extension and adduction, which is a common practice in some Middle East countries and in the US [52], and is having a resurgence in English-speaking countries [53], may predispose to dysplasia and should be discouraged in these babies. Furthermore, these babies should be targeted for hip dysplasia screening even in the absence of overt hip changes; they could also be identified as being at increased risk of hip OA and be considered for preventive strategies as evidence for this emerges. Given the lack of modifiable risk factors for hip OA and with the increasing number of LBW and preterm births, this has the potential to have a major impact on reducing the future burden of hip OA.

Data from the landmark Global Burden of Disease study have shown that the prevalence of hip OA is highest among high-income countries [54] and prevalence is expected to increase with gains in life expectancy. No conventional factors, such as age, body mass index (BMI), or physical activity, fully explain the pathogenesis of the disease [5]. The burden of LBW and preterm birth is also substantial and is increasing internationally [20] with increases in maternal age [30]. In the year 2000 in the US, 55% of all LBW infants were born to women aged 45 years or over [21]. The average age of mothers in Australia has risen from 29.7 years in 2004 to 30.2 years in 2014, and the proportion of mothers aged 35 years and over has increased from 20% in 2004 to 22% in 2014 [30]. This has key health system implications as the age of mothers continues to rise. This study highlights the need to identify babies at risk of developing hip OA, with early assessment of hip joint development among preterm babies and those of LBW and ongoing monitoring of at-risk individuals in childhood and adolescence.

In this study, we performed a systematic literature search with a comprehensive risk of bias assessment. A major limitation of this review is the lack of available studies. However, it is important to note that research into the development and epidemiology of hip OA is generally limited, despite the high burden of disease. One of the included studies used THA for hip OA as a surrogate marker of hip OA and probably has underestimated the association between LBW/preterm birth and hip OA (given that not all individuals with moderate or severe hip OA will undergo hip arthroplasty). However, the study was performed in Australia where there is a publicly funded universal health system (Medicare) and people without private health insurance have access to arthroplasty surgery under this system. The evidence of LBW and preterm birth being risk factors for abnormal hip bone shape, and hip OA was established by applying the Bradford Hill criteria of causation in two high- to fair-quality cohort studies and a few poor-quality case-control and cross-sectional studies. Thus, it is clear that further research is required to determine the influence of LBW and preterm birth in the pathological process of hip OA development. LBW could be due to prematurity (59% to 70% of low birth weight babies) [55, 56], intrauterine growth restriction, or both. In this review, we included either separate or combined preterm birth or LBW data based on how they were examined in the primary study. It is therefore not possible to draw conclusions as to how low birth weight alone, low birth weight along with preterm birth, or preterm birth alone contributes to the pathophysiology of hip OA.

The LBW and preterm populations were treated separately for the economic evaluation, although there will undoubtedly be some overlap between these groups. The THA costs are based on average costs for an episode of care and cannot account for individual differences in arthroplasty costs. Finally, our analysis does not include the indirect or out-of-pocket costs of THA.

Conclusion

Despite the lack of high-quality studies in this area, our findings suggest that LBW and preterm birth are potential risk factors for hip bone shape abnormalities and hip OA requiring THA in adulthood. Based on our calculations, this could have substantial financial implications for healthcare systems. Given the current lack of effective treatment and preventive strategies for hip OA, this is an area where further research is needed to reduce the burden of hip OA. For example, the individuals born preterm or with LBW may be identified as an “at-risk group” for future end-stage hip OA; this will enable targeted monitoring and early interventions that could potentially reduce the population burden of THA in later life.

Abbreviations

ACR:

American College of Rheumatology

DDH:

Developmental dysplasia of the hip

K-L:

Kellgren and Lawrence

LBW:

Low birth weight

MRI:

Magnetic resonance imaging

NHLBI:

National Heart Lung and Blood Institute

OA:

Osteoarthritis

PRISMA:

Preferred Reporting Items for Systematic Review and Meta-Analysis

THA:

Total hip arthroplasty

References

  1. 1.

    Murphy LB, Helmick CG, Schwartz TA, Renner JB, Tudor G, Koch GG, Dragomir AD, Kalsbeek WD, Luta G, Jordan JM. One in four people may develop symptomatic hip osteoarthritis in his or her lifetime. Osteoarthr Cartil. 2010;18(11):1372–9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. 2.

    Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007;89(4):780–5.

    PubMed  Google Scholar 

  3. 3.

    Ackerman IN, Bohensky MA, de Steiger R, Brand CA, Eskelinen A, Fenstad AM, Furnes O, Graves SE, Haapakoski J, Makela K, et al. Lifetime risk of primary total hip replacement surgery for osteoarthritis from 2003–2013: a multi-national analysis using national registry data. Arthritis Care Res (Hoboken). 2017;69(11):1659-67.

  4. 4.

    Australian Orthopaedic Association. National Joint Replacement Registry. Annual Report. Adelaide: AOA; 2016.

    Google Scholar 

  5. 5.

    Ganz R, Leunig M, Leunig-Ganz K, Harris WH. The etiology of osteoarthritis of the hip: an integrated mechanical concept. Clin Orthop Relat Res. 2008;466:264–72.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Agricola R, Heijboer MP, Bierma-Zeinstra SM, Verhaar JA, Weinans H, Waarsing JH. Cam impingement causes osteoarthritis of the hip: a nationwide prospective cohort study (CHECK). Ann Rheum Dis. 2013;72(6):918–23.

    Article  PubMed  Google Scholar 

  7. 7.

    Birrell F, Silman A, Croft P, Cooper C, Hosie G, Macfarlane G. Syndrome of symptomatic adult acetabular dysplasia (SAAD syndrome). Ann Rheum Dis. 2003;62(4):356–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. 8.

    Cooper C, Westlake S, Harvey N, Javaid K, Dennison E, Hanson M. Review: developmental origins of osteoporotic fracture. Osteoporos Int. 2006;17(3):337–47.

    Article  PubMed  Google Scholar 

  9. 9.

    Miller ME. The bone disease of preterm birth: a biomechanical perspective. Pediatr Res. 2003;53(1):10–5.

    Article  PubMed  Google Scholar 

  10. 10.

    Beltrand J, Alison M, Nicolescu R, Verkauskiene R, Deghmoun S, Sibony O, Sebag G, Levy-Marchal C. Bone mineral content at birth is determined both by birth weight and fetal growth pattern. Pediatr Res. 2008;64(1):86–90.

    Article  PubMed  Google Scholar 

  11. 11.

    Wood CL, Wood AM, Harker C, Embleton ND. Bone mineral density and osteoporosis after preterm birth: the role of early life factors and nutrition. Int J Endocrinol. 2013;2013:902513.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Bozzetti V, Tagliabue P. Metabolic bone disease in preterm newborn: an update on nutritional issues. Ital J Pediatr. 2009;35:20.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  13. 13.

    Smith CM, Wright NP, Wales JK, Mackenzie C, Primhak RA, Eastell R, Walsh JS. Very low birth weight survivors have reduced peak bone mass and reduced insulin sensitivity. Clin Endocrinol. 2011;75(4):443–9.

    Article  CAS  Google Scholar 

  14. 14.

    Timmler T, Wierusz-Kozlowska M, Wozniak W, Markuszewski J, Lempicki A. Development and remodeling of the hip joint of preterm neonates in sonographic evaluation. Ortop Traumatol Rehabil. 2003;5(6):703–11.

    PubMed  Google Scholar 

  15. 15.

    Downs JA, Edwards AD, McCormick DC, Roth SC, Stewart AL: Effect of intervention on development of hip posture in very preterm babies. Arch Dis Child 1991, 66(7 Spec No):797–801.

  16. 16.

    Coughlin M, Lohman MB, Gibbins S. Reliability and effectiveness of an infant positioning assessment tool to standardize developmentally supportive positioning practices in the neonatal intensive care unit. Newborn Infant Nurs Rev. 2010;10(2):104–6.

    Article  Google Scholar 

  17. 17.

    Sandell LJ. Etiology of osteoarthritis: genetics and synovial joint development. Nat Rev Rheumatol. 2012;8(2):77–89.

    Article  PubMed  CAS  Google Scholar 

  18. 18.

    Murphy NJ, Eyles JP, Hunter DJ. Hip osteoarthritis: etiopathogenesis and implications for management. Adv Ther. 2016;33(11):1921–46.

    Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Hilder L, Zhichao Z, Parker M, Jahan S, Chambers GM. Australia’s mothers and babies 2012. Perinatal statistics series no. 30. Cat. no. PER 69. Canberra: AIHW; 2014.

    Google Scholar 

  20. 20.

    Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, Adler A, Vera Garcia C, Rohde S, Say L, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012;379(9832):2162–72.

    Article  PubMed  Google Scholar 

  21. 21.

    Martin JA, Hamilton BE, Ventura SJ, Menacker F, Park MM. Births: final data for 2000. Natl Vital Stat Rep. 2002;50(5):1–101.

    Google Scholar 

  22. 22.

    Glinianaia SV, Ghosh R, Rankin J, Pearce MS, Parker L, Pless-Mulloli T. No improvement in socioeconomic inequalities in birthweight and preterm birth over four decades: a population-based cohort study. BMC Public Health. 2013;13(1):345.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    OECD. Health at a Glance 2015: OECD Indicators. Paris: OECD Publishing; 2015. http://dx.doi.org/10.1787/health_glance-2015-en.

  24. 24.

    Bongaarts J, Blanc AK. Estimating the current mean age of mothers at the birth of their first child from household surveys. Popul Health Metrics. 2015;13:25.

    Article  Google Scholar 

  25. 25.

    Goisis A, Remes H, Barclay K, Martikainen P, Myrskyla M. Advanced maternal age and the risk of low birth weight and preterm delivery: a within-family analysis using Finnish population registers. Am J Epidemiol. 2017;186(11):1219–26.

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9. W264

    Article  PubMed  Google Scholar 

  27. 27.

    National Heart Lung and Blood Institute website. Development and use of quality assessment tools. Available online at; http://www.nhlbi.nih.gov/health-pro/guidelines/in-develop/cardiovascular-risk-reduction/tools/cohort%23. Accessed 17 May 2016.

  28. 28.

    Hill AB. The environment and disease: association or causation? Proc R Soc Med. 1965;58(5):295–300.

    PubMed  PubMed Central  CAS  Google Scholar 

  29. 29.

    Li Z, McNally L, Hilder L, Sullivan EA. Australia’s mothers and babies 2009. Perinatal statistics series no. 25. Cat. no. PER 52. Sydney: AIHW National Perinatal Epidemiology and Statistics Unit; 2011.

    Google Scholar 

  30. 30.

    AIHW. Australia's mothers and babies 2013—in brief. Perinatal statistics series no. 31. Cat. no. PER 72. Canberra: AIHW; 2015.

    Google Scholar 

  31. 31.

    Australian Orthopaedic Association. National Joint Replacement Registry. Annual Report. Adelaide: AOA; 2015.

    Google Scholar 

  32. 32.

    Hussain SM, Wang Y, Wluka AE, Shaw JE, Magliano DJ, Graves S, Cicuttini FM. Association of low birth weight and preterm birth with the incidence of knee and hip arthroplasty for osteoarthritis. Arthritis Care Res (Hoboken). 2015;67(4):502–8.

    Article  Google Scholar 

  33. 33.

    Peel TN, Cheng AC, Liew D, Buising KL, Lisik J, Carroll KA, Choong PF, Dowsey MM. Direct hospital cost determinants following hip and knee arthroplasty. Arthritis Care Res (Hoboken). 2015;67(6):782–90.

    Article  CAS  Google Scholar 

  34. 34.

    Clynes MA, Parsons C, Edwards MH, Jameson KA, Harvey NC, Sayer AA, Cooper C, Dennison EM. Further evidence of the developmental origins of osteoarthritis: results from the Hertfordshire Cohort Study. J Dev Orig Health Dis. 2014;5(6):453–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. 35.

    Chan A, KA MC, Cundy PJ, Haan EA, Byron-Scott R. Perinatal risk factors for developmental dysplasia of the hip. Arch Dis Child Fetal Neonatal Ed. 1997;76(2):F94–100.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. 36.

    Davis PM, Robinson R, Harris L, Cartlidge PH. Persistent mild hip deformation in preterm infants. Arch Dis Child. 1993;69(5):597–8.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. 37.

    Orak MM, Onay T, Gumustas SA, Gursoy T, Muratli HH. Is prematurity a risk factor for developmental dysplasia of the hip? A prospective study. Bone Joint J. 2015;97-b(5):716–20.

    Article  PubMed  CAS  Google Scholar 

  38. 38.

    Altman R, Alarcón G, Appelrouth D, Bloch D, Borenstein D, Brandt K, Brown C, Cooke TD, Daniel W, Feldman D, et al. The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hip. Arthritis Rheum. 1991;34(5):505–14.

    Article  PubMed  CAS  Google Scholar 

  39. 39.

    Hunter DJ, Guermazi A, Roemer F, Zhang Y, Neogi T. Structural correlates of pain in joints with osteoarthritis. Osteoarthr Cartil. 2013;21(9):1170–8.

    Article  PubMed  CAS  Google Scholar 

  40. 40.

    Kim C, Nevitt MC, Niu J, Clancy MM, Lane NE, Link TM, Vlad S, Tolstykh I, Jungmann PM, Felson DT, et al. Association of hip pain with radiographic evidence of hip osteoarthritis: diagnostic test study. BMJ. 2015;351:h5983.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. 41.

    Edwards MH, van der Pas S, Denkinger MD, Parsons C, Jameson KA, Schaap L, Zambon S, Castell MV, Herbolsheimer F, Nasell H, et al. Relationships between physical performance and knee and hip osteoarthritis: findings from the European Project on Osteoarthritis (EPOSA). Age Ageing. 2014;43(6):806–13.

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Engesaeter IO, Lie SA, Lehmann TG, Furnes O, Vollset SE, Engesaeter LB. Neonatal hip instability and risk of total hip replacement in young adulthood: follow-up of 2,218,596 newborns from the Medical Birth Registry of Norway in the Norwegian Arthroplasty Register. Acta Orthop. 2008;79(3):321–6.

    Article  PubMed  Google Scholar 

  43. 43.

    Engesaeter IO, Lehmann T, Laborie LB, Lie SA, Rosendahl K, Engesaeter LB. Total hip replacement in young adults with hip dysplasia: age at diagnosis, previous treatment, quality of life, and validation of diagnoses reported to the Norwegian Arthroplasty Register between 1987 and 2007. Acta Orthop. 2011;82(2):149–54.

    Article  PubMed  PubMed Central  Google Scholar 

  44. 44.

    Eastwood DM. Neonatal hip screening. The Lancet. 2003;361(9357):595-7.

  45. 45.

    Ichiba H, Shintaku H, Fujimaru M, Hirai C, Okano Y, Funato M. Bone mineral density of the lumbar spine in very-low-birth-weight infants: a longitudinal study. Eur J Pediatr. 2000;159(3):215–8.

    Article  PubMed  CAS  Google Scholar 

  46. 46.

    Harris WH. Etiology of osteoarthritis of the hip. Clin Orthop Relat Res. 1986;213:20–33.

    Google Scholar 

  47. 47.

    Lane NE, Lin P, Christiansen L, Gore LR, Williams EN, Hochberg MC, Nevitt MC. Association of mild acetabular dysplasia with an increased risk of incident hip osteoarthritis in elderly white women: the study of osteoporotic fractures. Arthritis Rheum. 2000;43(2):400–4.

    Article  PubMed  CAS  Google Scholar 

  48. 48.

    Aly H, Moustafa MF, Amer HA, Hassanein S, Keeves C, Patel K. Gestational age, sex and maternal parity correlate with bone turnover in premature infants. Pediatr Res. 2005;57(5 Pt 1):708–11.

    Article  PubMed  CAS  Google Scholar 

  49. 49.

    Durand M, Komarova SV, Bhargava A, Trebec-Reynolds DP, Li K, Fiorino C, Maria O, Nabavi N, Manolson MF, Harrison RE, et al. Monocytes from patients with osteoarthritis display increased osteoclastogenesis and bone resorption: the In Vitro Osteoclast Differentiation in Arthritis study. Arthritis Rheum. 2013;65(1):148–58.

    Article  PubMed  CAS  Google Scholar 

  50. 50.

    Shibakawa A, Yudoh K, Masuko-Hongo K, Kato T, Nishioka K, Nakamura H. The role of subchondral bone resorption pits in osteoarthritis: MMP production by cells derived from bone marrow. Osteoarthr Cartil. 2005;13(8):679–87.

    Article  PubMed  CAS  Google Scholar 

  51. 51.

    Clarke NMP, Reading IC, Corbin C, Taylor CC, Bochmann T. Twenty years experience of selective secondary ultrasound screening for congenital dislocation of the hip. Arch Dis Child. 2012;97(5):423-9.

  52. 52.

    Oden RP, Powell C, Sims A, Weisman J, Joyner BL, Moon RY. Swaddling: will it get babies onto their backs for sleep? Clin Pediatr (Phila). 2012;51(3):254–9.

    Article  Google Scholar 

  53. 53.

    Clarke NMP. Swaddling and hip dysplasia: an orthopaedic perspective. Arch Dis Child. 2014;99(1):5.

    Article  PubMed  CAS  Google Scholar 

  54. 54.

    Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, Bridgett L, Williams S, Guillemin F, Hill CL, et al. The global burden of hip and knee osteoarthritis: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis. 2014;73(7):1323–30.

    Article  PubMed  Google Scholar 

  55. 55.

    Barros FC, Barros AJ, Villar J, Matijasevich A, Domingues MR, Victora CG. How many low birthweight babies in low- and middle-income countries are preterm? Rev Saude Publica. 2011;45(3):607–16.

    Article  PubMed  Google Scholar 

  56. 56.

    Yasmin S, Osrin D, Paul E, Costello A. Neonatal mortality of low-birth-weight infants in Bangladesh. Bull World Health Organ. 2001;79(7):608–14.

    PubMed  PubMed Central  CAS  Google Scholar 

  57. 57.

    Kadam UT, Blagojevic M, Belcher J. Statin use and clinical osteoarthritis in the general population: a longitudinal study. J Gen Intern Med. 2013;28(7):943–9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. 58.

    Backstrom MC, Kuusela AL, Maki R. Metabolic bone disease of prematurity. Ann Med. 1996;28(4):275–82.

    Article  PubMed  CAS  Google Scholar 

  59. 59.

    Li Z, Zeki R, Hilder L, Sullivan EA. Australia’s mothers and babies 2010. Perinatal statistics series no. 27. Cat. no. PER 57. Canberra: AIHW National Perinatal Epidemiology and Statistics Unit; 2012.

Download references

Funding

The systematic review and economic evaluation was not funded by any funding body. YW is the recipient of a National Health and Medical Research Council (NHMRC) Career Development Fellowship (Clinical Level 1, APP1065464).

Availability of data and materials

All data generated and/or analysed during this study are included in this published article.

Author information

Affiliations

  1. School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia

    Sultana Monira Hussain, Ilana N. Ackerman, Yuanyuan Wang, Ella Zomer & Flavia M. Cicuttini

Authors
  1. Sultana Monira Hussain
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ilana N. Ackerman
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yuanyuan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ella Zomer
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Flavia M. Cicuttini
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SMH, FMC, INA, and YW were involved in the conception of the systematic review. SMH and INA assessed the eligibility of studies to be included and extracted data. INA and YW were involved in the quality assessment of the included studies. EZ performed the economic modelling. SMH drafted the initial manuscript. SMH, INA, YW, EZ, and FMC were involved in interpretation of the data. All the authors revised the manuscript and gave final approval. FMC is the guarantor.

Corresponding author

Correspondence to Sultana Monira Hussain.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

All authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare that: 1) SMH, INA, YW, EZ, and FMC have no support from any company for the submitted work; 2) SMH, INA, YW, EZ, and FMC have no relationships with any companies that might have an interest in the submitted work in the previous 3 years; 3) their spouses, partners, or children have no financial relationships that may be relevant to the submitted work; and 4) SMH, INA, YW, EZ, and FMC have no financial interests that may be relevant to the submitted work. All the authors have consented for publication and have checked the reliability of the published data.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Table S1. Risk of bias assessment of cohort and cross-sectional studies. Table S2. Risk of bias assessment of case-control studies. (DOCX 28 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Hussain, S.M., Ackerman, I.N., Wang, Y. et al. Could low birth weight and preterm birth be associated with significant burden of hip osteoarthritis? A systematic review. Arthritis Res Ther 20, 121 (2018). https://doi.org/10.1186/s13075-018-1627-7

Download citation

Keywords

  • Low birth weight
  • Preterm birth
  • Hip osteoarthritis
  • Total hip arthroplasty
  • Economic evaluation

Arthritis Research & Therapy

ISSN: 1478-6362

Contact us