An independent inter- and intra-observer agreement assessment of the AOSpine upper cervical injury classification system.

BACKGROUND CONTEXT: The complex anatomy of the upper cervical spine resulted in numerous separate classification systems of upper cervical spine trauma. The AOSpine upper cervical classification system (UCCS) was recently described; however, an independent agreement assessment has not been performed. PURPOSE: To perform an independent evaluation of the AOSpine UCCS. STUDY DESIGN: Agreement study. PATIENT SAMPLE: Eighty-four patients with upper cervical spine injuries. OUTCOME MEASURES: Inter-observer agreement; intra-observer agreement. METHODS: Complete imaging studies of 84 patients with upper cervical spine injuries, including all morphological types of injuries defined by the AOSpine UCCS were selected and classified by six evaluators (from three different countries). The 84 cases were presented to the same raters randomly after a 4-week interval for repeat evaluation. The Kappa coefficient (κ) was used to determine inter- and intra-observer agreement. RESULTS: The interobserver agreement was almost perfect when considering the fracture site (I, II or III), with κ=0.82 (0.78-0.83), but the agreement according to the site and type level was moderate, κ=0.57 (0.55-0.65). The intra-observer agreement was almost perfect considering the injury, with κ=0.83 (0.78-0.86), while according to site and type was substantial, κ=0.69 (0.67-0.71). CONCLUSIONS: We observed only a moderate inter-observer agreement using this classification. We believe our results can be explained because this classification attempted to organize many different injury types into a single scheme.

Critical shoulder angle and failure of conservative treatment in patients with atraumatic full thickness rotator cuff tears.

BACKGROUND: Atraumatic full thickness rotator cuff tears (AFTRCT) are common lesions whose incidence increases with age. Physical therapy is an effective conservative treatment in these patients with a reported success rate near 85% within 12 weeks of treatment. The critical shoulder angle (CSA) is a radiographic metric that relates the glenoid inclination with the lateral extension of the acromion in the coronal plane. A larger CSA has been associated with higher incidence of AFTRCT and a higher re-tear rate after surgical treatment. However, no study has yet described an association between a larger CSA and failure of conservatory treatment in ARCT. The main objective of this study is to determine whether there is an association between CSA and failure of physical therapy in patients with AFTRCT. METHODS: We reviewed the imaging and clinical records of 48 patients (53 shoulders), 60% female, with a mean age of 63.2 years (95% CI ± 10.4 years); treated for AFTRCT who also underwent a true anteroposterior radiograph of the shoulder within a year of diagnosis of the tear. We recorded demographic (age, sex, type of work), clinical (comorbidities), and imaging data (CSA, size and location of the tear). We divided the patients into two groups according to success or failure of conservative treatment (indication for surgery), so 21 shoulders (39.6%) required surgery and were classified as failure of conservative treatment. Univariate and multivariate analysis was performed to detect predictors of failure of conservative treatment. RESULTS: The median CSA was 35.5º with no differences between those with failure (median 35.5º, range 29º to 48.2º) and success of conservative treatment (median 35.45º, range 30.2º to 40.3º), p = 0.978. The multivariate analysis showed a younger age in patients with failure of conservative treatment (56.14 ± 9.2 vs 67.8 ± 8.4, p < 0.001) and that male gender was also associated with failure of conservative treatment (57% of men required surgery vs 28% of women, p = 0.035). CONCLUSIONS: It is still unclear if CSA does predict failure of conservative treatment. A lower age and male gender both could predicted failure of conservative treatment in AFTRCT. Further research is needed to better address this subject.

An inter- and intra-rater agreement assessment of a novel classification of pyogenic spinal infections.

PURPOSE: Pola et al. described a clinical-radiological classification of pyogenic spinal infections (PSI) based on magnetic resonance imaging (MRI) features including vertebral destruction, soft tissue involvement, and epidural abscess, along with the neurological status. We performed an inter- and intra-observer agreement evaluation of this classification. METHODS: Complete MRI studies of 80 patients with PSI were selected and classified using the scheme described by Pola et al. by seven evaluators. After a four-week interval, all cases were presented to the same assessors in a random sequence for repeat assessment. We used the weighted kappa statistics (wκ) to establish the inter- and intra-observer agreement. RESULTS: The inter-observer agreement was substantial considering the main categories (wκ = 0.77; 0.71-0.82), but moderate considering the subtypes (wκ = 0.51; 0.45-0.58). The intra-observer agreement was substantial considering the main types (wκ = 0.65; 0.59-0.71), and moderate considering the subtypes (wκ = 0.58; 0.54-0.63). CONCLUSION: The agreement at the main type level indicates that this classification allows adequate communication and may be used in clinical practice; at the subtypes level, the agreement is only moderate.

An Independent Validation of the Brighton Spondylodiscitis Score and a Proposal to Modify the Score.

INTRODUCTION: The Brighton Spondylodiscitis Score (BSS) aims to identify patients with pyogenic spinal infections (PSIs) requiring surgery; an independent assessment of the BSS is required. METHODS: We evaluated 60 patients with PSIs. Using the BSS, we determined whether patients with low, moderate, and high risk (LMHR) had different rates of surgery. We proposed a modified score (MS) using a logistic regression (LOGR). Applying the MS, we determined whether patients with LMHR exhibited different rates of surgery. Another LOGR determined the association of the BSS and the MS with surgery. A C-statistic using the BSS and the MS was generated. RESULTS: We studied 60 patients (mean age = 63 years); 37 (62%) were men; 30 (50%) required surgery. Using the BSS, patients with LMHR had similar rates of surgery (P = 0.53). LOGR showed that cervical PSIs had a larger chance of surgery (odds ratio [OR] = 7.3 [1.1 to 51.3]) than other locations. Using the MS, patients with moderate- and high-risk were operated more frequently than low-risk patients (P = 0.04). The BSS did not predict surgery (OR = 1.07; P = 0.31), but the MS did (OR = 1.16; P = 0.02). The C-statistic using the BSS (0.59) improved using the MS (0.69), P = 0.03. DISCUSSION: The discriminatory capacity to predict surgery of the BSS augmented using the MS. LEVEL OF EVIDENCE: II (Diagnostic study: Transverse study).

Correction: Mangroves in the Galapagos islands: Distribution and dynamics.

[This corrects the article DOI: 10.1371/journal.pone.0209313.].

Mangroves in the Galapagos islands: Distribution and dynamics.

Mangrove forests provide valuable coastal protection from erosion, habitat for terrestrial and marine species, nursery grounds for commercial fisheries and are economically important for tourism. Galapagos' mangroves usually grow directly on solid lava and fragmented rocky shores, thereby stabilizing the sediment and facilitating colonisation by other plants and many animals. However, until very recently, only inaccurate data described mangrove coverage and its distribution. We mapped mangroves using freely available Google Earth Very High Resolution images based on on-screen classification and compared this method to three semi-automatic classification algorithms. We also analysed mangrove change for the period 2004-2014. We obtained an area of 3657.1 ha of fringing mangrove that covers 35% of the coastline. Eighty percent of mangrove cover is found in Isabela island, and 90% in the western and central south-eastern bioregions. The overall accuracy of mangrove classification was 99.1% with a Kappa coefficient of 0.97 when validated with field data. On-screen digitization was significantly more accurate than other tested methods. From the semi-automated methods, Maximum Likelihood Classification with prior land-sea segmentation yielded the best results. During the 2004-2014 period, mangrove coverage increased 24% mainly by expansion of existing mangroves patches as opposed to generation of new patches. We estimate that mangrove cover and growth are inversely proportional to the geological age of the islands. However, many other factors like nutrients, currents or wave exposure protection might explain this pattern. The precise localization of mangrove cover across the Galapagos islands now enables documenting whether it is changing over time.