Aims. Outcome measures quantifying aspects of health in a precise,
efficient, and user-friendly manner are in demand. Computer adaptive
tests (CATs) may overcome the limitations of established fixed scales
and be more adept at measuring outcomes in
Neurogenic heterotopic ossification (NHO) is
a disorder of aberrant bone formation affecting one in five patients sustaining
a spinal cord injury or traumatic brain injury. Ectopic bone forms
around joints in characteristic patterns, causing pain and limiting
movement especially around the hip and elbow. Clinical sequelae
of neurogenic heterotopic ossification include urinary tract infection,
pressure injuries, pneumonia and poor hygiene, making early diagnosis
and treatment clinically compelling. However, diagnosis remains
difficult with more investigation needed. Our pathophysiological
understanding stems from mechanisms of basic bone formation enhanced
by evidence of systemic influences from circulating humor factors
and perhaps neurological ones. This increasing understanding guides
our implementation of current prophylaxis and treatment including
the use of non-steroidal anti-inflammatory drugs, bisphosphonates,
radiation therapy and surgery and, importantly, should direct future, more
effective ones.
This study aimed to investigate the risk of postoperative complications in COVID-19-positive patients undergoing common orthopaedic procedures. Using the National Surgical Quality Improvement Programme (NSQIP) database, patients who underwent common orthopaedic surgery procedures from 1 January to 31 December 2021 were extracted. Patient preoperative COVID-19 status, demographics, comorbidities, type of surgery, and postoperative complications were analyzed. Propensity score matching was conducted between COVID-19-positive and -negative patients. Multivariable regression was then performed to identify both patient and provider risk factors independently associated with the occurrence of 30-day postoperative adverse events.Aims
Methods
Traumatic central cord syndrome (CCS) typically follows a hyperextension injury and results in motor impairment affecting the upper limbs more than the lower, with occasional sensory impairment and urinary retention. Current evidence on mortality and long-term outcomes is limited. The primary aim of this study was to assess the five-year mortality of CCS, and to determine any difference in mortality between management groups or age. Patients aged ≥ 18 years with a traumatic CCS between January 2012 and December 2017 in Wales were identified. Patient demographics and data about injury, management, and outcome were collected. Statistical analysis was performed to assess mortality and between-group differences.Aims
Methods
The COVID-19 virus is a tremendous burden for the Italian health system. The regionally-based Italian National Health System has been reorganized. Hospitals' biggest challenge was to create new intensive care unit (ICU) beds, as the existing system was insufficient to meet new demand, especially in the most affected areas. Our institution in the Milan metropolitan area of Lombardy, the epicentre of the infection, was selected as one of the three regional hub for major
Aims. The timing of surgical fixation in spinal fractures is a contentious topic. Existing literature suggests that early stabilization leads to reduced morbidity, improved neurological outcomes, and shorter hospital stay. However, the quality of evidence is low and equivocal with regard to the safety of early fixation in the severely injured patient. This paper compares complication profiles between spinal fractures treated with early fixation and those treated with late fixation. Methods. All patients transferred to a national tertiary spinal referral centre for primary surgical fixation of unstable spinal injuries without preoperative neurological deficit between 1 July 2016 and 20 October 2017 were eligible for inclusion. Data were collected retrospectively. Patients were divided into early and late cohorts based on timing from initial
The aim of this study was to describe services available to patients with periprosthetic femoral fracture (PPFF) in England and Wales, with focus on variation between centres and areas for care improvement. This work used data freely available from the National Hip Fracture Database (NHFD) facilities survey in 2021, which asked 21 questions about the care of patients with PPFFs, and nine relating to clinical decision-making around a hypothetical case.Aims
Methods
To examine whether natural language processing (NLP) using a clinically based large language model (LLM) could be used to predict patient selection for total hip or total knee arthroplasty (THA/TKA) from routinely available free-text radiology reports. Data pre-processing and analyses were conducted according to the Artificial intelligence to Revolutionize the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project protocol. This included use of de-identified Scottish regional clinical data of patients referred for consideration of THA/TKA, held in a secure data environment designed for artificial intelligence (AI) inference. Only preoperative radiology reports were included. NLP algorithms were based on the freely available GatorTron model, a LLM trained on over 82 billion words of de-identified clinical text. Two inference tasks were performed: assessment after model-fine tuning (50 Epochs and three cycles of k-fold cross validation), and external validation.Aims
Methods
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