Research and Publication Ethics: The protocol applied for the management of cats has been approved by the Atatürk University Local Animal Experiments Ethics Committee (Decision No: 19, Decision Period: 2022/1). This retrospective study analyzed archived clinical records of cats presented to the Atatürk University Faculty of Veterinary Medicine Animal Hospital, Erzurum, Turkey, following high-rise falls between January 2020 and January 2022.
Medical records were retrieved from the hospital?s electronic and paper-based archive system and included emergency admission forms, clinical examination records, diagnostic imaging reports, laboratory data, and discharge or outcome notes. Only cases in which the traumatic event was explicitly recorded as a fall from an elevated structure, including windows, balconies, or similar heights, were considered for evaluation. Each case was reviewed individually, and the data extraction was performed using a standardized data collection form to ensure consistency across the records.
The Case Selection: Inclusion and Exclusion Criteria: An initial screening identified 420 feline trauma presentations associated with suspected or documented falls from height. The cases were included if they met all of the following criteria: (i) documentation of high-rise fall as the primary trauma mechanism; (ii) recorded fall height expressed as number of floors or sufficient descriptive information allowing conversion to floor number; (iii) a complete neurological assessment at admission with all components of the MGCS, including motor activity, brainstem reflexes, and level of consciousness; (iv) documented clinical, radiographic, or ultrasonographic findings enabling identification of traumatic injuries or complications; and (v) availability of essential demographic and physical data, including age, sex, and body weight.
Cases were excluded if one or more of the following conditions were present: incomplete MGCS component data or recording of only a total MGCS score without individual sub scores; absence of documented traumatic findings or complication records; duplicate entries related to the same fall event; trauma etiologies other than falling, including traffic accidents, blunt force trauma, crush injuries, penetrating injuries, or unknown causes; or substantial missing clinical data precluding reliable analysis. Duplicate records were identified by cross-referencing patient identification, admission date and time, trauma history, and clinical findings, and only the initial presentation for each fall event was retained.
Demographic and Clinical Variables: For each included case, the demographic variables extracted from the records included age (months), sex (male or female), neuter status (neutered or intact), breed classification, and body weight (kg) measured at admission. Breeds were grouped into four categories: Tabby, British, Scottish, and Other breeds. Environmental variables included fall height expressed as the number of floors and the ground type at the impact site, categorized as concrete, soil, asphalt, or other surfaces based on owner-reported history or emergency intake documentation.
Neurological Assessment: Neurological status at presentation was assessed using the MGCS adapted for veterinary patients. Three components of neurological function are assessed and rated on a scale from 1 to 6: brainstem reflexes, motor activity, and consciousness level. A cumulative score is computed on a scale from 3 to 18, with a diminished score signifying increased trauma severity. The Animal Trauma Triage Score (ATT) is a veterinary metric employed to assess the severity of trauma. The grading system has six categories: perfusion, cardiac, respiratory, eye/muscle/integument, skeletal, and neurological. Each category receives a score between 0 and 3, resulting in a total score that ranges from 0 to 18. Based on total scores, neurological impairment was categorized as good15-18, guarded (9-14), or grave (3-8). A higher score signifies more severity of injury20.
Definition and Classification of Complications: Complications were defined as the presence of one or more clinically relevant traumatic abnormalities identified during the initial diagnostic evaluation. Documented complications included forelimb fractures, hind limb fractures, spinal injuries, head trauma, abdominal findings, respiratory system abnormalities, and clinical signs consistent with shock. For regression analyses, complication status was recorded as a binary variable indicating the presence or absence of at least one complication. Additionally, the anatomical distribution of complications was recorded for descriptive analysis.
Statistical Analyses: All statistical analyses were performed with SPSS, version 27.0 (SPSS Inc; IBM Corp). The distribution of continuous variables was evaluated with the Shapiro?Wilk test. Normally distributed variables were summarized as mean ± standard deviation, whereas non-normally distributed variables were reported as median (minimum?maximum). Categorical variables were expressed as frequencies and percentages. Prior to regression analyses, model assumptions were evaluated. For the multivariable linear regression model assessing factors associated with MGCS score, normality of residuals was examined using visual inspection of residual plots and normal probability plots, and homoscedasticity was assessed using residuals versus fitted value plots. Linearity between continuous predictors and the dependent variable was evaluated graphically. A multivariable linear regression model was constructed to identify independent factors associated with the MGCS score. Age (months), body weight, sex, neuter status, breed category (Tabby, British Shorthair, Scottish Fold, Other), ground type at the impact site (Concrete, Soil, Asphalt, Other), and fall height (number of floors) were included as predictor variables. Model coefficients, standard errors, and corresponding p-values were reported.
Independent risk factors for the development of complications were evaluated using multivariable logistic regression. The binary complication variable was defined as the presence of at least one clinically relevant abnormality, including forelimb or hind limb fractures, spinal injury, head trauma, abdominal findings, respiratory abnormalities, or clinical signs of shock. The same predictor variables used in the MGCS model were included. Linearity of continuous predictors with the logit was assessed graphically, and overall model fit was evaluated using goodness-of-fit statistics. Odds ratios (ORs) with 95% confidence intervals (CIs) were presented. Multicollinearity among predictors was assessed using variance inflation factors (VIF), and no significant collinearity was detected. Categories with low cell counts were regrouped to improve model stability. A two-tailed p-value <0.05 was considered statistically significant.