Other Flashcards

1
Q

Survey of UK veterinary students’ perceptions about a career in equine practice

A

20% of students reported an intention to work in equine practice, but risk of selection bias.
The results indicate a potential mismatch between the number of students interested in equine practice and the availability of equine jobs for new graduates.
Students with pre-existing equine interest/experience are more likely to want to enter equine practice.
EMS appears important for students’ training in equine medicine

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2
Q

Comparison of plasma l-lactate between jugular and cephalic veins in healthy and systemically ill horses using a point-of-care device

A

• Plasma L-lactate (LAC) values were significantly higher in cephalic vein (CV) samples compared to jugular vein (JV) samples in both healthy and systemically ill horses:
• Healthy horses: JV median 0.8 mmol/L; CV mean 1.5 ± 0.4 mmol/L.
• Systemically ill horses: JV median 1.9 mmol/L; CV median 2.9 mmol/L.
• In systemically ill horses, CV values often exceeded the normal reference range, while JV values remained within normal limits.
• LAC values were significantly higher in systemically ill horses than in healthy horses at both venipuncture sites (P < 0.001).

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3
Q

Noncontact infrared thermometer measurements offer a reasonable alternative to rectal temperature measurement in afebrile horses

A

Infrared thermometer measurements from the perineum and eye correlated significantly with rectal temperature readings:
• Perineum: R = 0.57, P < 0.001.
• Eye: R = 0.37, P < 0.001.
• Other sites (gingiva, axilla, neck) showed lower correlations or were unreliable.

Reference ranges (in climate-controlled conditions) for rectal and infrared thermometer readings:
• Rectal: 36.7–38.6 °C.
• Perineum: 36.0–37.8 °C.
• Eye: 35.7–37.1 °C.
Bias and agreement analysis supported the use of correction factors:
• Perineum: +0.77 °C.
• Eye: +1.23 °C.

Outdoor Measurements:
• Infrared measurements were less consistent in outdoor settings with cold ambient temperatures (<10 °C).
• Increased variance observed at the eye (P = 0.002), gingiva (P = 0.047), and perineum (P = 0.005).
• Infrared readings at the eye remained reliable outdoors, but perineum readings were significantly affected.
• The infrared thermometer was designed for use between 10–40 °C, limiting its effectiveness in extreme outdoor conditions.

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4
Q

Clinical predictive models in equine medicine: A systematic review

A

• 90 predictive models from 63 peer-reviewed articles, including nine external validation studies.
• Most models (41%) addressed colic, followed by neonatal illnesses (12%) and chronic pulmonary diseases (10%).

Model Development:
• Logistic regression was the most frequently used method (66% of models), followed by discriminant analysis (9%) and partial least squares regression (7%).
• Most models were developed in academic settings (80%) within North America (65%) and Europe (33%).
Model Performance:
• Calibration metrics were reported in 41% of models, primarily using Hosmer-Lemeshow tests, despite its known limitations.
• Discrimination (AUC/C-statistic) was reported in 38% of models, with 39% achieving AUC > 0.9, indicating outstanding discrimination.
Risk of Bias (ROB):
• All models exhibited a high ROB, attributed to:
-Exclusion of cases with missing data (complete case analysis).
-Univariate screening of predictors.
-Lack of correction for overfitting.
• 70% of models lacked validation, raising concerns about their applicability to new populations.

Common Applications of Predictive Models
• Colic Models:
-37 models focused on colic, with the most common outcome being survival to hospital discharge.
-Top predictors for short-term survival included: Heart rate, packed cell volume, and mucous membrane characteristics.
-Four models predicted the need for exploratory laparotomy, incorporating rectal palpation findings and peritoneal fluid analysis.
• Neonatal Illness Models:
- 11 models targeted neonatal sepsis and short-term survival.
-Common predictors for sepsis included serum IgG levels, band neutrophil count, and neutrophil toxic changes.
• Other Conditions: Models addressed chronic pulmonary diseases, infectious diseases, lameness/ataxia, and rare conditions like equine atypical myopathy.
• Limited focus on emerging conditions or diseases with complex pathophysiology.

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5
Q

Retrospective evaluation of factors associated with emergency frequency and survival in equids presenting for emergency care (2019-2020): 3071 cases

A

Climate Influence:
• Higher average barometric pressure and decreases in barometric pressure were associated with increased emergency admissions.
• Higher maximum daily temperatures correlated with higher emergency rates.
Temporal Patterns:
• Mondays had the highest number of daily emergencies (P < 0.001).
• Summer and fall months (June through November) showed increased emergency rates.

Overall Survival:
• Survival rate for all emergencies was 89%.
• Primary emergencies had a higher survival rate (92%) compared to referral emergencies (68%; OR = 5.2, P < 0.0001).

Critical Factors for Nonsurvival:
Primary emergencies:
• Increased age (P < 0.001).
• Higher heart rates (P < 0.001).
• Absent or decreased gastrointestinal sounds (P < 0.001).
Combined primary and referral emergencies:
• Elevated PCV l (OR = 1.079, P < 0.001).
• Absent GIT sounds

• Clinicians with 1–4 years of experience had better survival outcomes compared to less experienced (<1 year) and highly experienced (>4 years) veterinarians, likely reflecting differences in case severity handled by each group.

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6
Q

Precision and accuracy of a point of care glucometer for detection of hypoglycaemia in horses

A

The point-of-care (POC) glucometer demonstrated lower precision compared to laboratory (LAB) methods:
• Repeatability coefficient (RC):
-POC: 0.47 mmol/L.
-LAB: 0.09 mmol/L.
• Coefficient of variation (CV):
-POC: 9.95% (exceeded the acceptable threshold of ≤5%).
-LAB: 2.11%.

• POC glucometer consistently underestimated glucose concentrations compared to LAB results:
-Mean bias: -0.26 mmol/L.
-Limits of agreement (LOA): -0.88 to 0.37 mmol/L.
-Only 69% of POC measurements were within 20% of LAB results, and fewer than 14% were within 5%.

Clinical Relevance:
• Despite measurement error, the POC glucometer provided adequate repeatability for identifying hypoglycemia, defined as glucose <4 mmol/L.
• The total error (TE) for POC was 32.6%, exceeding the allowable limit of 10% for hypoglycemic samples.
• Previous research showed greater glucometer error in hyperglycemia compared to euglycemia; this study confirmed similar variability in hypoglycemia.

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7
Q

Evaluation of medial saphenous venous pressures as an indirect method of measuring intra-abdominal pressures in the horse

A

Medial saphenous venous pressure (MSVP) strongly correlated with intra-abdominal pressure (IAP) in horses during induced pneumoperitoneum with carbon dioxide:
• Intraclass correlation coefficient (ICC): 0.92 (P < 0.001).
• Repeated measures correlation: r = 0.98 (P < 0.001).
• Bland-Altman analysis showed MSVP overestimated IAP by a mean bias of 15.7 mmHg, with wide limits of agreement (7.4–24.1 mmHg).

MSVP increased stepwise with IAP:
• Significant rise in MSVP observed at 20 mmHg (P < 0.03).
• Respiratory rate increased significantly with higher IAP (P < 0.001), reflecting thoracic compliance reduction.
• Mean arterial blood pressure (MAP) also increased as IAP rose, with significant differences noted at 15 mmHg (P = 0.04).

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8
Q

Retrospective analysis of post-mortem findings in Thoroughbreds aged from birth to 18 months presented to a UK pathology laboratory

A

Mortality Patterns:
• Median age at post-mortem (PM): 21 days (IQR: 2–118 days).
• Neonatal period (0–2 days) had the highest mortality, with congenital deformities as the leading cause.

Common Pathologies:
• Congenital Defects (20.4% of cases):
-Predominantly musculoskeletal (75%), such as flexural deformities of the carpi and fetlocks.
-Often resulted in euthanasia within the first 2 days of life.
• Pneumonia (14.6%):
-Median age at PM: 53 days.
-Rhodococcus equi identified in 50% of cases, followed by Streptococcus spp. (20%).
• Neonatal Sepsis/Maladjustment Syndrome (NSM) (12.4%):
-Median age at PM: 3 days.
-Hypoxia and Streptococcus spp. were common contributing factors.
• Enteritis/Colitis (10.9%):
-Median age at PM: 91 days.
-Infectious agents included Clostridium perfringens and E. coli.
• Gastrointestinal Rupture/Obstruction (8.8%):
-Parasites (e.g., ascarids, tapeworms) were implicated in 25% of cases.
• Fractures (6.7%):
-Rib fractures (44%) often caused secondary injuries (e.g., lung or heart lacerations).

Infectious Pathogens:
• Identified in 33% of cases, with R. equi being the most prevalent pathogen.

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9
Q

Efficacy of treatment of equine anhidrosis with acupuncture and Chinese herbs is low but higher in treated horses compared with placebo

A

Immediate response (2 days post-treatment):
• Treated horses showed significantly higher sweat response ratios at certain terbutaline concentrations (1.0, 100, and 1,000 µg/mL) compared to the placebo group.
• 26% (5/19) of treated horses exhibited a ≥2-fold increase in sweat response compared to 4% (1/25) in the placebo group.
Sustained response (4 weeks post-treatment):
• Differences in sweat responses between groups were not statistically significant.
• One treated horse maintained an increased sweat response at 0.1 µg/mL terbutaline, but this was not significant (P = 0.07).

Efficacy:
• While treatment demonstrated some short-term benefits, the overall efficacy was low and results were not sustained beyond 4 weeks.

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10
Q

Clinical and biochemical factors associated with survival in equids attacked by dogs: 28 cases (2008-2016)

A

• The overall survival rate was 79%, comparable to other species subjected to similar trauma.

Key Predictors of Nonsurvival:
• Body Temperature: Lower body temperature was strongly associated with nonsurvival (P < 0.005). Survivors: Mean temperature 37.9°C vs. nonsurvivors: 36.1°C.
• Blood Lactate: Increased admission lactate levels were linked to worse outcomes (P < 0.005). Survivors: Mean lactate 3.1 mmol/L vs. nonsurvivors: 13.1 mmol/L.
• Total Protein: Lower serum total protein levels correlated with higher mortality (P = 0.006). Survivors: Mean 6.4 g/dL vs. nonsurvivors: 5.1 g/dL.
• Smaller equids (e.g., ponies, miniature horses) had significantly lower survival rates than full-sized horses: OR 0.02

Injury Patterns:
• Most common sites of injury were: Limbs: 79%. Face/Neck: 50%. Trunk: 29%.
Trauma Dynamics:
• Injuries involved complex trauma including puncture, crushing, and tearing, leading to tissue contamination and systemic complications such as:
- Hypoperfusion: Contributing to hypothermia and hyperlactatemia.
- Rhabdomyolysis: Suggested by elevated creatine kinase (CK) levels in nonsurvivors.
- SIRS

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11
Q

Survey of the knowledge and perceptions of horse owners in Ireland of common clinical conditions and their impact

A

Self-rated knowledge varied significantly among the eight conditions:
• Highest knowledge: Mud rash (84.1% rated as “very good”).
• Lowest knowledge: Equine Metabolic Syndrome (EMS, 42% rated as “very good”).
• EMS was the least known condition, with 18% of respondents having never heard of it.

Strong correlation between perceived impact on horses and emotional impact on owners:
• Strongest correlation: EMS (r = 0.62, P < 0.001).
• Weakest correlation: Arthritis (r = 0.36, P < 0.001).
• Owners believed EMS and equine asthma had the most severe impacts on horse activity and comfort.
• Mud rash was perceived to have the least impact.

Conditions causing the greatest emotional concern:
• EMS and equine asthma.

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