New score including daily life independence levels with dementia is associated with the onset of deep vein thrombosis in frail older adults

Factors associated with the introduction of visiting-pharmacist services in older adults in Japan: A nested case-control study

AIM

To investigate the factors associated with introducing visiting-pharmacist services for community-dwelling older adults in Japan.

METHODS

We conducted a nested case-control study using claims data in a cohort from a city in Tokyo. Patients aged ≥65 years who received visiting-pharmacist services for the first time between April 2014 and March 2020 were considered case patients. A maximum of four controls to each case patient were randomly selected on the basis of sex, age, health insurance systems, and month-year. Medical and long-term care service usage and patient condition were assessed using claims data from the index and preceding months, along with long-term care needs certification data. Multivariable conditional logistic regression analysis was conducted to estimate the adjusted odds ratios with 95% confidence intervals for factors associated with visiting-pharmacist service introduction.

RESULTS

A total of 22 949 participants (4591 cases and 18 358 controls) were included, with a median age of 85 years; 59.3% were women. The adjusted odds ratios (95% confidence intervals) of the three most related factors were 27.61 (23.98-31.80) for physicians' home visits, 5.83 (5.08-6.70) for hospitalization, and 4.97 (4.16-5.95) for designated-facility admission. Factors such as prescribing ≧10 medications, visiting nursing, and cancer were positively associated. In contrast, low household income and a high need for support due to cognitive function or disability were negatively associated.

CONCLUSIONS

This study provides insights into the introduction of visiting-pharmacist services for older adults in Japan. Geriatr Gerontol Int 2024; 24: 344-351.

Incidence and risk factors of perioperative deep vein thrombosis in patients undergoing primary hip arthroplasty via the direct anterior approach

BACKGROUND

Deep vein thrombosis (DVT) is a frequent complication following hip arthroplasty. There still has been a lack of studies analyzing the perioperative risk factors of DVT following hip arthroplasty via direct anterior approach (DAA).

METHODS

Patients who underwent unilateral primary hip arthroplasty via DAA in our hospital from August 2015 to January 2022 were included. Patients' data, including demographic data, clinical features, past medical history, operative data, and laboratory data, were analyzed and compared between patients with and without DVT. Logistic regression analysis was conducted to identify the independent risk factors. Receiver operating characteristic (ROC) curve analysis was used to assess the best cutoff value of continuous variables with statistical significance.

RESULT

A total of 651 patients were included. The incidence of DVT before and after hip arthroplasty was 12.7% and 6.7%, respectively. Logistic regression analysis indicated that age ≥ 65 years (OR 4.594, 95% CI 1.994-10.587), women (OR 2.331, 95% CI 1.285-4.227), and cerebral infarction (OR 1.984, 95% CI 1.138-3.460) were independent risk factors for preoperative DVT. And age ≥ 65 years (OR 4.859, 95% CI 1.062-22.226), tumor (OR 3.622, 95% CI 1.108-11.841), and preoperative D-dimer (OR 1.040, 95% CI 1.004-1.078) were risk factors for postoperative DVT. The ROC curve analysis showed that the best cutoff value of preoperative D-dimer for the diagnosis of postoperative DVT is 1.44 mg/L.

CONCLUSIONS

The incidence of DVT in patients undergoing DAA hip arthroplasty was low and the occurrence of DVT before and after unilateral primary hip arthroplasty performed through DAA was related to multiple factors.

The Use of Machine Learning Techniques to Predict Deep Vein Thrombosis in Rehabilitation Inpatients

BACKGROUND

Rehabilitation is crucial to recovering patients' dysfunction, improving their life quality, and promoting an early return to their family and society. In China, most patients in rehabilitation units are patients transferred from neurology, neurosurgery, and orthopedics, and most of these patients face problems such as continuously bedridden or varying degrees of limb dysfunction, all of which are risk factors for deep venous thrombosis. The formation of deep venous thrombosis can delay the recovery process and result in significant morbidity, mortality, and higher healthcare costs, so early detection and individualized treatment are needed. Machine learning algorithms can help develop more precise prognostic models, which can be of great significance in the development of rehabilitation training programs. In this study, we aimed to develop a model of deep venous thrombosis for inpatients in the Department of Rehabilitation Medicine at the Affiliated Hospital of Nantong University using machine learning methods.

METHODS

We analyzed and compared 801 patients in the Department of Rehabilitation Medicine using machine learning. Support vector machine, logistic regression, decision tree, random forest classifier, and artificial neural network were used to build models.

RESULTS

Artificial neural network was the better predictor than other traditional machine learnings. D-dimer levels, bedridden time, Barthel Index, and fibrinogen degradation products were common predictors of adverse outcomes in these models.

CONCLUSIONS

Risk stratification can help healthcare practitioners to achieve improvements in clinical efficiency and specify appropriate rehabilitation training programs.

Popliteal Blood Flow With Lower-Extremity Injury Mobility Devices

BACKGROUND

Ambulation devices may differ in their utility, muscle activation patterns, and how they affect regional blood flow. This study aimed to evaluate popliteal blood flow and vessel dimensions in response to ambulation with a hands-free crutch (HFC), axillary crutches (AC), a medical kneeling scooter (MKS), and regular walking in healthy adults.

METHODS

HFC, AC, MKS, and regular walking were completed in a random order by 40 adults aged 18-45 years. Participants ambulated at a comfortable pace for 10 minutes with each device. At baseline and immediately following each trial, a trained operator used diagnostic ultrasonography to capture popliteal vein and artery dimensional and flow characteristics.

RESULTS

Significant increases were observed from baseline (0.65 ± 0.23 cm) in venous diameter following walking (0.71 ± 0.21 cm, P = .012) and MKS (0.73 ± 0.21 cm, P = .003). Venous blood flow was also significantly different between conditions (P = .009) but was only greater following walking (124 ± 79 mL/min) compared to MKS (90 ± 64 mL/min, P = .021). No differences were observed in arterial dimensions between ambulation conditions. Significant increases were found in arterial blood flow from baseline (107 ± 69 mL/min) following walking (184 ± 97 mL/min, P < .001) and HFC (163 ± 86 mL/min, P < .001). Arterial blood flow following walking was greater than AC (132 ± 72 mL/min, P = .016) and MKS (128 ± 74 mL/min, P = .003).

CONCLUSION

We found an average decrease in venous time-averaged mean velocity between walking and use of the MKS, but no such decrease with either HFCs or use of ACs in this healthy experimental cohort.

LEVEL OF EVIDENCE

Level III, diagnostic comparative study.