Search Results (179)

Background: Delirium is a common, underdiagnosed neuropsychiatric syndrome in older adults, associated with high mortality and functional decline. Given its multifactorial nature and overlap with frailty, radiological markers may improve risk stratification in the emergency department (ED). Methods: We conducted a retrospective study on a small sample of 30 patients diagnosed with delirium in the emergency department who had recently undergone brain, thoracic, or abdominal CT scans for unrelated clinical indications. Using post-processing software, we analyzed radiological markers, including coronary artery calcifications (to estimate vascular age), cerebral atrophy (via the Global Cortical Atrophy scale), and cachexia (based on abdominal fat and psoas muscle volumetry). Results: Five domains were identified as significant predictors of 12-month mortality in univariate Cox regression: vascular age, delirium etiology, cerebral atrophy, delirium subtype (hyperactive vs. hypoactive), and cachexia. Based on these domains, we developed an exploratory 10-point delirium score. This score demonstrated acceptable diagnostic accuracy for mortality prediction (sensitivity 0.93, specificity 0.73, positive predictive value 0.77, negative predictive value 0.91) in this limited cohort. Conclusions: While preliminary and based on a small, retrospective sample of 30 patients, this multidimensional approach integrating clinical and radiological data may help improve risk stratification in elderly patients with delirium. Radiological phenotyping, particularly in terms of vascular aging and sarcopenia/cachexia, offers objective insights into patient frailty and could inform more personalized treatment pathways from the ED to safe discharge home, pending further validation. Full article

Background and Objectives: Adverse clinical outcomes are associated with malnutrition and frailty, which are highly prevalent among hospitalized older patients. This study aimed to evaluate their predictive value for the duration of hospitalization, short-term survival, and rehospitalization of patients admitted to internal medicine wards. Materials and Methods: This prospective cohort study included 134 acutely ill patients aged ≥50 years who were hospitalized in an internal medicine department and evaluated within the first 48 h of admission. Nutritional status was evaluated using the Mini nutritional assessment–short form (MNA-SF), Nutritional Risk Screening 2002 (NRS-2002), and Global Leadership Initiative on Malnutrition (GLIM) criteria. Frailty was evaluated using the FRAIL scale and Clinical Frailty Scale (CFS). The primary outcomes were prolonged hospitalization (>10 days), mortality, and rehospitalization at 3 and 6 months post-discharge. Results: According to MNA-SF, 33.6% of patients were malnourished; 44% had nutritional risk per NRS-2002, and 44.8% were malnourished per GLIM. Frailty prevalence was 53.7% (FRAIL) and 59% (CFS). Malnutrition defined by all three scales (MNA-SF, NRS-2002, GLIM) was significantly associated with prolonged hospitalization (p = 0.043, 0.014, and 0.023, respectively), increased rehospitalization at both 3 months (p < 0.001) and 6 months (p < 0.001). Mortality was also significantly higher among malnourished patients. Higher CFS scores and low handgrip strength were additional predictors of adverse outcomes (p < 0.05). In multivariable analysis, GLIM-defined malnutrition and CFS remained independent predictors of rehospitalization and mortality. Conclusions: Frailty and malnutrition are highly prevalent and independently associated with prolonged hospital stay, short-term rehospitalization and mortality. Routine screening at admission may facilitate early identification and guide timely interventions to improve patient outcomes. These findings might guide hospital protocols in aging health systems and support the development of standardized geriatric care pathways. Full article

Background/Objectives: Clinical stability within 24 h prior to discharge is a key metric for safe care transitions in hospitalised patients with community-acquired pneumonia (CAP). However, its association with post-discharge outcomes, particularly readmissions, remains underexplored. This study assessed whether clinical instability before discharge is associated with 30-day mortality, readmissions, or a composite of both in hospitalised CAP patients. Methods: This retrospective cohort study included adults (≥18 years) admitted with CAP to two tertiary Australian hospitals between 1 January 2020 and 31 December 2023. Clinical instability was defined as abnormal vital signs (temperature, heart rate, respiratory rate, blood pressure, or oxygen saturation) within 24 h before discharge. Pneumonia severity was assessed using the CURB-65 score and frailty using the Hospital Frailty Risk Score. Multilevel logistic regression models were used to evaluate associations with outcomes, adjusting for age, sex, comorbidities, frailty, disease severity, microbiological aetiology, antibiotics prescribed during admission, and prior healthcare use. Competing risk regression accounted for death when analysing readmissions. Results: Of 3984 patients, 20.4% had clinical instability within 24 h before discharge. The composite outcome occurred in 21.9% patients, with 15.8% readmitted and 6.1% dying within 30 days. Clinical instability was significantly associated with the composite outcome (adjusted odds ratio [aOR] 1.73, 95% CI 1.42–2.09, p < 0.001), primarily driven by increased mortality risk (aOR 3.70, 95% CI 2.73–5.00, p < 0.001). However, no significant association was found between clinical instability and readmissions (aOR 1.16, 95% CI 0.93–1.44, p > 0.05). Conclusions: Clinical instability within 24 h before discharge predicts worse outcomes in CAP patients, driven by increased mortality risk rather than readmissions. Full article

Background: The aim of this study was to analyze levels of frailty, across physical, psychological, social, and overall dimensions, according to marital status, age, number of diagnosed illnesses, and number of medications taken in community-dwelling older women. Methods: The study included a total of 94 older women, aged between 60 and 89 years. All participants completed a sociodemographic and clinical questionnaire, as well as an instrument to measure physical, psychological, and social frailty, along with the total frailty score in the study participants. Group comparison test, such as the Kruskal–Wallis test, was applied. Results: Statistically significant differences (p < 0.05) in frailty were associated with marital status, clinical burden, and polypharmacy, with widowed/divorced individuals, those with more diagnosed diseases, and those taking more medications exhibiting higher physical and total frailty levels, while psychological frailty was notably higher in the oldest age group. Conclusions: The results indicate that physical and social interventions should be more relevant for older women with greater social isolation, as they may increase frailty indices and consequently the risk of hospitalization, institutionalization, and mortality. Full article

Objectives: To identify clinical, functional, laboratory, and patient-reported parameters associated with medium-term risk of hospitalization or death among older adults attending a multidisciplinary outpatient clinic, and to assess the predictive performance of these measures for individual risk stratification. Methods: In this cohort study, 350 adults aged ≥65 years were assessed at baseline and followed for an average of 8 months. The primary outcome was a composite of hospitalization or all-cause mortality. Parameters assessed included frailty and comorbidity measures, functional parameters, such as gait speed and grip strength, laboratory biomarkers, and patient-reported measures, such as quality of life (QoL, assessed on a Likert scale) and the presence of depressive symptoms. Predictive performance was evaluated using univariable logistic regression and multivariable modeling. Discriminative ability was assessed via area under the ROC curve (AUC), and selected models were internally validated using repeated k-fold cross-validation. Results: Overall, 40 participants (11.4%) experienced hospitalization or death. Traditional clinical risk indicators, including frailty and comorbidity scores, were significantly associated with the outcome. Patient-reported QoL (AUC = 0.74) and Geriatric Depression Scale (GDS) scores (AUC = 0.67) demonstrated useful overall discriminatory ability, with high specificities at optimal cut-offs, suggesting they could act as “red flags” for adverse outcomes. However, the limited sensitivities of individual predictors underscore the need for more comprehensive screening instruments with improved ability to identify at-risk individuals earlier. A multivariable model that incorporated several predictors did not outperform QoL alone (AUC = 0.79), with cross-validation confirming comparable discriminative performance. Conclusions: Patient-reported measures—particularly quality of life and depressive symptoms—are valuable predictors of hospitalization or death and may enhance traditional frailty and comorbidity assessments in outpatient geriatric care. Future work should focus on developing or integrating screening tools with greater sensitivity to optimize early risk detection and guide preventive interventions. Full article

Hip fractures in elderly patients pose significant clinical challenges, confronting us with high morbidity and mortality rates. A comprehensive geriatric assessment plays an important role in determining prognosis as well as the indication for surgery. Aim: In this study, we aim to (1) assess frailty-based functional status in seniors with hip fractures, (2) evaluate geriatric assessment’s predictive value for postoperative recovery, and (3) analyze 1-year postoperative survival. Material and Methods: This prospective study included 60 senior patients admitted for hip fracture in the Orthopedics Department. Patients were examined using geriatric assessment instruments Mini Mental State Examination (MMSE), Geriatric Depression Scale (GDS), Mini Nutritional Assessment (MNA), and Frailty Groningen Indicator (GFI). We recorded the sex, marital status, number of comorbidities, and number of recommended drugs. Results: In total, 65% of patients were frail pre-surgery; the proportion increased post-surgery to 86.7%; (p = 0.005). Age greater than 80 years and unmarried marital status were associated with higher frailty risk (p = 0.04; p = 0.03). Preoperatively, important predictors of frailty were mild–moderate cognitive impairment (p = 0.017), mild–moderate depression (p = 0.01), and malnutrition (p = 0.04). Postoperatively, only mild–moderate cognitive impairment (p = 0.04) and mild–moderate depression (p = 0.01) proved to be important predictors of frailty. According to the ROC curve, good predictors of postoperative frailty were shown to be preoperative frailty and the degree of polypharmacy and comorbidity. Of all parameters predictive of postoperative frailty, only the number of medications reached statistical significance (p < 0.038). The study identified a 1-year all-cause mortality rate of 42.6% in elderly patients who underwent hip fracture surgery, with a significant association between mortality and preoperative MMSE, GDS, and MNA scores. Conclusions: Complex geriatric assessment of senior patients with hip fracture can stratify postoperative risk and predict 1-year mortality and postoperative functional recovery. Key predictors include cognitive status, depression, malnutrition, and comorbidities. Multidisciplinary care and standardized evaluation are essential for improving outcomes. Full article

Background/Objectives: Data on the prognostic value of frailty in patients undergoing percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) is limited. This study aimed to evaluate the association between frailty and in-hospital complications in patients undergoing CTO-PCI. Methods: We conducted a retrospective cohort study using administrative data from the National Inpatient Sample (2016–2019). Frailty was assessed using the Hospital Frailty Risk Score (HFRS) and categorized into three groups: low risk (<5), intermediate risk (5–15), and high risk (>15). Logistic regression models were applied to estimate odds ratios (ORs) with 95% confidence intervals (CIs) for in-hospital complications. Results: A total of 46,695 patients undergoing CTO-PCI were included. In the adjusted models, patients at high risk of frailty had higher odds of in-hospital mortality (OR 9.51, 95% CI 3.49–26.00), blood transfusion (OR 4.78, 95% CI 1.72–13.20), pericardial complication (OR 16.0, 95% CI 4.85–52.90), and renal replacement therapy (OR 3.83, 95% CI 1.22–12.00) compared to the low-risk group. Intermediate-risk patients also experienced higher odds of most outcomes. Conclusions: Frailty was a significant predictor of in-hospital complications in patients undergoing PCI for CTO. Incorporating frailty assessment into routine clinical practice could enhance risk stratification and enable tailored care strategies for this high-risk population. Full article

Background and Objectives: In the present study, distinct subgroups of older adults with chronic low back pain (LBP) were identified using cluster analysis based on the five dimensions of the EQ-5D-5L. Using detailed profiles of how chronic LBP affects various facets of health-related quality of life (HRQoL), differences in frailty levels across these subgroups were investigated in this study. Materials and Methods: This retrospective study included patients ≥ 60 years of age who visited the pain clinic at a tertiary hospital between March 2022 and February 2023. HRQoL was assessed using the EQ-5D-5L, and frailty was evaluated via the Frailty Phenotype Questionnaire. Hierarchical cluster analysis using the WARD method with squared Euclidean distance was conducted on the EQ-5D-5L dimensions to identify subgroups. Differences in frailty, demographics, and clinical data across clusters were analyzed. Results: Among 837 older adults with chronic LBP, four distinct clusters were identified based on a cluster analysis of the EQ-5D-5L dimensions. Cluster 1 exhibited high levels of pain/discomfort and anxiety/depression, and cluster 2 had severe mobility limitations and pain/discomfort but low anxiety/depression. Cluster 3 showed balanced scores across all dimensions, and cluster 4 had severe pain/discomfort but good mobility. Significant differences were observed among the clusters in pain intensity, EQ Visual Analogue Scale (EQ-VAS) and EQ-5D-5L index scores, and frailty status. Cluster 1 had the highest pain scores and lowest EQ-VAS, and frailty was most prevalent in cluster 2 (28.5%) and least in cluster 4 (13.3%). Conclusions: The results of the present study emphasize the complexity of chronic LBP in older adults by identifying distinct clusters. Cluster analysis identified four unique profiles, with significant frailty differences across the clusters. These findings emphasize the importance of personalized management strategies tailored to specific patient profiles to enhance treatment effectiveness and improve frailty status. Full article

Background/Objectives: Rheumatoid arthritis (RA) is a chronic inflammatory disease frequently accompanied by comorbid conditions that contribute to disability and worsen long-term outcomes. Among these, malnutrition and osteosarcopenia remain under-recognised. This cross-sectional study aimed to assess the prevalence of malnutrition and osteosarcopenia among elderly women with RA and explore the clinical impact of these conditions. Methods: Sixty-five women over 65 years with RA were evaluated using Global Leadership Initiative on Malnutrition (GLIM) criteria for malnutrition and EWGSOP2-based assessments for sarcopenia; bone status was measured by dual-energy X-ray absorptiometry (DXA), trabecular bone score (TBS), and three-dimensional DXA (3D-DXA). Results: Malnutrition was identified in 49.2% and osteosarcopenia in 52.3% of participants. A significant bidirectional association was observed: malnourished patients had higher rates of osteosarcopenia (65.6% vs. 34.4%; p < 0.05), and osteosarcopenic patients were more frequently malnourished (61.8% vs. 39.1%; p < 0.05). Both conditions were associated with older age, lower body mass index (BMI), impaired muscle parameters, and reduced bone mineral density. Malnourished and osteosarcopenic patients reported worse fatigue and lower physical quality of life, despite similar inflammatory activity. Significant correlations were found between muscle mass indices and bone quality metrics assessed by 3D-DXA. These findings highlight a substantial burden of malnutrition and osteosarcopenia in elderly women with RA, even with well-controlled disease despite similar inflammatory activity (mean Disease Activity Score 28: 2.8 ± 1.0; 43.1% in remission. Conclusions: There is a substantial burden of malnutrition and osteosarcopenia in elderly women with RA that support the integration of systematic nutritional and musculoskeletal screening into routine care. Future studies should evaluate age- and disease-specific mechanisms and assess the benefit of multidisciplinary strategies to prevent frailty and improve long-term outcomes. Full article

Background and Objectives: This retrospective cohort study aimed to evaluate the predictive validity of four frailty indices—Modified Frailty Index-5 (mFI-5), Edmonton Frail Scale (EFS), Clinical Frailty Scale (CFS), and Trauma-Specific Frailty Index (TSFI)—in forecasting postoperative complications and functional outcomes in elderly patients with proximal humerus fractures (PHFs) treated either surgically or conservatively. Materials and Methods: A total of 244 patients aged ≥60 years with PHFs treated at Erzurum Hospital between January 2018 and January 2023 were included. Patients were categorized into surgical (n = 110) and conservative (n = 134) groups. Surgical procedures included open reduction and internal fixation (n = 88), hemiarthroplasty (n = 10), and reverse shoulder arthroplasty (n = 12). Frailty was retrospectively assessed using mFI-5, EFS, CFS, and TSFI based on 24-month follow-up data. Outcomes included complications, reoperations, rehospitalizations, and functional results measured by the American Shoulder and Elbow Surgeons (ASES) score. Results: The overall complication rate was 13.1%, with nonunion being the most common. Reoperation and rehospitalization rates were 10.6% and 20%, respectively. The mean ASES score was 71.3 ± 15.2, with 60% of patients achieving good or excellent outcomes. Frailty scores, particularly mFI-5 and EFS, were significantly higher in the conservatively treated group compared to the surgical group (p < 0.01). Across both treatment modalities, patients with higher frailty scores had significantly increased complication rates; however, this effect was more pronounced in the surgical group. Multivariate logistic regression revealed that mFI-5 significantly predicted complications, reoperations, and rehospitalizations (p < 0.001). EFS was associated with reoperation risk (p = 0.018), while CFS and TSFI were not significantly correlated with any of the outcomes. Conclusions: Among the evaluated indices, mFI-5 showed the strongest predictive accuracy for adverse outcomes in elderly PHF patients. Notably, the negative impact of frailty was more evident among surgically treated patients. Routine frailty assessment may facilitate better risk stratification and individualized treatment planning in this population. Full article

Background and Objectives: Malnutrition and sarcopenia are highly prevalent and clinically impactful conditions in patients undergoing maintenance hemodialysis (MHD), yet their early detection remains challenging. This study aimed to assess the diagnostic performance of nutritional ultrasonography (NUS) in the morphofunctional evaluation of malnutrition and sarcopenia, and to compare its utility with established tools such as bioimpedance analysis (BIA), biochemical markers, handgrip strength (HGS), and functional performance tests. Materials and Methods: A cross-sectional study was conducted in 74 stable MHD patients. Clinical, analytical, anthropometric, BIA, NUS, and functional parameters were collected, along with validated nutritional and frailty scales. NUS was used to assess the quadriceps rectus femoris (QRF) and preperitoneal visceral fat (PPVF), measuring Y-axis, Y-axis/height, cross-sectional muscle area rectus femoris (CS-MARF), muscle area rectus femoris index adjusted to height (MARFI_h), and supramuscular fat (SMF). Sarcopenia was defined according to the 2019 European Working Group on Sarcopenia in Older People (EWGSOP) criteria. Results: The prevalence of risk, confirmed, and severe sarcopenia was 24.3%, 40.5%, and 20.3%, respectively. Severe-to-moderate protein-energy wasting (PEW) affected 44.6% of patients. Compared to non-sarcopenic individuals, sarcopenic patients had lower values of HGS, prealbumin, lean body mass, and phase angle. NUS-derived cut-off values for sarcopenia were Y-axis ≤ 8 mm, Y-axis/height ≤ 2.9 mm/m², CS-MARF ≤ 2.4 cm², and MARFIh ≤ 0.9 cm²/m². The most discriminative NUS parameters were Y-axis and SMF (AUC 0.67), followed by Y-axis/height (AUC 0.65) and MARFI_h (AUC 0.63). NUS measurements correlated significantly with ASMI, phase angle, HGS, and SPPB scores. Conclusions: Nutritional ultrasonography is a feasible, reproducible, and clinically valuable tool for assessing muscle mass and quality in MHD patients. Its incorporation into routine practice may enhance early detection of malnutrition and sarcopenia, thereby facilitating timely, individualized nutritional interventions. Full article

Background and Objectives: The prognostic immune and nutritional index (PINI) was reported to be clinically relevant for colorectal cancer prognosis. Herein, the utility of PINI as a prognostic factor for the survival of patients with gastric cancer (GC) was investigated. Materials and Methods: We retrospectively analyzed 492 patients with stage I–III GC, predominantly of Asian descent, who underwent curative-intent gastrectomy. Multivariate Cox regression analysis identified independent predictors of overall survival (OS). Model performance was evaluated using the concordance index (C-index), integrated area under the curve (iAUC), time-dependent AUC, integrated discrimination improvement (IDI), and continuous net reclassification improvement (cNRI). Results: The PINI score—calculated as [albumin (g/dL) × 0.9] − [absolute monocyte count (/μL) × 0.0007]—was found to be independently associated with OS (p < 0.001). Additional independent prognostic factors included age, body mass index, 5-factor modified frailty index, tumor–node–metastasis (TMN) stage, gastrectomy type, and anemia. The full model that included all significant covariates outperformed the baseline TNM model, showing significantly higher C-index and iAUC values (both p < 0.001). Compared with an intermediate model, which excluded PINI, the full model demonstrated a superior C-index and iAUC (both p = 0.004). Although the observed improvements in AUC, IDI, and cNRI at 3 years were not statistically significant, the full model achieved significant gains in all three metrics at 5 years, underscoring the added long-term prognostic value of the PINI. Conclusions: PINI is a significant independent predictor of survival in patients with GC who underwent curative-intent surgery. Its inclusion in prognostic models enhances the long-term predictive accuracy for survival, supporting its potential role in guiding personalized postoperative management. External validation in larger multi-ethnic prospective cohorts is essential to confirm its generalizability and to establish its role in routine clinical practice. Full article

Background/Objectives: Hospital readmissions are a key quality metric impacting both patient outcomes and healthcare costs. Traditional logistic regression models, including the LACE index (Length of stay, Admission type, Comorbidity index, and recent Emergency department visits), are commonly used for readmission risk stratification, though their accuracy may be limited by non-linear interactions with other clinical variables. This study compared the predictive performance of non-linear machine learning (ML) models with stepwise logistic regression (LR) and the LACE index for predicting 30-day general medicine readmissions. Methods: We retrospectively analysed adult general medical admissions at a tertiary hospital in Australia from 1 July 2022 to 30 June 2023. Thirty-two variables were extracted from electronic medical records, including demographics, comorbidities, prior healthcare use, socioeconomic status (SES), laboratory data, and frailty (measured by the Hospital Frailty Risk Score). Predictive models included stepwise LR and four ML algorithms: Least Absolute Shrinkage and Selection Operator (LASSO), random forest, Extreme Gradient Boosting (XGBoost), and artificial neural networks (ANNs). Performance was assessed using the area under the curve (AUC), with comparisons made using DeLong’s test. Results: Of 5371 admissions, 1024 (19.1%) resulted in 30-day readmissions. Readmitted patients were older and frailer and had more comorbidities and lower SES. Logistic regression (LR) identified the key predictors of outcomes, including heart failure, alcoholism, nursing home residency, and prior admissions, achieving an AUC of 0.62. LR’s performance was comparable to that of the LACE index (AUC = 0.61) and machine learning models: LASSO (AUC = 0.63), random forest (AUC = 0.60), and artificial neural networks (ANNs) (AUC = 0.60) (p > 0.05). However, LR significantly outperformed XGBoost (AUC = 0.55) (p < 0.05). Conclusions: About one in five general medicine patients are readmitted within 30 days. Traditional LR performed as well as or better than ML models for readmission risk prediction. Full article

Frailty in the elderly population is associated with increased vulnerability to stressors, including surgical interventions. This study compared machine learning (ML) models with a clinical bedside tool, the Gastrointestinal Surgery Frailty Index (GiS-FI), for predicting mortality and morbidity in elderly patients undergoing gastrointestinal cancer surgery. In a multicenter analysis of 937 patients aged ≥65 years, the performance of various predictive models including Random Forest (RF), Least Absolute Shrinkage and Selection Operator (LASSO), Stepwise Regression, K-Nearest Neighbors, Neural Network, and Support Vector Machine algorithms were evaluated. The overall 30-day mortality and morbidity rates were 6.1% and 35.7%, respectively. For mortality prediction, the RF model demonstrated superior performance with an AUC of 0.822 (95% CI 0.714–0.931), outperforming the GiS-FI score (AUC = 0.772, 95% CI 0.675–0.868). For morbidity prediction, all models showed more modest discrimination, with stepwise regression and LASSO regression achieving the highest performance (AUCs of 0.652 and 0.647, respectively). Our findings suggest that ML approaches, particularly RF algorithm, offer enhanced predictive accuracy compared to traditional clinical scores for mortality risk assessment in elderly cancer patients undergoing gastrointestinal surgery. These advanced analytical tools could provide valuable decision support for surgical risk stratification in this vulnerable population. Full article

Background/Objectives: Frailty screening is crucial for identifying vulnerable older adults who may benefit from interventions. However, the implementation of screening in primary care and integration into personalised care pathways remains limited. This study examined the feasibility of a two-step frailty screening approach combining PRISMA-7 and the Clinical Frailty Scale (CFS). The study assessed PRISMA-7 cut-offs’ impact on frailty classification, CFS agreement, and activation of integrated domiciliary care. Methods: This cross-sectional study was conducted in Northern Italy. General practitioners screened patients aged ≥75 years using the PRISMA-7 tool; if the result was positive (score ≥ 3), the Clinical Frailty Scale (CFS) was subsequently applied. Descriptive statistics, group comparisons, correlation analyses, and logistic regression models were employed to evaluate the predictors of frailty and activation of integrated domiciliary care. Comparisons were made for PRISMA-7 cut-off values ≥3 and ≥4. Results: Among the 18,658 patients evaluated using PRISMA-7, 46.0% were identified as frail with a threshold of ≥3 and 28.8% with ≥4. In a subset of 7970 patients assessed using both PRISMA-7 and the Clinical Frailty Scale (CFS), CFS confirmed frailty (score ≥ 5) in 48.3% of the patients at a PRISMA-7 cut-off of three and 68.2% at a cut-off of four. The female sex predicted frailty by CFS, whereas the male sex was correlated with frailty at the PRISMA-7 cut-off of three. Rural location was correlated with frailty by PRISMA-7 but showed an inverse relationship with frailty by CFS. Integrated domiciliary care began in 14.2% of the patients meeting the clinical criteria, with a higher frequency in rural areas. Concordance between PRISMA-7 and CFS increased with patient age, and at a cut-off of four. Conclusions: Two-step frailty screening using PRISMA-7 and CFS is viable for primary care. Using a PRISMA-7 cut-off score of ≥4 may reduce frailty overestimation, enhance congruence with clinical assessments, and reduce sex-related bias. These findings support incorporating structured screening into personalised care planning and refining frailty tools to improve equity and effectiveness. Full article