British journal of hospital medicine最新文献

Aims/Background Lung cancer (LC) remains one of the most common malignant tumours worldwide, and assessment of its progression is important for ensuring better prognostic outcomes for patients. This study was designed to explore the prognostic role of certain indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) in patients with LC, to help clinics to better determine the prognosis of patients with LC, and to allow them to intervene in a timely manner. Methods A retrospective analysis of 116 initially diagnosed patients with LC in China from 2018 to 2020 was conducted. The counts of neutrophils (NEU), lymphocytes (LYM), and monocytes (MON), as well as albumin levels, were obtained from laboratory databases. The PNI was calculated using a specific formula. The progression-free survival (PFS) curves were plotted using the Kaplan-Meier method, and the Log-rank test was used to compare survival among different groups. The potential prognostic role of these indicators was assessed with univariate and multivariate regression analysis. Results Multivariate Cox regression demonstrated that the PNI (hazard ratio (HR): 0.513, 95% confidence interval (CI): 0.288-0.917, p = 0.024), NLR (HR: 2.038, 95% CI: 1.128-3.682, p = 0.018), and tumour type (small cell lung cancer vs. non-small cell lung cancer) (HR: 2.145, 95% CI: 1.308-3.520, p = 0.003) were significantly associated with PFS. The median PFS for patients with low and high PNI was 10 and 11.5 months, respectively. Conclusion The NLR, PLR, and PNI are all significantly associated with the prognostic survival of LC patients.

Polypharmacy is common among older people and is associated with multiple adverse outcomes. Assessing whether it is appropriate or inappropriate for an individual is more informative than relying on a simple pill count. Modern medicine is based on single disease guidelines that promote prescribing but tend not to have deprescribing criteria. Barriers to deprescribing promote the accumulation of medicines over time. Clinical trial data have limitations due to the selected populations recruited. Some evidence suggests older people with multi-morbidity may benefit less and people with frailty are at increased risk of harm. Prescribing can be inappropriate if it is not evidence-based, harm is likely to exceed the benefit, includes hazardous medications or combinations of medicines, the patient experiences therapeutic burden, there is reduced adherence or prescribing cascades. Medicines optimisation aims to improve prescribing quality for an individual patient and may include deprescribing. It is a complex process that includes shared decision-making, careful follow-up, and communication of any resulting prescription changes.

Aims/Background In the treatment of patients with cervical cancer, lymph node metastasis (LNM) is an important indicator for stratified treatment and prognosis of cervical cancer. This study aimed to develop and validate a multimodal model based on contrast-enhanced multiphase computed tomography (CT) images and clinical variables to accurately predict LNM in patients with cervical cancer. Methods This study included 233 multiphase contrast-enhanced CT images of patients with pathologically confirmed cervical malignancies treated at the Affiliated Dongyang Hospital of Wenzhou Medical University. A three-dimensional MedicalNet pre-trained model was used to extract features. Minimum redundancy-maximum correlation, and least absolute shrinkage and selection operator regression were used to screen the features that were ultimately combined with clinical candidate predictors to build the prediction model. The area under the curve (AUC) was used to assess the predictive efficacy of the model. Results The results indicate that the deep transfer learning model exhibited high diagnostic performance within the internal validation set, with an AUC of 0.82, accuracy of 0.88, sensitivity of 0.83, and specificity of 0.89. Conclusion We constructed a comprehensive, multiparameter model based on the concept of deep transfer learning, by pre-training the model with contrast-enhanced multiphase CT images and an array of clinical variables, for predicting LNM in patients with cervical cancer, which could aid the clinical stratification of these patients via a noninvasive manner.

Aims/Background Femoral neck fractures in elderly patients carry a high risk of developing deep vein thrombosis (DVT) due to prolonged immobilization and surgical intervention. This study examines the effectiveness of combining intermittent pneumatic compression (IPC) with low-molecular-weight heparin (LMWH) for preventing DVT in elderly patients following femoral neck fracture surgery. Methods A total of 150 elderly patients with femoral neck fractures, admitted between January 2022 and January 2024, were retrospectively selected, and their clinical data were analyzed. Based on the treatment methods, the patients were divided into a control group (n = 71) and a study group (n = 79). The control group received LMWH treatment, while the study group received a combination of LMWH and IPC. The incidence of DVT, surgical outcomes, hip joint function, coagulation function indicators, hemodynamic indicators, and serum pro-inflammatory factors were compared between the two groups. Results The results showed that the incidence of DVT in the study group was lower than in the control group (p = 0.017). There were no significant differences between the two groups in terms of intraoperative blood loss, postoperative drainage volume, or Harris scores (p > 0.05). After the intervention, the study group demonstrated higher levels of average velocity (Va), peak blood flow velocity (Vp), and blood flow (BF) compared to the control group (p < 0.05). Additionally, the activated partial thromboplastin time (APTT) and prothrombin time (PT) were longer, while the D-dimer (D-D) level was lower in the study group (p < 0.05). The study group also exhibited lower levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and interleukin-8 (IL-8) (p < 0.05). Conclusion The results indicate that combining IPC with LMWH effectively reduces the incidence of postoperative DVT in elderly patients with femoral neck fractures, improves venous blood flow in the lower limbs, reduces vascular inflammation, and ensures safety.

Lung cancer is a leading cause of death globally with high mortality and morbidity. Patients are often diagnosed at an advanced stage. Metformin has become a primary medication used in the clinical management of type 2 diabetes mellitus (T2DM) due to its relative safety, low cost, and effectiveness, mainly exerting its hypoglycemic effect by inhibiting hepatic gluconeogenesis and insulin resistance. Research data indicate that metformin extends the distant metastasis-free survival (DMFS) and progression-free survival (PFS) of diabetic patients with lung cancer, improving overall survival rates. Metformin lowers the risk of tumour development through various mechanisms, including the adenosine 5'-monophosphate-activated protein kinase/liver kinase B1/mechanistic target of rapamycin (AMPK/LKB1/mTOR) pathway, insulin-like growth factor-1 receptor pathway, apoptosis, and autophagy. However, research findings are not entirely consistent. This article reviews the research progress of metformin in terms of lung cancer treatment within the past few years, aiming to provide a more comprehensive understanding of how metformin exerts its anti-cancer impact and how it can be clinically applied, as well as provide new insights for lung cancer treatment.

Aims/Background Both membranous nephropathy (MN) and immunoglobulin A nephropathy (IgAN) are immune complex-mediated glomerular diseases, but the concurrent occurrence of these two conditions in the same patient is not common, a phenomenon that is currently not supported by clinical data in terms of treatment and prognosis. This study explores the clinical and pathological characteristics, as well as the treatment outcomes, of patients affected by MN and IgAN simultaneously. Methods The clinical data, pathological features, and diagnostic and therapeutic information of seven cases of MN complicated by IgAN, treated between December 2015 and December 2022, were retrospectively analyzed. Results Among the seven cases, there were two male and five female patients, with an average age of 57.3 ± 9.2 years. All patients presented with clinical manifestations of proteinuria and edema upon admission, with an average 24-hour urine protein of 3716.6 ± 1519.4 mg/24 h. Phospholipase A2 receptor (PLA2R) expression was detected in all seven cases, and nephrotic syndrome was clinically diagnosed in five cases. Additionally, all seven cases showed microscopic hematuria, with intermittent gross hematuria in two cases. All seven patients included in this study underwent renal biopsy. After disease staging, the patients had MN stages I-III and IgAN stages II-III. Pathological findings revealed abnormal glomerular basement membrane (GBM) and diffuse immunoglobulin G (IgG) deposition in the subepithelial space, predominantly of the IgG4 subtype. Simultaneously, there was diffuse mesangial zone deposition of immunoglobulin A (IgA) to varying degrees, co-localization of complement component C3 and IgA, and mesangial cell proliferation. Treatment strategies included angiotensin-converting enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARB) in combination with steroids or immunosuppressive therapies such as tacrolimus, cyclophosphamide, and rituximab. After 2-6 months of treatment, all patients achieved complete remission with a favourable prognosis. Conclusion MN accompanied by IgAN tends to occur more frequently in middle-aged and elderly individuals, with a relatively low incidence. The latent feature of the comorbidities manifests as a form of IgAN superimposed on the background of MN. Utilizing ACEI or ARB in combination with steroids or various immunosuppressive therapies represents a potentially effective treatment strategy.

Aims/Background To implement a co-management mode among community-level diabetes patients and analyze its impact on diagnosis and treatment compliance and diabetic retinopathy of the patients. Methods A total of 80 patients who underwent diabetic retinopathy examination in Lanxi People's Hospital from January 2021 to March 2022 were retrospectively selected as the study objects. The clinical data of the patients were analyzed, including 40 patients who adopted the conventional diabetes management mode from January 2021 to August 2021 as the control group. From September 2021 to March 2022, 40 patients in the county medical service community diabetes management team model were adopted as the management group. The two groups of patients were compared in terms of diabetic retinopathy indictors, biochemical examination indicators, self-management ability, and nursing management satisfaction. Results Number of patients complying with treatment protocols in the management group was higher than that in the control group (p < 0.05). The blood spot area, macular thickness, hemangioma volume, and visual-field grayscale value in the management group at the last follow-up were all lower than those in the control group (p < 0.05). The levels of diastolic blood pressure (DBP), systolic blood pressure (SBP), fasting blood glucose (FBG), hemoglobin A1C (HbA1c), total cholesterol (TC), and triglyceride (TG) in the management group at the last follow-up were all lower than those in the control group (p < 0.05). The scores of disease cognition ability, self-management ability, and nursing management satisfaction in the management group were all higher than those in the control group (p < 0.05). Conclusion By changing management concept and implementing the whole-process management and treatment mode for diabetic patients within the scope of the county medical service community, the diagnosis and treatment compliance of the patients can be improved, and the effective control of blood glucose, blood pressure, and blood lipid levels can be achieved, thereby improving the self-management ability and nursing management satisfaction of the patients and providing a new nursing mode for chronic disease management.

Aims/Background Previous studies have indicated a strong correlation between disturbances in blood pressure (BP) circadian rhythm and major cardiovascular adverse events. Similarly, blood pressure variability (BPV) has been closely linked to cerebral small vessel disease and leukoaraiosis. This study aims to investigate the relationship between BP rhythm and BPV with the short-term prognosis of patients with Type A aortic dissection, offering insights for targeted perioperative nursing interventions and improving patient outcomes. Methods This retrospective study included patients undergoing surgical treatment for Type A aortic dissection at Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences) from June 2022 to March 2024. The study followed patients from the completion of surgery to 30 days postoperatively, with all-cause mortality within 30 days as the endpoint representing poor short-term prognosis. Clinical data were compared along with: types of BP rhythm; BPV parameters including the mean 24-hour systolic BP (24hSBP), 24-hour diastolic BP (24hDBP), and pulse pressure; and the coefficient of variability (CV) for 24hSBP, 24hDBP, and pulse pressure. Multivariate logistic regression analysis was utilized to identify risk factors for poor short-term outcomes in these patients, and receiver operating characteristic (ROC) curves were plotted to assess the predictive value of BP rhythm types and BPV indicators. Results The study ultimately included 115 participants, with 31 deaths occurring within 30 days post-surgery, resulting in a postoperative mortality rate of 26.96%. The multivariate logistic regression analysis revealed that white blood cell count, neutrophil count, non-dipping BP rhythm, pulse pressure, and the CV for 24hSBP, 24hDBP, and pulse pressure, were significant risk factors for poor short-term prognosis (p < 0.05). The ROC curve analysis demonstrated that non-dipping BP rhythm, pulse pressure, 24hSBP-CV, 24hDBP-CV, and pulse pressure-CV had areas under the curve (AUC) of 0.685, 0.749, 0.751, 0.773, and 0.763, respectively. The combination of these indicators yielded the highest AUC at 0.918. Conclusion A combination of BP rhythm and BPV indicators provides significant predictive value for poor short-term outcomes in patients with Type A aortic dissection. Clinicians and nursing staff can use these features to formulate targeted preventive measures.

An Intensive Care Medicine (ICM) rotation provides fantastic learning opportunities for doctors of all specialties. Understanding your role in this highly specialised field will assist you in gaining maximal benefit from your time in ICM while ensuring the best outcomes for your patients. It can be quite daunting reviewing deteriorating patients and admitting patients to the Intensive Care Unit (ICU). This article provides tips and advice for doctors new to the specialty, and will be a useful guide for medical, surgical, and emergency medicine trainees before they begin working in the ICU for the first time. We provide a structured, systematic framework which can be used comprehensively to assess ICU patients.

Aims/Background The connection between lymph node (LN) metastases in papillary thyroid carcinoma (PTC) and chronic lymphocytic thyroiditis (CLT) has been examined in a number of prior investigations. However, there is ongoing debate over the effect of CLT on LN metastasis in PTC. In order to explain the relationship between CLT and LN metastasis more convincingly, we aimed to retrospectively review clinical data to investigate the correlation between CLT and LN metastasis in PTC using propensity score matching (PSM). Methods Data on PTC patients at Wenzhou Central Hospital were collected retrospectively between 1 January 2018, and 31 March 2022. The patients were split into two groups based on whether they had CLT or not. The clinicopathological characteristics of the two groups were compared using a PSM analysis. The relationship between CLT and LN metastases was analyzed using logistic regression analysis. Results Among the 773 PTC patients collected and examined, 213 showed simultaneous CLT. Prior to PSM, patients with CLT displayed a significantly lower incidence of LN metastasis (34.3% VS 44.8%, p = 0.008), a lower metastatic LN ratio (0 (0, 0.17) VS 0 (0, 0.38), p = 0.011), and a greater number of LNs dissected (7 (5, 11) VS 5 (3, 7), p < 0.001). These differences persisted after the PSM of 208 pairs. After PSM, patients with CLT displayed a significantly lower incidence of LN metastasis (35.0% VS 44.7%, p = 0.045), a lower metastatic LN ratio (0 (0, 0.17) VS 0 (0, 0.33), p = 0.038), and a higher number of dissected LNs (7 (5, 11) VS 5 (3, 7), p ≤ 0.001). Additionally, the multivariate logistic regression analysis indicated that CLT had a protective role against LN metastasis in both the matched group (odds ratio (OR), 0.62; 95% confidence interval (CI): 0.39-0.96; p = 0.032) and the unmatched group (OR, 0.63; 95% CI: 0.44-0.91; p = 0.014). Conclusion Our data indicate that CLT may protect against LN metastases in patients with PTC. Patients having PTC with coexisting CLT have fewer LN metastases, a greater number of LNs dissected, and a lower metastatic LN ratio.