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Article | IMSEAR | ID: sea-219150

ABSTRACT

Introduction: Brain metastasis (BM) is significantly seen in lung adenocarcinoma and adversely affects survival. We aimed to evaluatethe factors affecting the prognosis in patients with BM diagnosed with lung adenocarcinoma. Materials and Methods: Patients with BM between 2012 and 2022 were reviewed retrospectively. Demographic characteristics of the patients, primary tumor characteristics,presence of mutation, BM number, localization, size, development time, and treatment characteristics were evaluated. Inflammatoryindices at the time of BM were examined. The overall survival time was calculated. Results: About 92.9% of 113 patients were male, the median age was 62 years (54.5–68.5), and follow‑up was 8 months (3–18). BM was detected at the time of diagnosis in 62 (54.9%)of the patients, whereas BM developed later in 51 (45.1%) patients. Systemic treatment was applied to 72.5% of the patients. Survivalwas lower in patients with BM at diagnosis (4 vs. 14 months, P < 0.001). Primary tumor maximum standardized uptake value level was higher on fluorodeoxyglucose‑positron emission tomography‑computed tomography at diagnosis in patients with late BM (P = 0.004). The development time of BM was 9 months (4–16), and the median survival was 8 months (6.2–9.8). There was no difference betweentumor localization or inflammatory indices and the development of BM and prognosis. The presence of BM at diagnosis and lack of systemic treatment were found to be factors that independently reduced survival (P < 0.001, P = 0.007). Conclusion: The presence of BM at diagnosis significantly reduces survival. It has been observed that systemic treatments applied in addition to local treatments have a positive effect on the prognosis.

2.
Journal of Southern Medical University ; (12): 93-99, 2019.
Article in Chinese | WPRIM | ID: wpr-772115

ABSTRACT

OBJECTIVE@#To analyze the association of the clinical inflammatory indices with the severity of urinary sepsis.@*METHODS@#We reviewed the clinical data of 70 patients with urinary sepsis treated in our hospital between January, 2013 and April, 2018. All the patients were diagnosed in line with the Guidelines for Diagnosis and Treatment of Urological Diseases in China (2014 edition), including 22 patients with sepsis, 12 with hypotension and severe sepsis, 17 with septic shock, and 19 with critical septic shock. White blood cell count (WBC), neutrophil percentage (N%), platelets (PLT), fibrinogen (FIB), Ddimer, interleukin-6 (IL-6), procalcitonin (PCT) and C-reactive protein (CRP) were examined in all the cases and compared among the 4 groups. The correlations of these inflammatory markers with the severity of sepsis were analyzed using logistic regression analysis.@*RESULTS@#The 4 groups of patients showed significant differences in N%, PLT, D-dimer, and PCT ( < 0.05) but not in CRP (>0.05). Kruskal-Wallis Pairwise comparisons showed that the N% and PCT in patients with sepsis differed significantly from those in the other 3 groups; platelets in patients with sepsis differed significantly from those in patients with septic shock and critical septic shock; D-dimer differed significantly between patients with sepsis and those with septic shock. Among the 4 groups, the median levels of PLT decreased and PCT and N% increased with the worsening of sepsis. Logistic regression analysis indicated that PCT (=0.186, =0.000), N% (=0.047, =0.035) and PLT (=-0.012, =0.003) were significantly correlated with the severity of sepsis in these patients.@*CONCLUSIONS@#PCT, PLT and N% are all significantly correlated with the severity of sepsis, and their combined detection can be informative for assessing the severity of sepsis to facilitate clinical decisions on treatment.


Subject(s)
Humans , Biomarkers , Blood , C-Reactive Protein , China , Fibrin Fibrinogen Degradation Products , Fibrinogen , Interleukin-6 , Blood , Leukocyte Count , Platelet Count , Procalcitonin , Blood , Sepsis , Blood , Diagnosis , Severity of Illness Index , Shock, Septic , Blood , Diagnosis , Statistics, Nonparametric , Urinary Tract Infections , Diagnosis
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