ObjectiveTo explore the factors that predict the prognosis of papillary thyroid carcinoma.MethodThe literature searching terms include "prognosis of papillary thyroid carcinoma" "ultrasound of papillary thyroid carcinoma" "papillary thyroid carcinoma and Hashimoto's thyroiditis", and "genes related to papillary thyroid carcinoma". The factors used to predict the prognosis of papillary thyroid carcinoma such as the patient's clinical characteristics, ultrasound characteristics, serological indicators, genes mutations, etc. were reviewed.ResultsUltrasound features such as lesion diameter greater than 1 cm, extra-glandular invasion, and related gene mutations may increase the risk of postoperative recurrence. Patients with Hashimoto's thyroiditis may have better prognosis.ConclusionThere are many factors that can predict the risk of recurrence in patients to a certain extent, but most of them are just in the study, so it is necessary to enact more standardized follow-up management to improve the survival rate.
Objective To analyze the major complications and predictive factors of amputees during postoperative hospitalization, and provide a reference for amputees nursing and early rehabilitation. Methods Using the bibliometric method, we searched Embase, Ovid, Medline, PubMed, CINAHL, China National Knowledge Infrastructure, Wanfang and CQVIP databases for the data of postoperative hospitalization of amputees published from January 1st, 2008 to April 5th, 2022. Statistical description and analysis of article types, sample size, reasons for amputation, amputation sites, complications, influencing factors, predictive factors, and treatment recommendations were performed.Results Finally, 19 articles were included, including 16 in English and 3 in Chinese, all of which were quantitative studies. The literature quality scores were greater than or equal to 7 points, which were all good or excellent. The type of articles were mainly retrospective research (n=15), and the research contents were mainly lower limb amputation. The main reasons for amputation were peripheral vascular disease and diabetes mellitus (n=11). Wound infection, anemia, phantom limb pain, and psychological problems were common complications after amputation. Predictors of complications, secondary operations, and death included age, gender, smoking, drinking, obesity, preoperative comorbidities, level of amputation, anesthesia methods and other factors. Conclusions The focus of acute care after amputation should be wound healing, pain control, proximal physical movement and emotional support, especially for amputees who have prominent postoperative psychological problems. These patients need early psychological disease screening and mental support. After amputation, multi-disciplinary and multi-team coordinated care are needed to achieve both physical and psychological healing of the patient and promote early recovery.
Objective To investigate the predictive value of the prognostic nutritional index (PNI) for 28-day all-cause mortality in patients with chronic obstructive pulmonary disease (COPD) in intensive care unit (ICU). Methods The relationship between PNI and short-term mortality in COPD patients was analysed using COX proportional hazards and restricted cubic spline (RCS) models. Receiver operating characteristic (ROC) curves were plotted and area under the ROC curve (AUC) was calculated to assess the predictive performance of PNI. The optimal cut-off value for PNI was determined using the Youden index, and the data were divided into a low PNI group and a high PNI group. Kaplan-Meier curves were then constructed and the log-rank test was used to assess differences in survival between the two groups. Results A total of 980 COPD patients were included in the study. Multivariable COX regression analysis showed that PNI was an independent factor influencing short-term mortality in the severe COPD patients (HR=0.972, 95%CI 0.948 - 0.995, P=0.019). RCS curve results showed a non-linear relationship between PNI and short-term mortality in the severe COPD patients (P for non-linear=0.032), with the risk of death gradually decreasing as PNI increased. The ROC curve indicated that PNI had some predictive power, comparable to that of SOFA score [(AUCPNI=0.693) vs. (AUCSOFA=0.672)]. Kaplan-Meier curve analysis showed a significant difference in survival time between the low (≤38.3) PNI group and the high (>38.3) PNI group (P<0.05). Conclusions PNI has a certain predictive role for short-term all-cause mortality in patients with severe COPD. Patients with low PNI at ICU admission have a higher risk of short-term mortality.
ObjectiveTo analyze the association between nutritional and immune-related laboratory indices and pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer patients and focused on constructing a combination of laboratory indices to serve as a clinical predictor of pCR after NAC in breast cancer. MethodsRetrospectively collected the pre-NAC laboratory indices [albumin (ALB), total cholesterol, triglyceride, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol, apolipoprotein A- Ⅰ, apolipoprotein B, white blood cell, neutrophil, lymphocyte, monocyte (MON), and platelet ] and clinicopathologic data of 310 patients with invasive breast cancer who had received NAC in the Department of Breast Surgery, Affiliated Hospital of Southwest Medical University, from September 1, 2020 to October 31, 2022. Logistic regression analysis was conducted to determine the correlation between laboratory indices and post-NAC pCR. The combinations of laboratory indices were constructed by simple mathematical operation. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of different combinations of laboratory indices in predicting pCR and to determine the optimal combination of liboratory indices. Multivariate logistic regression analysis was used to analysis the relevance between clinicopathologic features and post-NAC pCR in breast cancer patients and to determine the independent predictor of post-NAC pCR. ResultsAmong the 310 patients, 49.4% (153/310) of them achieved pCR after NAC. Logistic regression analysis revealed that ALB (Z=5.203, P<0.001) and HDL-C (Z=2.129, P=0.033) were positively correlated with post-NAC pCR, while MON (Z=–4.883, P<0.001) was negatively correlated with post-NAC pCR. The AUC analysis of 6 different combinations of laboratory indices showed that the ALB/MON combination (the optimal combination of liboratory indices) had the highest predictive performance (median AUC=0.708) and was determined to be the neoadjuvant therapy predictive index (NTPI). Multivariate logistic regression analysis showed that estrogen receptor (Z=–3.273, P=0.001), human epidermal growth factor 2 (Z=7.041, P<0.001), Ki-67 (Z=2.457, P=0.014), and NTPI (Z=4.661, P<0.001) were the independent predictors for post-NAC pCR. ConclusionNTPI could serve as a predictive index for post-NAC pCR in patients with breast cancer.
ObjectiveTo study the clinical features, predictive factors and short-term prognosis of active pulmonary tuberculosis in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). MethodsThis study enrolled patients hospitalized for AECOPD in ten tertiary hospitals of China from September 2017 to July 2021. AECOPD patients with active pulmonary tuberculosis were included as case group, AECOPD patients without pulmonary tuberculosis were randomly selected as control group from the same hospitals and same hospitalization period as the patients in case group, at a ratio of 4:1. The basic information, comorbidities, clinical manifestations and auxiliary examinations, and adverse in-hospital outcomes between the two groups were compared.ResultsA total of 14007 inpatients with AECOPD were included in this study, and 245 patients were confirmed to have active pulmonary tuberculosis, with an incidence rate of 1.75%. In terms of basic information, the proportions of male and patients with history of acute exacerbation in the past year in the case group were higher than those in the control group (P<0.05), and the age and body mass index (BMI) were lower than those of the control group (P<0.05); in terms of comorbidities, the proportions of patients with hypertension and diabetes in the case group were lower than those in the control group (P<0.05). In terms of clinical manifestations, the prevalence of fever and hemoptysis in case group was higher than that of control group (P<0.05); as for laboratory examinations, the levels of hemoglobin, platelet count, serum albumin, inflammatory markers [erythrocyte sedimentation rate (ESR), C reactive protein] and the proportion of positive TB-IGRA were higher than that of control group (P<0.05). The prevalence of pulmonary bullae, atelectasis and bronchiectasis in the case group was higher than that in the control group. After multivariate logistic regression analysis, hemoptysis (OR= 3.68, 95%CI 1.15-11.79, P=0.028), increased ESR (OR=3.88, 95%CI 2.33-6.45, P<0.001), atelectasis (OR = 3.23, 95%CI 1.32-7.91, P=0.01) were independent predictors of active pulmonary tuberculosis in patients with AECOPD. In terms of in-hospital outcomes, there was a trend of higher hospital mortality than the control group (2.3% vs. 1%), but the difference was not statistically significant. However, the case group had longer hospital stay [9 d (6~14) vs. 7 d (5~11), P<0.001] and higher hospital costs [15568 ¥ (10618~21933) vs. (13672 ¥ (9650~21473), P=0.037]. ConclusionIt is not uncommon for AECOPD inpatients to be complicated with active pulmonary tuberculosis, which increases the length of hospital stay and hospitalization costs. When AECOPD patients present with hemoptysis, elevated ESR, and atelectasis, clinicians should be highly alert to the possibility of active pulmonary tuberculosis.