Abnormal White Blood Cell Count Research Articles

The value of multiparametric MRI-based habitat imaging for differentiating uterine sarcomas from atypical leiomyomas: a multicentre study.

To explore the feasibility of multiparametric MRI-based habitat imaging for distinguishing uterine sarcoma (US) from atypical leiomyoma (ALM). This retrospective study included the clinical and preoperative MRI data of 69 patients with US and 225 patients with ALM from three hospitals. At both the individual and cohort levels, the K-means and Gaussian mixture model (GMM) algorithms were utilized to perform habitat imaging on MR images, respectively. Specifically, T2-weighted images (T2WI) and contrast-enhanced T1-weighted images (CE-T1WI) were clustered to generate structural habitats, while apparent diffusion coefficient (ADC) maps and CE-T1WI were clustered to create functional habitats. Parameters of each habitat subregion were extracted to construct distinct habitat models. The integrated models were constructed by combining habitat and clinical independent predictors. Model performance was assessed using the area under the curve (AUC). Abnormal vaginal bleeding, lactate dehydrogenase (LDH), and white blood cell (WBC) counts can serve as clinical independent predictors of US. The GMM-based functional habitat model at the cohort level had the highest mean AUC (0.766) in both the training and validation cohorts, followed by the GMM-based structural habitat model at the cohort level (AUC = 0.760). Within the integrated models, the K-means functional habitat model based on the cohort level achieved the highest mean AUC (0.905) in both the training and validation cohorts. Habitat imaging based on multiparametric MRI has the potential to distinguish US from ALM. The combination of clinical independent predictors with the habitat models can effectively improve the performance.

Clinicopathological Differences between Right and Left Colorectal Cancer by Sex.

Background: Until now, studies on colorectal cancer (CRC) have focused on clinicopathological characteristics based on location without considering sex differences. However, as men and women have fundamentally different physiological characteristics, research results in the clinical field are limited. We aimed to elucidate the differences in the clinicopathological characteristics between right-sided CRC (RCC) and left-sided CRC (LCC) according to sex. Methods: We classified 1492 South Korean patients with no history of colon surgery between July 2005 and June 2015 based on tumor location and sex. For these patients, differences in the clinical characteristics according to sex were compared using univariate and multivariate analyses. Results: Of the 1269 patients, 951 (74.9%) had LCC, and 318 (25.1%) had RCC, making LCC approximately three times more common than RCC. When sex was not taken into account, patients with RCC had significantly higher rates of anemia and undifferentiated cancers than the rates in those with LCC. Even considering sex, anemia and undifferentiated cancer were more prevalent in RCC than in LCC in both men and women. In contrast, age over 65 years and abnormal white blood cell count differed between RCC and LCC only in women. Conclusions: The clinicopathologic characteristics of CRC vary according to the location and sex. Therefore, sex must be considered as a fundamental characteristic of personalized treatment.

Clinical characteristics of 11 patients with Vibrio vulnificus infection and the establishment of a rapid diagnosis procedure for this disease

Clinical characteristics of 11 patients with Vibrio vulnificus infection and the establishment of a rapid diagnosis procedure for this disease

Biomedical Evaluation of Early Chronic Kidney Disease in the Air Force: Building a Predictive Model from the Taiwan Military Health Service.

Chronic kidney disease (CKD) is one of the most common diseases worldwide. The increasing prevalence and incidence of CKD have contributed to the critical problem of high medical costs. Due to stressful environments, aircrew members may have a high risk of renal dysfunction. A better strategy to prevent CKD progression in Air Force personnel would be to diagnosis CKD at an early stage. Since few studies have been conducted in Taiwan to examine the long-term trends in early CKD in Air Force aircrew members, this study is highly important. We investigated the prevalence of CKD and established a predictive model of disease variation among aircrew members. In this retrospective study, we included all subjects who had received physical examinations at a military hospital from 2004 to 2010 and who could be tracked for four years. The Abbreviated Modification of Diet in Renal Disease Formula (aMDRD) was used to estimate the glomerular filtration rate (GFR) and was combined with the National Kidney Foundation/ Kidney Disease Outcomes Quality Initiative (NKF-K/DOQI) to identify CKD patients. A total of 212 aircrew members were assessed. The results showed that the prevalence of CKD was 3.8%, 9.4%, 9.0%, and 9.4% in each of the four years. According to the logistic regression analysis, abnormal urobilinogen levels, ketones, and white blood cell (WBC) counts in urine and a positive urine occult blood test increased the risk of CKD. A positive urine occult blood test can be used to predict the future risk of CKD. Moreover, the generalized estimating equation (GEE) model showed that a greater risk of CKD with increased examination time, age and seniority had a negative effect. In conclusion, abnormal urobilinogen levels, ketones, and urine WBC counts in urine as well as a positive urine occult blood test might serve as independent predictors for CKD. In the future, we can focus not only on annual physical examinations but also on simple and accurate examinations, such as urine occult blood testing, to determine the risk of CKD and prevent its progression in our aircrew members.

Clinical evaluation of a fully electronic microfluidic white blood cell analyzer.

The White Blood Cell (WBC) count is one of the key parameters signaling the health of the immune system. Abnormal WBC counts often signal a systemic insult to the body such as an underlying infection or an adverse side effect to medication. Typically, the blood collected is sent to a central lab for testing, and results come back within hours, which is often inconvenient and may delay time-sensitive diagnosis or treatment. Here, we present the CytoTracker, a fully electronic, microfluidic based instant WBC analyzer with the potential to be used at point-of-care. The CytoTracker is a lightweight, portable, affordable platform capable of quantifying WBCs within minutes using only 50 μl of blood (approximately one drop of blood). In this study, we clinically evaluated the accuracy and performance of CytoTracker in measuring WBC and granulocyte counts. A total of 210 adult patients were recruited in the study. We validated the CytoTracker against a standard benchtop analyzer (Horiba Point of Care Hematology Analyzer, ABX Micros 60). Linear dynamic ranges of 2.5 k/μl- 35 k/μl and 0.6 k/μl- 26 k/μl were achieved for total WBC count and granulocyte count with correlation coefficients of 0.97 and 0.98. In addition, we verified CytoTracker's capability of identifying abnormal blood counts with above 90% sensitivity and specificity. The promising results of this clinical validation study demonstrate the potential for the use of the CytoTracker as a reliable and accurate point-of-care WBC analyzer.

Enhancing clinical awareness: retrospective analysis of neurosyphilis cases and diagnostic predictors for early recognition and treatment.

This is a retrospective analysis of clinical data from individuals diagnosed with neurosyphilis, aiming to enhance healthcare professionals' understanding of the disease and expedite early diagnosis and intervention. A retrospective analysis was conducted on the clinical records of 50 patients who received a diagnosis of symptomatic neurosyphilis and were admitted to the Neurology Department during the period spanning January 2012 to December 2022. Clinical manifestations encompassed diverse phenotypes, with syphilitic meningitis accounting for 16% of cases, characterized by symptoms such as headache, blepharoptosis, paralysis, blurred vision, and tinnitus. Meningovascular syphilis presented in 36% of cases, exhibiting episodic loss of consciousness, limb numbness, and limb convulsion. Paralytic dementia manifested in 36% of cases, featuring symptoms such as memory loss, sluggish response, and slow movement. Tabes dorsalis was observed in 12% of cases, presenting with weakness, numbness, and staggering. Routine cerebrospinal fluid (CSF) analysis indicated abnormal white blood cell counts in 60% of patients, while biochemical testing revealed abnormal protein content in 52% of patients. Notably, statistically significant differences were observed between patients with interstitial and parenchymatous neurosyphilis (Z = 2.023, P = 0.044) in terms of CSF protein content. Electroencephalogram (EEG) results were abnormal in six patients, and imaging studies unveiled diverse findings in 46 patients. The study highlights the importance of neurological and/or ocular symptoms in diagnosing symptomatic neurosyphilis. Individuals with hypomnesia should be closely monitored for potential neurosyphilis. Integrating clinical manifestations, laboratory tests, EEG, and imaging can reduce misdiagnosis. This comprehensive approach shows promise in improving early identification and management of neurosyphilis.

Postoperative systemic inflammatory response syndrome predicts increased mortality in patients after elective craniotomy.

Patients undergoing craniotomy are at high risk of perioperative morbidity and mortality due to excessive inflammatory responses. The purpose of the present study is to evaluate the prognostic utility of postoperative systemic inflammatory response syndrome (SIRS) in patients undergoing craniotomy. We performed a retrospective cohort study of patients who underwent craniotomy between January 2011 and March 2021. SIRS was diagnosed based on two or more criteria (hypo-/hyperthermia, tachypnea, leukopenia/leukocytosis, tachycardia). We used univariate and multivariate analysis for the development of SIRS with postoperative 30-day mortality. Of 12,887 patients who underwent craniotomy, more than half of the patients (n = 6,725; 52.2%) developed SIRS within the first 7 days after surgery, and 157 (1.22%) patients died within 30 days after surgery. In multivariable analyses, SIRS (OR, 1.57; 95% CI, 1.12-2.21) was associated with 30-day mortality. Early SIRS was not predictive of 30-day mortality, whereas delayed SIRS was predictive of 30-day mortality. Abnormal white blood cell (WBC) counts contributed the most to the SIRS score, followed by abnormal body temperature, respiratory rate, and heart rate. Postoperative SIRS commonly occurs after craniotomy and is an independent predictor of postoperative 30-day mortality. This association was seen only in delayed SIRS but not early SIRS. Moreover, increased WBC counts contributed the most to the SIRS score.

A novel method to predict white blood cells after kidney transplantation based on machine learning.

Abnormal white blood cell count after kidney transplantation is an important adverse clinical outcome. The abnormal white blood cell count in patients after surgery may be caused by the use of immunosuppressive agents and other factors. A lower white blood cell count than normal will greatly increase the probability of adverse outcomes such as infection and reduce the success rate of surgery. To establish a machine learning prediction model of leukocyte drop to abnormal level after kidney transplantation, and provide reference for clinical treatment. A total of 546 kidney transplant patients were selected as the study subjects. The time correlation feature of the ratio of the duration time of each variable to the total time in different intervals was innovatively introduced. Least absolute shrinkage and selection operator algorithm was used for correlation analysis of 85 candidate variables, and the top 20 variables were retained in the end. Eight machine learning algorithms, including Logistic-L1, Logistic-L2, support vector machine, decision tree, random forest, multilayer perceptron, extreme gradient boosting and light gradient boosting machine, were used for the five-fold cross-validation on all data sets, and the algorithm with the best performance was selected as the final prediction algorithm based on the average area under the curve. As the final prediction model, the accuracy, sensitivity, specificity and area under the curve values of the multilayer perceptron model in test set were 71.34%, 61.18%, 82.28% and 77.30%, respectively. The most important factors affecting leukopenia after surgery were the proportion of time of lymphocyte less than normal, blood group AB, gender, and platelet CV. The multilayer perceptron model explored in this study shows significant potential in predicting abnormal white blood cell counts after kidney transplantation. This model can help stratify risk following transplantation, subject to external and/or prospective validation.

Clinical and diagnostic features of central nervous system tuberculosis in Indian children - a descriptive study.

Children with tuberculous meningitis (TBM) present with diagnostic challenges as they often have atypical clinical features. To describe the baseline characteristic features of children diagnosed with central nervous system (CNS) TB (TBM and tuberculoma). Retrospective descriptive study. Children less than 12 years presenting with neurological signs and symptoms were assessed for a therapeutic TBM trial eligibility. The results of their clinical, laboratory, neuroimaging, cerebrospinal fluid evaluations were analysed for TBM diagnosis. Of 600 children evaluated, 61(10%) had CNS tuberculosis; TBM 47, tuberculoma 14. 20(33%) had definite TBM. Mean age of children with TBM was 5 ± 3.4 years. Of 47, 13(28%), 21(45%) and 13(28%) had grade I, II, and III disease respectively. Abnormalities suggestive of TBM in MRI and computed tomography brain were observed in 76% (26/34) and 77% (24/31) respectively. Abnormal cerebrospinal fluid white blood cell count, protein and glucose were observed in 56% (24/43), 49% (22/45), 47% (21/45) respectively. Among 41 patients with TBM followed up until discharge, five died. Younger children with TBM have severe forms. Confirmatory results may not be available in all. A holistic approach to care including addressing complications of hydrocephalus and strokes is needed.

Clinical factors predicting rotavirus diarrhea in children: A cross-sectional study from two hospitals.

Rotavirus is still a significant contributing morbidity and mortality in pediatric patients. To look at clinical signs and symptoms and laboratory findings that can predict rotavirus gastroenteritis compared to non-rotavirus gastroenteritis. This was a cross-sectional study with medical records obtained from December 2015 to December 2019. Inclusion criteria for this study include all hospitalised pediatric patients (0-18 years old) diagnosed with suspected rotavirus diarrhea. The receiver operating curve and Hosmer-Lemeshow test would be used to assess the final prediction findings' calibration (goodness of fit) and discrimination performance. This study included 267 participants with 187 (70%) rotavirus-diarrhea cases. The patients were primarily male in both rotavirus (65.2%) and non-rotavirus (62.5%) groups. The median age is 1.33 years old (0.08-17.67 years old). Multivariate analysis shows that wet season (ORadj = 2.5; 95%CI: 1.3-4.8, Padj = 0.006), length of stay (LOS) ≥ 3 days (ORadj = 5.1; 95%CI: 1.4-4.8, Padj = 0.015), presence of abdominal pain (ORadj = 3.0; 95%CI: 1.3-6.8, Padj = 0.007), severe dehydration (ORadj = 2.9; 95%CI: 1.1-7.9, Padj = 0.034), abnormal white blood cell counts (ORadj = 2.8; 95%CI: 1.3-6.0, Padj = 0.006), abnormal random blood glucose (ORadj = 2.3; 95%CI: 1.2-4.4, Padj = 0.018) and presence of fecal leukocytes (ORadj = 4.1, 95%CI: 1.7-9.5, Padj = 0.001) are predictors of rotavirus diarrhea. The area under the curve for this model is 0.819 (95%CI: 0.746-0.878, P value < 0.001), which shows that this model has good discrimination. Wet season, LOS ≥ 3 d, presence of abdominal pain, severe dehydration, abnormal white blood cell counts, abnormal random blood glucose, and presence of fecal leukocytes predict rotavirus diarrhea.

A mass event of paraquat poisoning via inhalation.

In January 2023, a rare event of collective inhalation paraquat poisoning occurred in Shandong, China. To analyze the clinical characteristics of an event of respiratory tract paraquat poisoning through inhalation. Clinical data from eight patients with paraquat inhalation poisoning were retrospectively analyzed. The patients were mainly exposed to paraquat via the respiratory tract. The main clinical manifestations were ocular and respiratory irritation. Lung computed tomography (CT) showed that all eight patients had varying degrees of lung injury, mainly manifesting as exudative lesions. Laboratory tests revealed arterial blood gas hypoxemia, abnormal white blood cell count, and increased neutrophil ratio. Sufficient glucocorticoid impact therapy was effective, and all eight patients survived. Eight patients experienced chest tightness, shortness of breath, and varying degrees of lung injury due to inhalation of paraquat through the respiratory tract. The early use of glucocorticoids and other comprehensive treatment measures, active prevention and treatment of lung infections, and protection of organ function have beneficial effects in such cases.

Influence of white blood cells count on parasite density in Malaria in children aged 6 to 59 months in Benin

For many years, the treatment of malaria was based on clinical presumptive diagnosis, making its differential diagnosis with other causes of hyperthermia difficult. This drug pressure has led to the emergence of Plasmodium strains resistant to the most commonly used antimalarial drugs. This is why in 2004, the health authorities decided to revise the policy of malaria management by adopting a new strategy based on the rational use of artemisininbased combination therapies after the biological confirmation of suspected malaria cases. The biological diagnosis is an essential part of malaria management. The gold standard technique for diagnosis is the thick drop combined with the calculation of parasite density (PD), which is determined on the basis of the number of parasites counted in a microscopic field against a proposed standard number of leukocytes. The number of leukocytes used to calculate the parasite density should ideally be the actual number of leukocytes in the patient per cubic millimetre of blood. However, in the absence of the availability of a blood count at the time of the thick drop, an average number of 8 000 leukocytes/mm3 was used by the World Health Organisation (WHO) to estimate the parasite density. Nonetheless, in Benin the average number of leukocytes adopted by the National Malaria Control Programme (PNLP) is 6 000/mm3. The aim of our study was to determine the impact of the leukocyte count on the calculation of the parasite density in cases of uncomplicated malaria. The study was a cross-sectional study with an analytical aim and took place in 2 hospitals in Benin, the Klouékanmey zone hospital in the south of Benin and the Djougou health centre in the north. It involved a population of 476 children aged between 6 and 59 months who were seen in consultation and in whom the clinical diagnosis of simple Plasmodium falciparum malaria was suspected. Children aged between 6 and 59 months, weighing at least 5 kg, with an axillary temperature ≥ 37.5°C at the time of consultation or a history of fever in the last 24 hours or other symptoms pointing to the diagnosis of malaria were included. Infestation was mono-specific for Plasmodium falciparum. Informed consent was required from the child's parents or guardian. The criteria for non-inclusion in our study were the presence of at least one sign of malaria severity, signs of severe malnutrition or a febrile state related to underlying infectious diseases other than malaria. Thick blood count and haemogram were systematically performed in all included children. Parasite density was calculated according to 3 methods, first using a weighted leukocyte count of 6 000/mm3 recommended by the Benin National Malaria Control Programme (PNLP), then a leukocyte count of 8 000/mm3 recommended by the World Health Organisation and finally the patient's actual leukocyte count obtained from the blood count. It should be noted that these different samples were respectively taken on the day of inclusion in compliance with the conditions of the pre-analytical phase in force in our medical biology laboratory. At the end of our study, 313 children, i.e. 65.76% of our study population had a positive white blood cell count with a positivity rate of 62.14% in Djougou, i.e. 174 children, and 70.9% in Klouékanmey, i.e. 139 children. The average leukocyte count in these children was 11,580/mm3. Among them, 205 children had an abnormal white blood cell count, i.e. 17 cases of leukopenia (5.43%) and 188 cases of hyperleukocytosis (60.06%). Using successively the average number of 6 000 leukocytes/mm3 proposed by the Benin PNLP and that of 8 000 leukocytes/mm3 proposed by the WHO, the average parasite densities were respectively 47,943 and 63,936 trophozoïtes/µl against 92,290 trophozoïtes/µl when the real number of leukocytes of the patients was used for the calculation of the PD. By using an average of 6 000 leukocytes/mm3 for PD calculation, 60% of the calculated PDs were underestimated and 6% were overestimated. Using an average of 8 000 leukocytes/mm3 resulted in 49% of PD being underestimated and 15% being overestimated. The difference between the three calculation methods was considered statistically significant (p value <0.05). The use of 6 000 or 8 000 coefficients for the estimation of parasitaemia could lead to a significant underestimation of the parasite load.

Incidence and Outcomes of Non–Ventilator-Associated Hospital-Acquired Pneumonia in 284 US Hospitals Using Electronic Surveillance Criteria

Non-ventilator-associated hospital-acquired pneumonia (NV-HAP) is a common and deadly hospital-acquired infection. However, inconsistent surveillance methods and unclear estimates of attributable mortality challenge prevention. To estimate the incidence, variability, outcomes, and population attributable mortality of NV-HAP. This cohort study retrospectively applied clinical surveillance criteria for NV-HAP to electronic health record data from 284 US hospitals. Adult patients admitted to the Veterans Health Administration hospital from 2015 to 2020 and HCA Healthcare hospitals from 2018 to 2020 were included. The medical records of 250 patients who met the surveillance criteria were reviewed for accuracy. NV-HAP, defined as sustained deterioration in oxygenation for 2 or more days in a patient who was not ventilated concurrent with abnormal temperature or white blood cell count, performance of chest imaging, and 3 or more days of new antibiotics. NV-HAP incidence, length-of-stay, and crude inpatient mortality. Attributable inpatient mortality by 60 days follow-up was estimated using inverse probability weighting, accounting for both baseline and time-varying confounding. Among 6 022 185 hospitalizations (median [IQR] age, 66 [54-75] years; 1 829 475 [26.1%] female), there were 32 797 NV-HAP events (0.55 per 100 admissions [95% CI, 0.54-0.55] per 100 admissions and 0.96 per 1000 patient-days [95% CI, 0.95-0.97] per 1000 patient-days). Patients with NV-HAP had multiple comorbidities (median [IQR], 6 [4-7]), including congestive heart failure (9680 [29.5%]), neurologic conditions (8255 [25.2%]), chronic lung disease (6439 [19.6%]), and cancer (5,467 [16.7%]); 24 568 cases (74.9%) occurred outside intensive care units. Crude inpatient mortality was 22.4% (7361 of 32 797) for NV-HAP vs 1.9% (115 530 of 6 022 185) for all hospitalizations; 12 449 (8.0%) were discharged to hospice. Median [IQR] length-of-stay was 16 (11-26) days vs 4 (3-6) days. On medical record review, pneumonia was confirmed by reviewers or bedside clinicians in 202 of 250 patients (81%). It was estimated that NV-HAP accounted for 7.3% (95% CI, 7.1%-7.5%) of all hospital deaths (total hospital population inpatient death risk of 1.87% with NV-HAP events included vs 1.73% with NV-HAP events excluded; risk ratio, 0.927; 95% CI, 0.925-0.929). In this cohort study, NV-HAP, which was defined using electronic surveillance criteria, was present in approximately 1 in 200 hospitalizations, of whom 1 in 5 died in the hospital. NV-HAP may account for up to 7% of all hospital deaths. These findings underscore the need to systematically monitor NV-HAP, define best practices for prevention, and track their impact.

Association Of Abnormal White Blood Cell Count and Need or Transfusion in Patients With Hematologic Malignancy Undergoing General Surgery Abdominal Operations

Balan, Naveen MD; deVirgilio, Christian Miguel MD, FACS; Ozao-Choy, Junko J MD, FACS; Yeh, James J MD; Moazzez, Ashkan MD, MPH, FACS Author Information

Prevalence of Invasive Bacterial Infection in Hypothermic Young Infants: A Multisite Study

To determine the prevalence of bacteremia and meningitis (invasive bacterial infection [IBI]) in hypothermic young infants, and also to determine the prevalence of serious bacterial infections (SBI) and neonatal herpes simplex virus and to identify characteristics associated with IBI. We conducted a retrospective cohort study of infants ≤90days of age who presented to 1 of 9 hospitals with historical or documented hypothermia (temperature ≤36.0°C) from September 1, 2017, to May 5, 2021. Infants were identified by billing codes or electronic medical record search of hypothermic temperatures. All charts were manually reviewed. Infants with hypothermia during birth hospitalization, and febrile infants were excluded. IBI was defined as positive blood culture and/or cerebrospinal fluid culture treated as a pathogenic organism, whereas SBI also included urinary tract infection. We used multivariable mixed-effects logistic regression to identify associations between exposure variables and IBI. Overall, 1098 young infants met the inclusion criteria. IBI prevalence was 2.1% (95% CI, 1.3-2.9) (bacteremia 1.8%; bacterial meningitis 0.5%). SBI prevalence was 4.4% (95% CI, 3.2-5.6), and neonatal herpes simplex virus prevalence was 1.3% (95% CI, 0.6-1.9). Significant associations were found between IBI and repeated temperature instability (OR, 4.9; 95% CI, 1.3-18.1), white blood cell count abnormalities (OR, 4.8; 95% CI, 1.8-13.1), and thrombocytopenia (OR, 5.0; 95% CI, 1.4-17.0). IBI prevalence in hypothermic young infants is 2.1%. Further understanding of characteristics associated with IBI can guide the development decision tools for management of hypothermic young infants.

Abnormal preoperative leukocyte counts and postoperative complications following total shoulder arthroplasty

Total shoulder arthroplasty (TSA) has become the mainstay of treatment for degenerative glenohumeral arthritis, proximal humerus fracture, and rotator cuff arthropathy. The expanding indications for reverse TSA have increased the overall demand for TSA. This necessitates higher quality preoperative testing and risk stratification. White blood cell counts can be obtained from routine preoperative complete blood count testing. The association between abnormal preoperative white blood cell counts and postoperative complications has not been extensively studied. The purpose of this study was to investigate the association between abnormal preoperative leukocyte counts and 30-day postoperative complications following TSA. The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients who underwent TSA between 2015-2020. Patient demographics, comorbidities, surgical characteristics, and 30-day postoperative complication data were collected. Multivariate logistic regression was used to identify postoperative complications associated with preoperative leukopenia and leukocytosis. In this study, 23,341 patients were included: 20,791 (89.1%) were in the normal cohort, 1307 (5.6%) were in the leukopenia cohort, and 1243 (5.3%) were in the leukocytosis cohort. Preoperative leukopenia was significantly associated with higher rates of bleeding transfusions (P=.011), deep vein thrombosis (P=.037), and non-home discharge (P=.041). After controlling for significant patient variables, preoperative leukopenia was independently associated with higher rates of bleeding transfusions (odds ratios [OR] 1.55, 95% confidence intervals [CI] 1.08-2.23; P=.017) and deep vein thrombosis (OR 2.26, 95% CI 1.07-4.78; P=.033). Preoperative leukocytosis was significantly associated with higher rates of pneumonia (P<.001), pulmonary embolism (P=.004), bleeding transfusions (P<.001), sepsis (P=.007), septic shock (P<.001), readmission (P<.001), and non-home discharge (P<.001). After controlling for significant patient variables, preoperative leukocytosis was independently associated with higher rates of pneumonia (OR 2.20, 95% CI 1.30-3.75; P=.004), pulmonary embolism (OR 2.43, 95% CI 1.17-5.04; P=.017), bleeding transfusions (OR 2.00, 95% CI 1.46-2.72; P<.001), sepsis (OR 2.95, 95% CI 1.20-7.25; P=.018), septic shock (OR 4.91, 95% CI 1.38-17.53; P=.014), readmission (OR 1.36, 95% CI 1.03-1.79; P=.030), and non-home discharge (OR 1.61, 95% CI 1.35-1.92; P<.001). Preoperative leukopenia is independently associated with higher rates of deep vein thrombosis within 30 days following TSA. Preoperative leukocytosis is independently associated with higher rates of pneumonia, pulmonary embolism, bleeding transfusion, sepsis, septic shock, readmission, and non-home discharge within 30 days following TSA. Understanding the predictive value of abnormal preoperative lab values will aid in perioperative risk stratification and minimize postoperative complications.

Nomogram for Predicting Viral Shedding Time of SARS-CoV-2 Delta Variant in Patients with COVID-19: A Retrospective Study

Abstract Background The coronavirus disease 2019 (COVID-19) cases continue to rise, and the demand for medical treatment and resources in healthcare systems surges. Assessing the viral shedding time (VST) of patients with COVID-19 can facilitate clinical decision making. Although some studies have been conducted on the factors affecting the VST of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), few prediction models are currently available. Methods This retrospective study included the consecutive patients with COVID-19 admitted to Xi’an Chest Hospital in Shaanxi, China, for treatment between December 19, 2021 and February 5, 2022. The clinical data of the patients were extracted from their electronic medical records. Combining significant factors affecting the VST, a nomogram was developed to predict the VST of the SARS-CoV-2 Delta variant in patients with COVID-19. Results We included 332 patients in this study. The average VST was 21 d. VST was significantly prolonged in patients with severe clinical symptoms, sore throat, old age, long time from onset to diagnosis, and an abnormal white blood cell count. Consequently, we developed a nomogram prediction model using these 5 variables. The concordance index (C-index) of this nomogram was 0.762, and after internal validation using bootstrapping (1000 resamples), the adjusted C-index was 0.762. The area under the nomogram’s receiver operator characteristic curve showed good discriminative ability (0.965). The calibration curve showed high consistency. The VST was prolonged in the group with lower model fitting scores according to the Kaplan-Meier curve (χ2=286, log-rank P &lt; 0.001). Conclusions We developed a nomogram for predicting VST based on 5 easily accessible factors. It can effectively estimate the appropriate isolation period, control viral transmission, and optimize clinical strategies.

Analysis of nutritional status and influencing factors in patients with thoracoabdominal aortic dissection receiving 3D printing-assisted stent graft fenestration

BackgroundTo investigate the nutritional status of patients with aortic dissection (AD) treated with using 3D printing-assisted stent graft fenestration and explore the important factors affecting the nutrition status of patients with different numbers of fenestrations (holes).MethodsNinety-nine hospitalized patients with AD in a grade A tertiary hospital in Nanjing from January 2020 to December 2020 were selected as the study subjects. According to the different number of fenestrations, the patients were divided into four groups: one fenestration (group A), two fenestrations (group B), three fenestrations (group C) and four fenestrations (group D); and the nutrition status of patients in the four groups was analyzed. Then, according to whether the calories provided via infusion reached the 80% goal calories (25 kcal/kg/day) on postoperative day 5, the patients were assigned to the Reached group and Not reached group, and their inflammatory parameters, including white blood cell (WBC) and C-reactive protein (CRP), on postoperative days 1 and 5 were analyzed.ResultsCompared with patients in group B (18.8%), C (19.4%) and D (6.7%), patients in group A (48.6%) had the highest rate of reaching the nutrition requirement (80% goal calories). Further, in the Reached group, WBC count and CRP concentration were significantly reduced on postoperative day 5 compared with postoperative day 1, and the proportion of patients with abnormal WBC count was significantly decreased. In contrast, although the CRP concentration on postoperative day 5 in the Not reached group was significantly lower than that on postoperative day 1, no significant changes in WBC count were observed.ConclusionIn 3D printing-assisted stent graft fenestration for AD, multiple fenestrations (holes) were associated with a low rate of reaching nutrition requirements, which might be related to imflammation. Therefore, effective nutritional support should be given to patients with multiple fenestrations after operation to improve their nutritional status and prognosis.

Postoperative Hypophosphatemia as a Prognostic Factor for Postoperative Pancreatic Fistula: A Systematic Review

Background and Objectives: Postoperative pancreatic fistula (POPF) is one of the most challenging complications after pancreatic resections, associated with prolonged hospital stay and high mortality. Early identification of pancreatic fistula is necessary for the treatment to be effective. Several prognostic factors have been identified, although it is unclear which one is the most crucial. Some studies show that post-pancreatectomy hypophosphatemia may be associated with the development of POPF. The aim of this systematic review was to determine whether postoperative hypophosphatemia can be used as a prognostic factor for postoperative pancreatic fistula. Materials and Methods: The systematic literature review was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations (PRISMA) and was registered in the International Prospective Register of Systematic Reviews (PROSPERO). The PubMed, ScienceDirect, and Web of Science databases were systematically searched up to the 31st of January 2022 for studies analyzing postoperative hypophosphatemia as a prognostic factor for POPF. Data including study characteristics, patient characteristics, operation type, definitions of postoperative hypophosphatemia and postoperative pancreatic fistula were extracted. Results: Initially, 149 articles were retrieved. After screening and final assessment, 3 retrospective studies with 2893 patients were included in this review. An association between postoperative hypophosphatemia and POPF was found in all included studies. Patients undergoing distal pancreatectomy were more likely to develop severe hypophosphatemia compared to patients undergoing proximal pancreatectomy. Serum phosphate levels on postoperative day 4 (POD 4) and postoperative day 5 (POD 5) remained significantly lower in patients who developed leak-related complications showing a slower recovery of hypophosphatemia from postoperative day 3 (POD 3) through postoperative day 7 (POD 7). Moreover, body mass index (BMI) higher than 30 kg/m2, soft pancreatic tissue, abnormal white blood cell count on postoperative day 3 (POD 3), and shorter surgery time were associated with leak-related complications (LRC) and lower phosphate levels. Conclusions: Early postoperative hypophosphatemia might be used as a prognostic biomarker for early identification of postoperative pancreatic fistula. However, more studies are needed to better identify significant cut-off levels of postoperative hypophosphatemia and development of hypophosphatemia in the postoperative period.

Positive predictive value of a sepsis-screening protocol for patients with tetraplegia.

To determine the positive predictive value (PPV) of a sepsis-screening protocol in patients with cervical spinal cord injury (SCI). Retrospective review of all patients with cervical SCI who screened positive for two or more systemic inflammatory response syndrome (SIRS) criteria while hospitalized in acute care or inpatient rehabilitation units over a 3.5-year period. Sepsis was defined by the occurrence of (1) any culture order followed by an intravenous (IV) antibiotic within 72 hours or (2) an IV antimicrobial followed by a culture order within 24 hours. A total of 134 patients screened positive for two or more SIRS criteria. Of these, 36 patients (26.9%) were diagnosed with sepsis. Factors associated with a true-positive SIRS screen on multivariable analysis included American Spinal Injury Association Impairment Scale (AIS) grade A-C (vs. D; p < .001). The PPV of the screen was 38% in patients with AIS A-C and 9% in patients with AIS D. Altered mental status (AMS) was strongly associated with a diagnosis of sepsis; 16 of 18 (88.9%) of those with AMS had sepsis (p < .001). Age, sex, and neurologic level of injury were not associated with true-positive screening. For patients with new SCI, the first true-positive screen occurred a median of 31 days post-injury. The most common SIRS criteria combinations in patients with true-positive screens were elevated heart rate and either abnormal white blood cell count (43% of true positives) or abnormal temperature (26% of true positives). Abnormally low body temperature (<36°C) contributed to false-positive screening for 10 of 38 (26%) AIS D patients who screened positive. Sepsis screening using SIRS criteria in hospitalized patients with tetraplegia has a PPV of 26.9%; it is significantly higher in patients with AIS A-C versus D injuries. AMS, when combined with a positive SIRS screening, is strongly associated with sepsis.