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Introduction: Post-stroke hemiplegia commonly occurs in stroke survivors, negatively impacting the quality of life. Despite the benefits of initial specific post-acute treatments at the hospitals, motor functions, and physical mobility need to be constantly stimulated to avoid regression and subsequent hospitalizations for further rehabilitation treatments., Method: This preliminary study proposes using gamified tasks in a virtual environment to stimulate and maintain upper limb mobility through a single RGB-D camera-based vision system (using Microsoft Azure Kinect DK). This solution is suitable for easy deployment and use in home environments. A cohort of 10 post-stroke subjects attended a 2-week gaming protocol consisting of Lateral Weightlifting (LWL) and Frontal Weightlifting (FWL) gamified tasks and gait as the instrumental evaluation task., Results and Discussion: Despite its short duration, there were statistically significant results ( p < 0.05) between the baseline (T0) and the end of the protocol (TF) for Berg Balance Scale and Time Up-and-Go (9.8 and -12.3%, respectively). LWL and FWL showed significant results for unilateral executions: rate in FWL had an overall improvement of 38.5% ( p < 0.001) and 34.9% ( p < 0.01) for the paretic and non-paretic arm, respectively; similarly, rate in LWL improved by 19.9% ( p < 0.05) for the paretic arm and 29.9% ( p < 0.01) for non-paretic arm. Instead, bilateral executions had significant results for rate and speed: considering FWL, there was an improvement in rate with p < 0.01 (31.7% for paretic arm and 37.4% for non-paretic arm), whereas speed improved by 31.2% ( p < 0.05) and 41.7% ( p < 0.001) for the paretic and non-paretic arm, respectively; likewise, LWL showed improvement in rate with p < 0.001 (29.0% for paretic arm and 27.8% for non-paretic arm) and in speed with 23.6% ( p < 0.05) and 23.5% ( p < 0.01) for the paretic and non-paretic arms, respectively. No significant results were recorded for gait task, although an overall good improvement was detected for arm swing asymmetry (-22.6%). Hence, this study suggests the potential benefits of continuous stimulation of upper limb function through gamified exercises and performance monitoring over medium-long periods in the home environment, thus facilitating the patient's general mobility in daily activities., Competing Interests: FB and AT were employed by Manima Non-Profit Organization Social Assistance and Healthcare. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Vismara, Ferraris, Amprimo, Pettiti, Buffone, Tarantino, Mauro and Priano.)

Introduction: The impact of COVID-19 pandemic represents a serious challenge for 'frail' patients' populations with inflammatory autoimmune systemic diseases such as systemic sclerosis (SSc). We investigated the prevalence and severity of COVID-19, as well the effects of COVID-19 vaccination campaign in a large series of SSc patients followed for the entire period (first 38 months) of pandemic., Patients and Method: This prospective survey study included 1755 unselected SSc patients (186 M, 1,569F; mean age 58.7 ± 13.4SD years, mean disease duration 8.8 ± 7.3SD years) recruited in part by telephone survey at 37 referral centers from February 2020 to April 2023. The following parameters were carefully evaluated: i. demographic, clinical, serological, and therapeutical features; ii. prevalence and severity of COVID-19; and iii. safety, immunogenicity, and efficacy of COVID-19 vaccines., Results: The prevalence of COVID-19 recorded during the whole pandemic was significantly higher compared to Italian general population (47.3 % vs 43.3 %, p < 0.000), as well the COVID-19-related mortality (1.91 % vs 0.72 %, p < 0.001). As regards the putative prognostic factors of worse outcome, COVID-19 positive patients with SSc-related interstitial lung involvement showed significantly higher percentage of COVID-19-related hospitalization compared to those without (5.85 % vs 1.73 %; p < 0.0001), as well as of mortality rate (2.01 % vs 0.4 %; p = 0.002). Over half of patients (56.3 %) received the first two plus one booster dose of vaccine; while a fourth dose was administered to 35.6 %, and only few of them (1.99 %) had five or more doses of vaccine. Of note, an impaired seroconversion was recorded in 25.6 % of individuals after the first 2 doses of vaccine, and in 8.4 % of patients also after the booster dose. Furthermore, the absence of T-cell immunoreactivity was observed in 3/7 patients tested by QuantiFERON® SARSCoV-2 Starter Set (Qiagen). The efficacy of vaccines, evaluated by comparing the COVID-19-related death rate recorded during pre- and post-vaccination pandemic periods, revealed a quite stable outcome in SSc patients ( death rate from 2.54 % to 1.76 %; p = ns), despite the significant drop of mortality observed in the Italian general population (from 2.95 % to 0.29 %; p < 0.0001)., Conclusions: An increased COVID-19 prevalence and mortality rate was recorded in SSc patients; moreover, the efficacy of vaccines in term of improved outcomes was less evident in SSc compared to Italian general population. This discrepancy might be explained by concomitant adverse prognostic factors: increased rate of non-responders to vaccine in SSc series, low percentage of individuals with four or more doses of vaccine, ongoing immunomodulating treatments, disease-related interstitial lung disease, and/or reduced preventive measures in the second half of pandemic. A careful monitoring of response to COVID-19 vaccines together with adequate preventive/therapeutical strategies are highly recommendable in the near course of pandemic in this frail patients' population., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Alessandro Antonelli reports financial support was provided by Italian 10.13039/100009647Ministry of Health, Ricerca Finalizzata (RF-2021-12374986) Destinatario istituzionale: Regione Toscana. Unità Operative:U.O.1: Azienda Ospedaliero-Universitaria Pisana; U.O.2: Azienda Ospedaliero-Universitaria Aldo Moro Bari; U.O.3: Azienda Ospedaliero-Universitaria Modena, CUP Master: D55E22000670001., (© 2023 Published by Elsevier B.V.)

The progressive aging of the population and the consequent growth of individuals with neurological diseases and related chronic disabilities, will lead to a general increase in the costs and resources needed to ensure treatment and care services. In this scenario, telemedicine and e-health solutions, including remote monitoring and rehabilitation, are attracting increasing interest as tools to ensure the sustainability of the healthcare system or, at least, to support the burden for health care facilities. Technological advances in recent decades have fostered the development of dedicated and innovative Information and Communication Technology (ICT) based solutions, with the aim of complementing traditional care and treatment services through telemedicine applications that support new patient and disease management strategies. This is the background for the REHOME project, whose technological solution, presented in this paper, integrates innovative methodologies and devices for remote monitoring and rehabilitation of cognitive, motor, and sleep disorders associated with neurological diseases. One of the primary goals of the project is to meet the needs of patients and clinicians, by ensuring continuity of treatment from healthcare facilities to the patient's home. To this end, it is important to ensure the usability of the solution by elderly and pathological individuals. Preliminary results of usability and user experience questionnaires on 70 subjects recruited in three experimental trials are presented here.

Motor impairments are among the most relevant, evident, and disabling symptoms of Parkinson’s disease that adversely affect quality of life, resulting in limited autonomy, independence, and safety. Recent studies have demonstrated the benefits of physiotherapy and rehabilitation programs specifically targeted to the needs of Parkinsonian patients in supporting drug treatments and improving motor control and coordination. However, due to the expected increase in patients in the coming years, traditional rehabilitation pathways in healthcare facilities could become unsustainable. Consequently, new strategies are needed, in which technologies play a key role in enabling more frequent, comprehensive, and out-of-hospital follow-up. The paper proposes a vision-based solution using the new Azure Kinect DK sensor to implement an integrated approach for remote assessment, monitoring, and rehabilitation of Parkinsonian patients, exploiting non-invasive 3D tracking of body movements to objectively and automatically characterize both standard evaluative motor tasks and virtual exergames. An experimental test involving 20 parkinsonian subjects and 15 healthy controls was organized. Preliminary results show the system’s ability to quantify specific and statistically significant (p < 0.05) features of motor performance, easily monitor changes as the disease progresses over time, and at the same time permit the use of exergames in virtual reality both for training and as a support for motor condition assessment (for example, detecting an average reduction in arm swing asymmetry of about 14% after arm training). The main innovation relies precisely on the integration of evaluative and rehabilitative aspects, which could be used as a closed loop to design new protocols for remote management of patients tailored to their actual conditions., Competing Interests: The authors declare no conflict of interest.

Arm swinging is a typical feature of human walking: Continuous and rhythmic movement of the upper limbs is important to ensure postural stability and walking efficiency. However, several factors can interfere with arm swings, making walking more risky and unstable: These include aging, neurological diseases, hemiplegia, and other comorbidities that affect motor control and coordination. Objective assessment of arm swings during walking could play a role in preventing adverse consequences, allowing appropriate treatments and rehabilitation protocols to be activated for recovery and improvement. This paper presents a system for gait analysis based on Microsoft Azure Kinect DK sensor and its body-tracking algorithm: It allows noninvasive full-body tracking, thus enabling simultaneous analysis of different aspects of walking, including arm swing characteristics. Sixteen subjects with Parkinson's disease and 13 healthy controls were recruited with the aim of evaluating differences in arm swing features and correlating them with traditional gait parameters. Preliminary results show significant differences between the two groups and a strong correlation between the parameters. The study thus highlights the ability of the proposed system to quantify arm swing features, thus offering a simple tool to provide a more comprehensive gait assessment., Competing Interests: The authors declare no conflict of interest.

The aim of this review was to present an overview of the state of the art in the use of the Microsoft Kinect camera to assess gait in post-stroke individuals through an analysis of the available literature. In recent years, several studies have explored the potentiality, accuracy, and effectiveness of this 3D optical sensor as an easy-to-use and non-invasive clinical measurement tool for the assessment of gait parameters in several pathologies. Focusing on stroke individuals, some of the available studies aimed to directly assess and characterize their gait patterns. In contrast, other studies focused on the validation of Kinect-based measurements with respect to a gold-standard reference (i.e., optoelectronic systems). However, the nonhomogeneous characteristics of the participants, of the measures, of the methodologies, and of the purposes of the studies make it difficult to adequately compare the results. This leads to uncertainties about the strengths and weaknesses of this technology in this pathological state. The final purpose of this narrative review was to describe and summarize the main features of the available works on gait in the post-stroke population, highlighting similarities and differences in the methodological approach and primary findings, thus facilitating comparisons of the studies as much as possible.

The concern about the offspring's health is one of the reasons for a reduced family size of women with rheumatic diseases (RD). Increased risk of autoimmune diseases (AD) and neurodevelopmental disorders (ND) has been reported in children born to patients with RD. Within a nationwide survey about reproductive issues of women with RD, we aimed at exploring the long-term outcome of their children. By surveying 398 patients who received their diagnosis of RD during childbearing age (before the age of 45), information about the offspring were obtained from 230 women who declared to have had children. A total of 148 (64.3%) patients were affected by connective tissue diseases (CTD) and 82 (35.7%) by chronic arthritis. Data on 299 children (156 males, 52.1%; mean age at the time of interview 17.1 ± 9.7 years) were collected. Twelve children (4.0%), who were born to patients with CTD in 75% of the cases, were affected by AD (8 cases of celiac disease). Eleven children had a certified diagnosis of ND (3.6%; 6 cases of learning disabilities); 9 of them were born to mothers with CTD (5 after maternal diagnosis). No association was found between ND and prenatal exposure to either maternal autoantibodies or anti-rheumatic drugs. Absolute numbers of offspring affected by AD and ND were low in a multicentre cohort of Italian women with RD. This information can be helpful for the counselling about reproductive issues, as the health outcomes of the offspring might not be an issue which discourage women with RD from having children., (© 2021. The Author(s).)

The accurate and reliable assessment of gait parameters is assuming an important role, especially in the perspective of designing new therapeutic and rehabilitation strategies for the remote follow-up of people affected by disabling neurological diseases, including Parkinson's disease and post-stroke injuries, in particular considering how gait represents a fundamental motor activity for the autonomy, domestic or otherwise, and the health of neurological patients. To this end, the study presents an easy-to-use and non-invasive solution, based on a single RGB-D sensor, to estimate specific features of gait patterns on a reduced walking path compatible with the available spaces in domestic settings. Traditional spatio-temporal parameters and features linked to dynamic instability during walking are estimated on a cohort of ten parkinsonian and eleven post-stroke subjects using a custom-written software that works on the result of a body-tracking algorithm. Then, they are compared with the "gold standard" 3D instrumented gait analysis system. The statistical analysis confirms no statistical difference between the two systems. Data also indicate that the RGB-D system is able to estimate features of gait patterns in pathological individuals and differences between them in line with other studies. Although they are preliminary, the results suggest that this solution could be clinically helpful in evolutionary disease monitoring, especially in domestic and unsupervised environments where traditional gait analysis is not usable.

Objective: Autoimmune systemic diseases (ASD) represent a predisposing condition to COVID-19. Our prospective, observational multicenter telephone survey study aimed to investigate the prevalence, prognostic factors, and outcomes of COVID-19 in Italian ASD patients., Methods: The study included 3,918 ASD pts (815 M, 3103 F; mean age 59±12SD years) consecutively recruited between March 2020 and May 2021 at the 36 referral centers of COVID-19 and ASD Italian Study Group. The possible development of COVID-19 was recorded by means of a telephone survey using a standardized symptom assessment questionnaire., Results: ASD patients showed a significantly higher prevalence of COVID-19 (8.37% vs. 6.49%; p<0.0001) but a death rate statistically comparable to the Italian general population (3.65% vs. 2.95%). Among the 328 ASD patients developing COVID-19, 17% needed hospitalization, while mild-moderate manifestations were observed in 83% of cases. Moreover, 12/57 hospitalized patients died due to severe interstitial pneumonia and/or cardiovascular events; systemic sclerosis (SSc) patients showed a significantly higher COVID-19-related death rate compared to the general population (6.29% vs. 2.95%; p=0.018). Major adverse prognostic factors to develop COVID-19 were: older age, male gender, SSc, pre-existing ASD-related interstitial lung involvement, and long-term steroid treatment. Of note, patients treated with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) showed a significantly lower prevalence of COVID-19 compared to those without (3.58% vs. 46.99%; p=0.000), as well as the SSc patients treated with low dose aspirin (with 5.57% vs. without 27.84%; p=0.000)., Conclusion: During the first three pandemic waves, ASD patients showed a death rate comparable to the general population despite the significantly higher prevalence of COVID-19. A significantly increased COVID-19- related mortality was recorded in only SSc patients' subgroup, possibly favored by preexisting lung fibrosis. Moreover, ongoing long-term treatment with csDMARDs in ASD might usefully contribute to the generally positive outcomes of this frail patients' population., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Objective: During the ongoing coronavirus disease 2019 pandemic, procalcitonin (PCT) levels have proven useful in assisting clinicians to diagnose bacterial superinfection. However, in the absence of signs of infection or at the resolution thereof, inappropriately and persistently high PCT levels may suggest and reveal the presence of other pathologies. We report a patient with severe acute respiratory syndrome coronavirus 2 pneumonia with initially elevated PCT levels that persisted during recovery, prompting the diagnosis of medullary thyroid carcinoma (MTC)., Methods: A 43-year-old man presented with a 2-day history of fever, sneezing, sore throat, and dry cough. His PCT was 94 ng/mL (normal value, 0.00-0.10 ng/mL), and he was positive for severe acute respiratory syndrome coronavirus 2 RNA., Results: Empirical antibiotic therapy was administered for 7 days, but despite a clinical improvement, serum PCT remained high (84 ng/mL). Serum calcitonin (CTN) was 2120 pg/mL (normal, ≤12 pg/mL). Cytologic examination of thyroid nodules and CTN measurement of the aspiration needle washout confirmed MTC. The patient underwent total thyroidectomy with bilateral cervical lymph node dissection. Lowered CTN (986 pg/mL) and PCT (16 ng/mL) levels were observed 48 hours after surgery. A close follow-up was planned following the results of RET gene analysis., Conclusion: PCT can be a useful biochemical marker of MTC suspicion in patients with inflammatory conditions and persistently elevated PCT, even after resolution. In our case, high levels of PCT in a patient with coronavirus disease 2019 pneumonia without signs of bacterial infection led to MTC diagnosis., (© 2021 AACE. Published by Elsevier Inc.)

Background: The Covid-19 pandemic may have a deleterious impact on patients with autoimmune systemic diseases (ASD) due to their deep immune-system alterations., Objective: This study aims to investigate the prevalence of symptomatic Covid-19 and its correlations with both organ involvement and ongoing treatments in a large series of Italian ASD patients during the first wave of pandemic., Methods: Our multicenter telephone 6-week survey included 3,029 unselected ASD patients enrolled at 36 tertiary referral centers of northern, central, and southern Italian macro-areas with different diffusion of the pandemic. Symptomatic SARS-CoV-2 infection was classified as definite Covid-19 (presence of symptoms plus positive oral/nasopharyngeal swabs) or highly suspected Covid-19 (highly suggestive symptoms, in the absence of a swab testing)., Results: A significantly higher prevalence of definite plus highly suspected Covid-19 compared to the Italian general population was detected in the whole ASD series (p=.000), as well as in patients from the three macro-areas (p=.000 in all). Statistically higher prevalence of Covid-19 was also found in connective tissue diseases compared to chronic arthritis subgroup (p=.000) and in ASD patients with pre-existing interstitial lung involvement (p=.000). Patients treated with either conventional disease-modifying anti-rheumatic drugs (DMARDs) and/or biological DMARDs showed a significantly lower prevalence of Covid-19 (p=.000 in both). Finally, scleroderma patients undergoing low-dose aspirin showed a significantly lower rate of Covid-19 compared to those without (p=0.003)., Conclusion: The higher prevalence of Covid-19 in ASD patients, along with the significant correlations with important clinical features and therapeutic regimens, suggests the need to develop targeted prevention/management strategies during the current pandemic wave., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

The increment of the prevalence of neurological diseases due to the trend in population aging demands for new strategies in disease management. In Parkinson's disease (PD), these strategies should aim at improving diagnosis accuracy and frequency of the clinical follow-up by means of decentralized cost-effective solutions. In this context, a system suitable for the remote monitoring of PD subjects is presented. It consists of the integration of two approaches investigated in our previous works, each one appropriate for the movement analysis of specific parts of the body: low-cost optical devices for the upper limbs and wearable sensors for the lower ones. The system performs the automated assessments of six motor tasks of the unified Parkinson's disease rating scale, and it is equipped with a gesture-based human machine interface designed to facilitate the user interaction and the system management. The usability of the system has been evaluated by means of standard questionnaires, and the accuracy of the automated assessment has been verified experimentally. The results demonstrate that the proposed solution represents a substantial improvement in PD assessment respect to the former two approaches treated separately, and a new example of an accurate, feasible and cost-effective mean for the decentralized management of PD.

Objectives: To describe the baseline characteristics of the patients enrolled in the QUality of life in patients with Axial SpondyloARthritis (QUASAR) study in terms of quality of life (QoL), disease activity, therapy adherence, and work ability in a real-world setting., Methods: QUASAR is an Italian multicentre, prospective 12-month observational study, including consecutive adult patients classified as axial spondyloarthritis (axSpA) according to the Assessment of SpondyloArthritis international Society criteria for axSpA., Results: Of 512 patients enrolled in 23 rheumatology centres, 80.7% had ankylosing spondylitis (AS) and 19.3% had non-radiographic axSpA (nr-axSpA). Mean ages were 34.1±13.3 years at axSpA symptoms onset and 39.5±13.0 years at diagnosis. Of the patients, 51.4% presented with ≥1 extra articular manifestation (EAM); the most common were psoriasis (17.8%) and uveitis (16.4%). Patients with nr-axSpA and AS had similar EAM rates, disease activity, and QoL. Biologic disease-modifying anti-rheumatic drugs (bDMARDs; 83.2%) were the most commonly received medication, followed by conventional synthetic DMARDs (22.9%) and non-steroidal anti-inflammatory drugs (NSAIDs; 16.6%). At baseline, higher treatment satisfaction was reported with bDMARDs which, together with NSAIDs, were associated with the best overall scores for disease activity, function, and QoL in the overall population and AS subgroup., Conclusions: QUASAR is the first Italian prospective study that comprehensively evaluated a large axSpA patient sample in a real-world setting. This interim analysis at baseline confirmed that i) patients with AS and nr-axSpA have similar QoL and disease burden, ii) nearly all axSpA patients receive treatment, and iii) bDMARDs and NSAIDs, overall, yield better disease activity and QoL.

Objective: The reproductive choices of women affected by rheumatic diseases (RD) can be influenced by several factors, including the quality of physician-patient communication. We conducted a survey on reproductive issues aiming at exploring the unmet needs of women with RD during childbearing age., Methods: We administered 65 multiple-choice and 12 open-answer questions about pregnancy counselling, contraception, use of drugs during pregnancy and other women reproductive issues to 477 consecutive women with RD aged 18-55 years followed-up in 24 rheumatology centres in Italy. Analysis was restricted to 398 patients who received their diagnosis of RD before the age of 45. According to the RD diagnosis, patients were subdivided into 2 groups: connective tissue diseases (n = 249) and chronic arthritis (n = 149)., Results: At the time of interview, women in both groups had a mean age of 40 years. Nearly one third of patients in each group declared not to have received any counselling about either pregnancy desire nor contraception. A smaller family size than desired was reported by nearly 37% of patients, because of concerns related to maternal disease in one fourth of the cases. A "Disease Knowledge Index" (DKI) was created to investigate the degree of patients' information about the implications of their RD on reproductive issues. Having received counselling was associated with higher DKI values and with a positive impact on family planning., Conclusion: Italian women of childbearing age affected by RD reported several unmet needs in their knowledge about reproductive issues. Strategies are needed to implement and facilitate physician-patient communication., (Copyright © 2018. Published by Elsevier Masson SAS.)

A self-managed, home-based system for the automated assessment of a selected set of Parkinson's disease motor symptoms is presented. The system makes use of an optical RGB-Depth device both to implement its gesture-based human computer interface and for the characterization and the evaluation of posture and motor tasks, which are specified according to the Unified Parkinson's Disease Rating Scale (UPDRS). Posture, lower limb movements and postural instability are characterized by kinematic parameters of the patient movement. During an experimental campaign, the performances of patients affected by Parkinson's disease were simultaneously scored by neurologists and analyzed by the system. The sets of parameters which best correlated with the UPDRS scores of subjects' performances were then used to train supervised classifiers for the automated assessment of new instances of the tasks. Results on the system usability and the assessment accuracy, as compared to clinical evaluations, indicate that the system is feasible for an objective and automated assessment of Parkinson's disease at home, and it could be the basis for the development of neuromonitoring and neurorehabilitation applications in a telemedicine framework., Competing Interests: The authors declare no conflict of interest.

A home-based, reliable, objective and automated assessment of motor performance of patients affected by Parkinson's Disease (PD) is important in disease management, both to monitor therapy efficacy and to reduce costs and discomforts. In this context, we have developed a self-managed system for the automated assessment of the PD upper limb motor tasks as specified by the Unified Parkinson's Disease Rating Scale (UPDRS). The system is built around a Human Computer Interface (HCI) based on an optical RGB-Depth device and a replicable software. The HCI accuracy and reliability of the hand tracking compares favorably against consumer hand tracking devices as verified by an optoelectronic system as reference. The interface allows gestural interactions with visual feedback, providing a system management suitable for motor impaired users. The system software characterizes hand movements by kinematic parameters of their trajectories. The correlation between selected parameters and clinical UPDRS scores of patient performance is used to assess new task instances by a machine learning approach based on supervised classifiers. The classifiers have been trained by an experimental campaign on cohorts of PD patients. Experimental results show that automated assessments of the system replicate clinical ones, demonstrating its effectiveness in home monitoring of PD.

Introduction and Aims: Thromboembolic disease can, in a large number of cases, be prevented in patients undergoing major surgery by using low molecular weight heparin (LMWH). These molecules extracted from standard heparin using a variety of cleavage methods possess different physical and chemical characteristics. The aim of this study was to compare two LMWH in the prevention of thromboembolism and in terms of safety., Methods: Thirty patients of both sexes were admitted to the study and underwent major abdominal surgery. Fifteen patients were treated with dalteparin sodium, 2500 IU, and fifteen with nadroparin calcium, 3075 IU. Subcutaneous administration was commenced two hours prior to surgery and continued for at least five days after the operation until the complete mobilisation of the patient. Six blood samples were taken from each patient in order to assay: aPTT, heparin, X factor, Quick time, ATIII, platelets and hemoglobin. Intraoperative bleeding and drainage were recorded for each patient., Results: The group treated with nadroparin showed a significant reduction in hemoglobin, correlated with greater blood loss (p < 0.05) compared to the group treated with dalteparin., Conclusions: Both nadroparin and dalteparin showed good anti-Xa activity and safety, but although they possess the same pharmacodynamic characteristics, they should not be regarded as equal or interchangeable.

The dibenzyldithiocarbamate chelates of Cd(II), Pb(II), Bi(III), Hg(II), Ni(II), Cu(II), As(III), Fe(III), Co(III) and In(III) are separated by reversed-phase HPLC in isocratic conditions. The procedure is simple, rapid, and gives satisfactory separations with high efficiency and sensitivity at mobile phase compositions very rich in organic modifier (85-88% CH(3)CN). The detection limits range from 1.4 to 14 mug/1. The elution order is correlated with the ability of the central metal atom to affect the electronic distribution of the ligand, which has readily polarizable donor atoms. Infrared spectroscopy data corroborate this assumption.