Background: Resection of oral cavity carcinoma often leads to complex defects causing functional and aesthetic morbidity. Providing optimum reconstruction with free flaps becomes challenging in a high-volume center setting with constrained resources. Hence, understanding the local flap technique for reconstructing oral cancer defects is prudent.
Materials and Methods: This study is a retrospective analysis of prospectively operated cases of oral cavity resections which were subsequently reconstructed using local flaps from 2019 to 2022. Patients who underwent reconstruction with either melolabial flap, islanded facial artery myomucosal (FAMM) flap, submental flap, supraclavicular artery island (SAI) flap, infrahyoid flap, or platysma myocutaneous flap (PMF) were included in this analysis. Eligible patients were followed up to evaluate functional outcomes like oral feeding and to analyze the Performance Status Scale for Head and Neck Cancer.
Results: The study included 104 patients. The tongue was the most common subsite, resulting in most hemiglossectomy defects, which were reconstructed using the melolabial flap procedure. Buccal mucosa defects in our series were reconstructed using the supraclavicular flap, whereas the submental flap procedure was the choice for lower lip-commissure defects. Complications such as partial and total flap loss, deep neck infection, and donor site complications like infection and gaping, oral cutaneous fistula, parotid fistula, and seroma were analyzed; the supraclavicular flap presented with a majority of complications.
Conclusion: Local flaps are an alternative to free flap reconstruction in select cases with optimum functional outcomes and minimal donor site morbidity. This article comprehensively reviews the surgical steps for various local flap procedures in oral cancer defects.
There is a long history of starvation, including reports dated back to antiquity. Despite exceptional scientific developments, starvation still exists today. The medical aspects of starvation were well established in the twentieth century, particularly following studies related to the 1943–1944 Bengal famine in India and starved prisoners of war and survivors of World War 2. The refeeding of the starved victims provided disappointing results. Nevertheless, those studies eventually led to the development of a new branch of research in medicine and to the definition of what is now known as refeeding syndrome. This paper briefly reviews the history and groundwork that led to today’s understanding of starvation and refeeding, with a particular emphasis on the observations from studies on starved Holocaust survivors and prisoners of war after World War 2. The relevance of these studies for modern times is briefly discussed.
Pancytopenia is defined as a reduction in red blood cells, white blood cells, and platelets, and can pose as a diagnostic challenge due to the multitude of causes. Myxedema coma is the manifestation of severe untreated hypothyroidism. This case report presents a rare instance of myxedema coma-associated pancytopenia in a 53-year-old man with a history of untreated hypothyroidism. The patient presented with altered mental status and vital instability, and on further workup was found to have pancytopenia. During his hospital stay his symptomatic hypothyroidism was identified, and he was treated with intravenous levothyroxine, hydrocortisone, and supportive care. The patient’s clinical status improved gradually, with normalized blood counts upon discharge. This case underscores the significance of considering myxedema coma in the differential diagnosis of pancytopenia, especially in older patients with limited healthcare access. Increased awareness of this association can aid clinicians in timely diagnosis and management, preventing potential complications associated with untreated hypothyroidism.
Objectives: To assess the impact of different types of anemia and of concomitant non-cardiovascular chronic illnesses on outcomes of patients with ST-segment elevation myocardial infarction (STEMI) and baseline anemia admitted to the Intensive Cardiac Care Unit.
Methods: Based on the mean corpuscular volume, anemia was stratified into: microcytic (<80 fL), normocytic (≥80, <96 fL), and macrocytic (≥96 fL). Data on concomitant chronic non-cardiovascular illnesses including malignancies were carefully collected. Endpoints included in-hospital bleeding as well as all-cause mortality at long-term follow-up.
Results: Of 1,390 patients with STEMI, 294 patients had baseline anemia (21.2%), in whom normocytic, microcytic, and macrocytic anemia was present in 77.2%, 17.0%, and 5.8% patients, respectively. In-hospital bleeding occurred in 25 (8.5%) of the study population without significant differences between the three groups. At a mean follow-up of 5.5±3.5 years, 104 patients (35.4%) had died. Mortality was the highest in patients with macrocytic anemia, followed by patients with normocytic anemia and microcytic anemia (58.8%, 37.0%, and 20.0%, respectively; P=0.009). Chronic non-cardiovascular condition was identified as an independent predictor of both in-hospital bleeding (odds ratio=2.57, P=0.01) and long-term mortality (hazard ratio [HR] 1.54, P=0.019). Performance of coronary angiography within index hospitalization was associated with lower long-term mortality (HR 0.38, P=0.001). Mean corpuscular volume did not predict either in-hospital bleeding or mortality.
Conclusions: Chronic non-cardiovascular illnesses are highly prevalent among patients with STEMI and baseline anemia, and are strongly associated with higher in-hospital bleeding and long-term mortality. Type of anemia is not related to prognosis post-STEMI.
Cardiopulmonary resuscitation (CPR) is a first-line therapy for sudden cardiac arrest, while extracorporeal membrane oxygenation (ECMO) has traditionally been used as a means of countering circulatory failure. However, new advances dictate that CPR and ECMO could be complementary for support after cardiac arrest. This review details the emerging science, technology, and clinical application that are enabling the new paradigm of these iconic circulatory support modalities in the setting of cardiac arrest.
Diarrhea, an illness of both the developed and developing world, involves the burdensome characteristics of frequent bowel movements, loose stools, and abdominal discomfort. Diarrhea is a long-standing challenge in palliative care and can have a myriad of causes, making symptomatic treatment pertinent when illness evaluation is ongoing, when there is no definitive treatment approach, or when effective treatment cannot be attained. Symptomatic therapy is a common approach in palliative care settings. Bismuth is a suitable agent for symptomatic therapy and can be effectively employed for management of chronic diarrhea. The objective of this narrative review is to examine the role of bismuth in management of diarrheal symptoms. To explore this, PubMed (including Medline) and Embase were used to search the existing literature on bismuth and diarrhea published from 1980 to 2019. It was found that bismuth has potential utility for diarrheal relief in multiple settings, including microscopic colitis, traveler’s diarrhea, gastrointestinal infection, cancer, and chemotherapy. It also has great potential for use in palliative care patients, due to its minimal side effects. Overall, the antisecretory, anti-inflammatory, and antibacterial properties of bismuth make it a suitable therapy for symptomatic treatment of diarrhea. The limited range of adverse side effects makes it an appealing option for patients with numerous comorbidities. Healthcare providers can explore bismuth as an adjunct therapy for diarrhea management in an array of conditions, especially in the palliative care setting.
The outbreak of coronavirus disease 2019 (COVID-19) in Italy, the first Western country hit by the pandemic, seriously impacted the Italian healthcare system and social and economic environment. This perspective piece focuses on the main challenges faced by Italian hospital managements: hospital overcrowding; the need for urgent reorganization of the country’s healthcare systems; the lack of data regarding COVID-19 diagnostics, clinical course, and effective treatment; individual and collective consequences of the crisis; and the importance of disease containment measures and early treatment strategies.
Biofilms are formed by the congregation of one or more types of microorganisms that can grow on a firm surface. Dental plaque is one of the most commonly forming biofilms in the oral cavity and appears as a slimy layer on the surface of the teeth. In general, the formation is slow, but biofilms are very adaptive to the changing environment, and a mature biofilm can cause many health-related problems in humans. These biofilms remain unaffected by antibiotics as they do not allow the penetration of antibiotics. Moreover, the increased level of virulence and antibiotic resistance of microorganisms in the oral biofilm or dental plaque has made its clinical management a serious clinical challenge worldwide. Chlorhexidine-like antimicrobial drugs have been partially effective in removing such organisms; however, the precise and continuous elimination of these microorganisms without disturbing the normal microbial flora of the oral cavity is still a challenge. This paper focuses on the process of oral biofilm formation, related complications, development of drug-resistant bacteria in these biofilms, and their effective management by the use of different novel techniques.
The coronavirus disease 2019 (COVID-19) pandemic has remarkably challenged health care organizations and societies. A key strategy for confronting the disease implications on individuals and communities was based on harnessing multidisciplinary efforts to develop technologies for mitigating the disease spread and its deleterious clinical implications. One of the main challenging characteristics of COVID-19 is the provision of medical care to patients with a highly infective disease mandating the use of isolation measures. Such care is complicated by the need for complex critical care, dynamic treatment guidelines, and a vague knowledge regarding the disease’s pathophysiology. A second key component of this challenge was the over¬whelming surge in patient burden and the relative lack of trained staff and medical equipment which required rapid re-organization of large systems and augmenting health care efficiencies to unprecedented levels. In contrast to the risk management strategies employed to mitigate other serious threats and the billions of dollars that are invested in reducing these risks annually by governments around the world, no such preparation has been shown to be of effect during the current COVID-19 pandemic. Unmet needs were identified within the newly opened COVID-19 departments together with the urgent need for reliable information for effective decision-making at the state level.
This review article describes the early research and development response in Israel under the scope of in-hospital patient care, such as non-contact sensing of patients’ vital signs, and how it could potentially be weaved into a practical big picture at the hospital or national level using a strategic management system. At this stage, some of the described technologies are still in developmental or clinical evidence generation phases with respect to COVID-19 settings. While waiting for future publications describing the results of the ongoing evidence generation efforts, one should be aware of this trend as these emerging tools have the potential to further benefit patients as well as caregivers and health care systems beyond the scope of the current pandemic as well as confronting future surges in the number of cases.
On May 19, 2020, data confirmed that coronavirus 2019 disease (COVID-19) had spread worldwide, with more than 4.7 million infected people and more than 316,000 deaths. In this article, we carry out a comparison of the methods to calculate and forecast the growth of the pandemic using two statistical models: the autoregressive integrated moving average (ARIMA) and the Gompertz function growth model. The countries that have been chosen to verify the usefulness of these models are Austria, Switzerland, and Israel, which have a similar number of habitants. The investigation to check the accuracy of the models was carried out using data on confirmed, non-asymptomatic cases and confirmed deaths from the period February 21–May 19, 2020. We use the root mean squared error (RMSE), the mean absolute percentage error (MAPE), and the regression coefficient index R2 to check the accuracy of the models. The experimental results provide promising adjustment errors for both models (R2>0.99), with the ARIMA model being the best for infec¬tions and the Gompertz best for mortality. It has also been verified that countries are affected differently, which may be due to external factors that are difficult to measure quantitatively. These models provide a fast and effective system to check the growth of pandemics that can be useful for health systems and politi¬cians so that appropriate measures are taken and countries’ health care systems do not collapse.
