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LitCovid-sentences

Id Subject Object Predicate Lexical cue
T153 0-45 Sentence denotes COVID-19 and specific neurological conditions
T154 46-188 Sentence denotes Neurological manifestations of COVID-19 may be mild and diffuse, such as headache and myalgia or severe, such as intracranial infections [50].
T155 189-311 Sentence denotes While severe neurological symptoms have been reported and are associated with worse outcomes, they appear to be rare [50].
T156 312-537 Sentence denotes It is important in this connection to note that COVID-19 may cause specific neurological symptoms, exacerbate preexisting neurological conditions, or unmask preexisting neurological conditions that had not yet been diagnosed.
T157 538-664 Sentence denotes Any number of infections can unmask an undiagnosed neurological condition, resulting in their overt emergence or exacerbation.
T158 665-830 Sentence denotes Thus, a portion of COVID-associated neurological and neuromuscular symptoms may be unmasked in the pandemic rather than directly caused by the SARS-CoV-2 virus [70].
T159 831-1424 Sentence denotes In a study from the United Kingdom of 43 patients with a confirmed COVID-19 diagnosis or where the diagnosis of COVID-19 was deemed ‘probable’ or ‘possible’ based on World Health Organization criteria, 10/43 patients had encephalopathy with delirium/psychosis and no abnormalities on magnetic resonance imaging or in cerebrospinal fluid, 12/43 exhibited inflammatory syndromes of the central nervous system, including encephalitis, 8/43 had ischemic stroke, 8/43 had peripheral neurological disorders (predominantly Guillain-Barré syndrome), and 5/43 with miscellaneous central disorders [71].
T160 1425-1520 Sentence denotes These neurological disorders were similar to those associated with other coronavirus epidemics.
T161 1521-1722 Sentence denotes An online network of rapid-response case report notifications in the United Kingdom was launched in April and collected 23 days of data in April 2020 about COVID-19 patients with neurological symptoms.
T162 1723-1788 Sentence denotes A total of 153 cases were reported that met clinical definitions.
T163 1789-2028 Sentence denotes The median patient age was 71 years (range 23–94, interquartile range 58–79) with 62% presenting with a cerebrovascular event, 74% with ischemic stroke, 12% with intracerebral hemorrhage, and 1% with central nervous system vasculitis [72].
T164 2029-2361 Sentence denotes In the ALBACOVID registry study of 841 hospitalized COVID-19 patients in Spain evaluated in March 2020, 57% had some neurological symptom(s), with myalgia, headache, and dizziness more likely to occur early in the diseases; neurological complication were the main cause of death in 4% of the decedents in this study population [73].
T165 2362-2556 Sentence denotes Patients with confirmed or suspected COVID-19 may have preexisting neurological conditions or be at elevated risk for them, for example, patients with atrial fibrillation are at risk for stroke.
T166 2557-2686 Sentence denotes Certain motor neuron diseases, such as amyotrophic lateral sclerosis, may put patients at elevated risk for infection in general.
T167 2687-2841 Sentence denotes Of particular concern are patients with muscular dystrophies associated with weakness of ventilator muscles or cardiomyopathy who are exposed to COVID-19.
T168 2842-2957 Sentence denotes In such cases, patients may recover from COVID-19 but not go back to their baseline neuromuscular functioning [70].
T169 2959-2973 Sentence denotes Encephalopathy
T170 2974-3168 Sentence denotes Encephalopathy, which often presents in infectious disease patients as delirium, is a brain disorder that causes acute or subacute dysfunction in terms of consciousness or altered mental states.
T171 3169-3322 Sentence denotes The elderly, people with cognitive deficits, and people with hypertension are elevated risk for developing an altered mental state with COVID-19 [52,74].
T172 3323-3475 Sentence denotes Cerebral edema, a dangerous condition which can cause elevated intracranial pressure and encephalopathy, has been identified in COVID-19 decedents [75].
T173 3476-3639 Sentence denotes Those with a history of neurological damage and acute respiratory distress are at elevated risk for developing encephalopathy as the initial COVID-19 symptom [76].
T174 3640-3788 Sentence denotes The risk becomes greater as the COVID-19 becomes more severe; altered consciousness occurs in 2.4% of mild and 15% of severe COVID-19 patients [52].
T175 3789-3899 Sentence denotes The risk for delirium, like the risk for worse outcomes with COVID-19, is also associated with older age [77].
T176 3900-4024 Sentence denotes The use of sedatives, which is common in critically ill patients, may also be associated with the risk for delirium [78,79].
T177 4025-4288 Sentence denotes Social distancing mandated for COVID-19 may actually contribute to the rate of delirium of certain COVID-19 patients, who may feel desperate and panicked as they are isolated, separated from family, alone, and/or denied religious support from a clergyperson [77].
T178 4289-4609 Sentence denotes Delirium in hospitalized COVID-19 patients may be the result of direct CNS invasion, induction of CNS inflammatory mediators, a secondary effect of other organ system failures, the effect of sedation, the result of prolonged mechanical ventilation, a psychological manifestation, or caused by environmental factors [77].
T179 4610-4876 Sentence denotes In cases of COVID-19, it is thought that delirium caused by direct invasion of the virus into the CNS is relatively rare, but possible, and would likely be accompanied by seizures, altered states of consciousness, or signs of increased intracranial pressure [39,46].
T180 4877-4977 Sentence denotes The rates and presentation of encephalopathy and delirium in COVID-19 patients has not been studied.
T181 4978-5167 Sentence denotes Delirium in COVID-19 patients may be under-reported to date, indeed delirium is thought to be widely under-reported for various conditions unless it is being specifically monitored [79–82].
T182 5168-5246 Sentence denotes Case studies of COVID-19-associated delirium appear in the literature [83,84].
T183 5247-5371 Sentence denotes Acute necrotizing encephalopathy, although relatively rare, has also been diagnosed in a hospitalized COVID-19 patient [85].
T184 5372-5551 Sentence denotes Overall, ICU patients on mechanical ventilation have rates of delirium as high as 70% to 75%, and delirium is associated with mortality and long-term cognitive impairment [86–88].
T185 5552-5685 Sentence denotes The causes of COVID-19-associated encephalopathy may involve multiple factors, including metabolic causes, hypoxia, and drug therapy.
T186 5686-5779 Sentence denotes Symptomatic treatment involves antipyretics, anticonvulsants, and treatment for hypoxia [21].
T187 5780-5939 Sentence denotes Early signs of delirium in COVID-19 patients might suggest CNS involvement and, as such, might indicate heightened risk for impending respiratory failure [77].
T188 5940-6185 Sentence denotes In a study of 27 pediatric COVID-19 patients with multisystem inflammatory syndrome, 15% (n = 4) exhibited new-onset neurological symptoms, such as encephalopathy, headaches, brainstem, and cerebellar signs, weak muscles, and poor reflexes [89].
T189 6186-6376 Sentence denotes Cerebrospinal fluid testing in two patients were acellular; three patients underwent nerve conduction and electromyographical studies, which revealed mild myopathic and neuropathic deficits.
T190 6377-6476 Sentence denotes All four patients improved, two of whom made a complete recovery over the course of the study [89].
T191 6478-6507 Sentence denotes Guillain-Barré syndrome (GBS)
T192 6508-6588 Sentence denotes GBS typically involves demyelination and presents in both upper and lower limbs.
T193 6589-6767 Sentence denotes While there is no clear evidence to date associating the SARS-CoV-2 virus with GBS, other viral infections, such as influenza and the Epstein-Barr virus, have been linked to GBS.
T194 6768-6937 Sentence denotes The association is based on the idea that there can be molecular mimicry between certain viral proteins and the gangliosides and other proteins on the peripheral nerves.
T195 6938-7051 Sentence denotes This can result in an ‘innocent bystander attack’ against the myelin sheath or axon of the peripheral nerve [70].
T196 7052-7247 Sentence denotes GBS is a complex disorder and has been recognized as a para-infectious neurological disease, and has associations with the Zika virus that were documented during the 2015–2016 Zika epidemic [90].
T197 7248-7317 Sentence denotes It is not known if the coronavirus can damage peripheral nerves [44].
T198 7318-7670 Sentence denotes The literature reports on several cases that suggest a link between COVID-19 and GBS [91–94], for example, the case of a 62-year-old COVID patient with GBS; however it is unclear if this patient, who had comorbid lymphopenia and thrombocytopenia, developed GBS and COVID-19 independently but concurrently, or if COVID-19 might have caused the GBS [95].
T199 7671-7794 Sentence denotes It must likewise be considered that COVID-19-associated neurological manifestations may emerge after the initial infection.
T200 7795-7913 Sentence denotes Thus, while there is currently no evidence that COVID-19 can cause GBS, it is an area worthy of further investigation.
T201 7914-8143 Sentence denotes It should be noted in this context that clinicians may sometimes observe peripheral neuropathies, for example based around the ulna, that have to do with prolonged intubation periods in a position that impinges the cubital canal.
T202 8145-8181 Sentence denotes Myopathy and neuromuscular disorders
T203 8182-8379 Sentence denotes Myalgia and fatigue are common symptoms of COVID-19 and a study of COVID-19 patients found 44% to 70% of hospitalized patients had these symptoms and 33% had increased creatine kinase (CK) [10,96].
T204 8380-8607 Sentence denotes However, the nature of the rapid outbreak and spread of the virus did not allow for thorough workup of such COVID-19 patients that might have included electromyography testing, muscle imaging, or histopathological examinations.
T205 8608-8718 Sentence denotes Myalgia occurred in about a third of SARS patients [97], and rhabdomyolysis has been observed as well [47,98].
T206 8720-8732 Sentence denotes Encephalitis
T207 8733-8810 Sentence denotes Encephalitis or inflammation of the brain may be caused by a viral infection.
T208 8811-8923 Sentence denotes The symptoms of encephalitis include fever, headache, seizures, altered consciousness, and behavioral disorders.
T209 8924-9064 Sentence denotes A case report from China describes encephalitis in a male patient with COVID-19 with no traces of the SARS-CoV-2 in his cerebrospinal fluid.
T210 9065-9211 Sentence denotes His main symptom was altered consciousness but the condition was self-limiting and the patient recovered from both COVID-19 and encephalitis [99].
T211 9212-9333 Sentence denotes Although unusual, patients with COVID-19 may present with encephalitis rather than the typical respiratory symptoms [57].
T212 9334-9399 Sentence denotes COVID-19 patients with encephalitis may also experience seizures.
T213 9400-9511 Sentence denotes In particular, it is important to note that nonconvulsive status epilepticus (NCSE) may occur in such patients.
T214 9512-9704 Sentence denotes The Salzburg Consensus Criteria for Nonconvulsive Status Epilepticus was published in 2015 and provides terminology definitions and identified specific EEG tracings associated with NCSE [100].
T215 9705-9856 Sentence denotes NCSE may be evident on electroencephalography (EEG), so that continuous EEG monitoring may be appropriate for critically ill patients in general [101].
T216 9857-9926 Sentence denotes In comatose patients, NCSE has a prevalence between 5% and 48% [102].
T217 9927-9989 Sentence denotes Its prevalence specifically in COVID-19 patients is not known.
T218 9991-10009 Sentence denotes Cephalgia/headache
T219 10010-10202 Sentence denotes Early reports out of Wuhan described headache and decreased responsiveness of patients as an early indicator of potential neurologic involvement associated with the SARS-CoV-2 infection [103].
T220 10203-10286 Sentence denotes Headaches have been reported in 11% to 34% of hospitalized COVID-19 patients [104].
T221 10287-10433 Sentence denotes Among COVID-19 patients who developed symptoms, the incidence of headache is 6% to 10% and headache was often among the presenting symptoms [104].
T222 10434-10611 Sentence denotes Initial reports of the so-called ‘COVID-19 headache’ describe bilateral cephalgia characterized by pulsating pain in the temporoparietal region, forehead, or periorbital region.
T223 10612-10726 Sentence denotes Such headaches were limited to active periods of the COVID-19 infection and resisted conventional analgesia [104].
T224 10727-10881 Sentence denotes While it is plausible that these headaches relate to the viral invasion, they may also be a byproduct of cytokine storm or have some other etiology [105].
T225 10883-10920 Sentence denotes Critical-illness polyneuropathy (CIP)
T226 10921-11008 Sentence denotes Acute neuropathy or CIP may develop in patients suffering a number of severe illnesses.
T227 11009-11076 Sentence denotes CIP typically remits as the patient recovers from the illness [44].
T228 11077-11346 Sentence denotes Signs and symptoms of CIP include reduced compound muscle action potentials amplitude, abnormal spontaneous unilateral activities in the diaphragmatic needle electromyography evaluation, abnormal F responses, and an abnormal H reflex on electrodiagnostic studies [106].
T229 11347-11483 Sentence denotes The pathogenesis of CIP is not well elucidated and may involve a systemic inflammatory response to sepsis that damages the nerves [107].
T230 11484-11536 Sentence denotes Its prevalence among COVID-19 patients is not known.
T231 11538-11564 Sentence denotes Cerebrovascular conditions
T232 11565-11654 Sentence denotes Vascular comorbidities seem to pose a risk factor for worse outcomes with COVID-19 [108].
T233 11655-11738 Sentence denotes Stroke is emerging as an increasingly important adverse event in COVID-19 patients.
T234 11739-12065 Sentence denotes From a retrospective single-center study in China (n = 221), risk factors for stroke in COVID-19 patients appear to be: older age, more severe COVID-19, history of hypertension, diabetes, cerebrovascular diseases, and any marked inflammatory or pro-coagulant response, such as a high C-reactive protein or D-dimer level [108].
T235 12066-12156 Sentence denotes Cerebrovascular conditions may present as neurological symptoms in COVID-19 patients [21].
T236 12158-12205 Sentence denotes Parkinson’s disease (PD) and movement disorders
T237 12206-12389 Sentence denotes The etiology of PD likely involves the interplay of genetic and environmental factors, but viruses have been implicated in causing parkinsonism and other movement disorders [109,110].
T238 12390-12737 Sentence denotes In a study using the cerebrospinal fluid of 67 patients (20 with PD, 29 without PD but with another neurological disorder, and 18 healthy controls), the PD patients had a significantly higher mean cerebrospinal fluid antibody response to two specific coronaviruses (MHV-JHM and MHV-A59) than controls or patients with other neurological disorders.
T239 12738-12854 Sentence denotes It was theorized that some strain of coronavirus might contribute over the long term to the development of PD [110].
T240 12855-13084 Sentence denotes This may relate to the epidemiological observation that people who live on farms or grow up in farming communities have a higher risk of developing PD than others, possible due to zoonotic transmission of coronaviruses [111,112].
T241 13085-13255 Sentence denotes There is no compelling evidence to suggest that patients with PD are more likely to contract COVID-19 or that they are at elevated risk for worse COVID-19 outcomes [113].
T242 13256-13420 Sentence denotes However, PD is associated with decreased respiratory function, which might contribute to respiratory distress in any number of infections, including COVID-19 [114].
T243 13421-13638 Sentence denotes Furthermore, PD is comorbid with a number of disorders, including cerebrovascular disease, heart failure, and coronary artery disease, any of which would elevate risk of worse outcomes if COVID-19 was contracted [22].
T244 13640-13660 Sentence denotes Pulmonary conditions
T245 13661-13881 Sentence denotes It has been postulated that the neuroinvasion of the brain’s medulla oblongata region by the SARS-CoV-2 virus might impair cardiorespiratory control centers and, in that way, lead to respiratory distress and failure [4].
T246 13882-14009 Sentence denotes The literature reports a COVID-19 patient who lost the involuntary process of breathing and suffered respiratory failure [115].
T247 14010-14151 Sentence denotes ACE-2 receptors are expressed abundantly in the body, even in the brain, and particularly in the brain stem which controls respiration [116].
T248 14152-14304 Sentence denotes In the event that the SARS-CoV-2 virus might enter the microcirculatory system of the brain, it may access ACE-2 receptors in the capillary endothelium.
T249 14305-14434 Sentence denotes In such a situation, the virus can cause damage to the endothelium itself, enter the brain, and cause neuronal destruction [116].
T250 14435-14612 Sentence denotes Better understanding is urgently needed to elucidate the role of the SARS-CoV-2 virus in the brain and to risk-stratify patients who may be suffering COVID-related brain damage.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T76 119-127 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T77 132-139 Phenotype denotes myalgia http://purl.obolibrary.org/obo/HP_0003326
T78 1052-1066 Phenotype denotes encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T79 1072-1080 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T80 1081-1090 Phenotype denotes psychosis http://purl.obolibrary.org/obo/HP_0000709
T81 1249-1261 Phenotype denotes encephalitis http://purl.obolibrary.org/obo/HP_0002383
T82 1272-1287 Phenotype denotes ischemic stroke http://purl.obolibrary.org/obo/HP_0002140
T83 1925-1940 Phenotype denotes ischemic stroke http://purl.obolibrary.org/obo/HP_0002140
T84 1951-1975 Phenotype denotes intracerebral hemorrhage http://purl.obolibrary.org/obo/HP_0001342
T85 2012-2022 Phenotype denotes vasculitis http://purl.obolibrary.org/obo/HP_0002633
T86 2176-2183 Phenotype denotes myalgia http://purl.obolibrary.org/obo/HP_0003326
T87 2185-2193 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T88 2199-2208 Phenotype denotes dizziness http://purl.obolibrary.org/obo/HP_0002321
T89 2513-2532 Phenotype denotes atrial fibrillation http://purl.obolibrary.org/obo/HP_0005110
T90 2549-2555 Phenotype denotes stroke http://purl.obolibrary.org/obo/HP_0001297
T91 2596-2625 Phenotype denotes amyotrophic lateral sclerosis http://purl.obolibrary.org/obo/HP_0007354
T92 2727-2747 Phenotype denotes muscular dystrophies http://purl.obolibrary.org/obo/HP_0003560
T93 2798-2812 Phenotype denotes cardiomyopathy http://purl.obolibrary.org/obo/HP_0001638
T94 2959-2973 Phenotype denotes Encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T95 2974-2988 Phenotype denotes Encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T96 3045-3053 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T97 3194-3212 Phenotype denotes cognitive deficits http://purl.obolibrary.org/obo/HP_0100543
T98 3230-3242 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T99 3323-3337 Phenotype denotes Cerebral edema http://purl.obolibrary.org/obo/HP_0002181
T100 3412-3426 Phenotype denotes encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T101 3530-3550 Phenotype denotes respiratory distress http://purl.obolibrary.org/obo/HP_0002098
T102 3587-3601 Phenotype denotes encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T103 3802-3810 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T104 4007-4015 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T105 4104-4112 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T106 4289-4297 Phenotype denotes Delirium http://purl.obolibrary.org/obo/HP_0031258
T107 4651-4659 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T108 4781-4789 Phenotype denotes seizures http://purl.obolibrary.org/obo/HP_0001250
T109 4836-4867 Phenotype denotes increased intracranial pressure http://purl.obolibrary.org/obo/HP_0002516
T110 4907-4921 Phenotype denotes encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T111 4926-4934 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T112 4978-4986 Phenotype denotes Delirium http://purl.obolibrary.org/obo/HP_0031258
T113 5046-5054 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T114 5204-5212 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T115 5247-5279 Phenotype denotes Acute necrotizing encephalopathy http://purl.obolibrary.org/obo/HP_0006965
T116 5434-5442 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T117 5470-5478 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T118 5522-5542 Phenotype denotes cognitive impairment http://purl.obolibrary.org/obo/HP_0100543
T119 5586-5600 Phenotype denotes encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T120 5659-5666 Phenotype denotes hypoxia http://purl.obolibrary.org/obo/HP_0012418
T121 5766-5773 Phenotype denotes hypoxia http://purl.obolibrary.org/obo/HP_0012418
T122 5795-5803 Phenotype denotes delirium http://purl.obolibrary.org/obo/HP_0031258
T123 5914-5933 Phenotype denotes respiratory failure http://purl.obolibrary.org/obo/HP_0002878
T124 6088-6102 Phenotype denotes encephalopathy http://purl.obolibrary.org/obo/HP_0001298
T125 6104-6113 Phenotype denotes headaches http://purl.obolibrary.org/obo/HP_0002315
T126 6130-6146 Phenotype denotes cerebellar signs http://purl.obolibrary.org/obo/HP_0001317
T127 6531-6544 Phenotype denotes demyelination http://purl.obolibrary.org/obo/HP_0011096
T128 7531-7542 Phenotype denotes lymphopenia http://purl.obolibrary.org/obo/HP_0001888
T129 7547-7563 Phenotype denotes thrombocytopenia http://purl.obolibrary.org/obo/HP_0001873
T130 7987-8010 Phenotype denotes peripheral neuropathies http://purl.obolibrary.org/obo/HP_0009830
T131 8145-8153 Phenotype denotes Myopathy http://purl.obolibrary.org/obo/HP_0003198
T132 8182-8189 Phenotype denotes Myalgia http://purl.obolibrary.org/obo/HP_0003326
T133 8194-8201 Phenotype denotes fatigue http://purl.obolibrary.org/obo/HP_0012378
T134 8340-8365 Phenotype denotes increased creatine kinase http://purl.obolibrary.org/obo/HP_0003236
T135 8608-8615 Phenotype denotes Myalgia http://purl.obolibrary.org/obo/HP_0003326
T136 8669-8683 Phenotype denotes rhabdomyolysis http://purl.obolibrary.org/obo/HP_0003201
T137 8720-8732 Phenotype denotes Encephalitis http://purl.obolibrary.org/obo/HP_0002383
T138 8733-8745 Phenotype denotes Encephalitis http://purl.obolibrary.org/obo/HP_0002383
T139 8827-8839 Phenotype denotes encephalitis http://purl.obolibrary.org/obo/HP_0002383
T140 8848-8853 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T141 8855-8863 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T142 8865-8873 Phenotype denotes seizures http://purl.obolibrary.org/obo/HP_0001250
T143 8902-8922 Phenotype denotes behavioral disorders http://purl.obolibrary.org/obo/HP_0000708
T144 8959-8971 Phenotype denotes encephalitis http://purl.obolibrary.org/obo/HP_0002383
T145 9193-9205 Phenotype denotes encephalitis http://purl.obolibrary.org/obo/HP_0002383
T146 9270-9282 Phenotype denotes encephalitis http://purl.obolibrary.org/obo/HP_0002383
T147 9357-9369 Phenotype denotes encephalitis http://purl.obolibrary.org/obo/HP_0002383
T148 9390-9398 Phenotype denotes seizures http://purl.obolibrary.org/obo/HP_0001250
T149 9444-9476 Phenotype denotes nonconvulsive status epilepticus http://purl.obolibrary.org/obo/HP_0031475
T150 9478-9482 Phenotype denotes NCSE http://purl.obolibrary.org/obo/HP_0031475
T151 9548-9580 Phenotype denotes Nonconvulsive Status Epilepticus http://purl.obolibrary.org/obo/HP_0031475
T152 9693-9697 Phenotype denotes NCSE http://purl.obolibrary.org/obo/HP_0031475
T153 9705-9709 Phenotype denotes NCSE http://purl.obolibrary.org/obo/HP_0031475
T154 9879-9883 Phenotype denotes NCSE http://purl.obolibrary.org/obo/HP_0031475
T155 10001-10009 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T156 10047-10055 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T157 10203-10212 Phenotype denotes Headaches http://purl.obolibrary.org/obo/HP_0002315
T158 10352-10360 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T159 10378-10386 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T160 10477-10485 Phenotype denotes headache http://purl.obolibrary.org/obo/HP_0002315
T161 10543-10547 Phenotype denotes pain http://purl.obolibrary.org/obo/HP_0012531
T162 10617-10626 Phenotype denotes headaches http://purl.obolibrary.org/obo/HP_0002315
T163 10760-10769 Phenotype denotes headaches http://purl.obolibrary.org/obo/HP_0002315
T164 10832-10846 Phenotype denotes cytokine storm http://purl.obolibrary.org/obo/HP_0033041
T165 10900-10914 Phenotype denotes polyneuropathy http://purl.obolibrary.org/obo/HP_0001271
T166 10927-10937 Phenotype denotes neuropathy http://purl.obolibrary.org/obo/HP_0009830
T167 11446-11452 Phenotype denotes sepsis http://purl.obolibrary.org/obo/HP_0100806
T168 11655-11661 Phenotype denotes Stroke http://purl.obolibrary.org/obo/HP_0001297
T169 11817-11823 Phenotype denotes stroke http://purl.obolibrary.org/obo/HP_0001297
T170 11903-11915 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822
T171 12187-12205 Phenotype denotes movement disorders http://purl.obolibrary.org/obo/HP_0100022
T172 12337-12349 Phenotype denotes parkinsonism http://purl.obolibrary.org/obo/HP_0001300
T173 12360-12378 Phenotype denotes movement disorders http://purl.obolibrary.org/obo/HP_0100022
T174 13345-13365 Phenotype denotes respiratory distress http://purl.obolibrary.org/obo/HP_0002098
T175 13512-13525 Phenotype denotes heart failure http://purl.obolibrary.org/obo/HP_0001635
T176 13844-13864 Phenotype denotes respiratory distress http://purl.obolibrary.org/obo/HP_0002098
T177 13983-14002 Phenotype denotes respiratory failure http://purl.obolibrary.org/obo/HP_0002878

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
733 0-8 Disease denotes COVID-19 MESH:C000657245
758 808-818 Species denotes SARS-CoV-2 Tax:2697049
759 872-880 Species denotes patients Tax:9606
760 1039-1047 Species denotes patients Tax:9606
761 1498-1509 Species denotes coronavirus Tax:11118
762 77-85 Disease denotes COVID-19 MESH:C000657245
763 119-127 Disease denotes headache MESH:D006261
764 132-139 Disease denotes myalgia MESH:D063806
765 159-182 Disease denotes intracranial infections MESH:D007239
766 202-223 Disease denotes neurological symptoms MESH:D009422
767 360-368 Disease denotes COVID-19 MESH:C000657245
768 388-409 Disease denotes neurological symptoms MESH:D009422
769 552-562 Disease denotes infections MESH:D007239
770 684-689 Disease denotes COVID MESH:C000657245
771 701-740 Disease denotes neurological and neuromuscular symptoms MESH:D009422
772 898-906 Disease denotes COVID-19 MESH:C000657245
773 943-951 Disease denotes COVID-19 MESH:C000657245
774 1052-1066 Disease denotes encephalopathy MESH:D001927
775 1072-1080 Disease denotes delirium MESH:D003693
776 1081-1090 Disease denotes psychosis MESH:D011605
777 1249-1261 Disease denotes encephalitis MESH:D004660
778 1272-1287 Disease denotes ischemic stroke MESH:D002544
779 1309-1331 Disease denotes neurological disorders MESH:D009422
780 1387-1418 Disease denotes miscellaneous central disorders MESH:D002493
781 1431-1453 Disease denotes neurological disorders MESH:D009422
795 1686-1694 Species denotes patients Tax:9606
796 1800-1807 Species denotes patient Tax:9606
797 2090-2098 Species denotes patients Tax:9606
798 1677-1685 Disease denotes COVID-19 MESH:C000657245
799 1700-1721 Disease denotes neurological symptoms MESH:D009422
800 1925-1940 Disease denotes ischemic stroke MESH:D002544
801 1951-1975 Disease denotes intracerebral hemorrhage MESH:D002543
802 1989-2022 Disease denotes central nervous system vasculitis MESH:D020293
803 2081-2089 Disease denotes COVID-19 MESH:C000657245
804 2176-2183 Disease denotes myalgia MESH:D063806
805 2185-2193 Disease denotes headache MESH:D006261
806 2199-2208 Disease denotes dizziness MESH:D004244
807 2302-2307 Disease denotes death MESH:D003643
822 2362-2370 Species denotes Patients Tax:9606
823 2499-2507 Species denotes patients Tax:9606
824 2635-2643 Species denotes patients Tax:9606
825 2713-2721 Species denotes patients Tax:9606
826 2857-2865 Species denotes patients Tax:9606
827 2399-2407 Disease denotes COVID-19 MESH:C000657245
828 2513-2532 Disease denotes atrial fibrillation MESH:D001281
829 2549-2555 Disease denotes stroke MESH:D020521
830 2596-2625 Disease denotes amyotrophic lateral sclerosis MESH:D000690
831 2665-2674 Disease denotes infection MESH:D007239
832 2727-2747 Disease denotes muscular dystrophies MESH:D009136
833 2764-2812 Disease denotes weakness of ventilator muscles or cardiomyopathy MESH:D018908
834 2832-2840 Disease denotes COVID-19 MESH:C000657245
835 2883-2891 Disease denotes COVID-19 MESH:C000657245
837 2959-2973 Disease denotes Encephalopathy MESH:D001927
866 3033-3041 Species denotes patients Tax:9606
867 3182-3188 Species denotes people Tax:9606
868 3218-3224 Species denotes people Tax:9606
869 3774-3782 Species denotes patients Tax:9606
870 3956-3964 Species denotes patients Tax:9606
871 4133-4141 Species denotes patients Tax:9606
872 2974-2988 Disease denotes Encephalopathy MESH:D001927
873 3014-3032 Disease denotes infectious disease MESH:D003141
874 3045-3053 Disease denotes delirium MESH:D003693
875 3060-3074 Disease denotes brain disorder MESH:D001927
876 3194-3212 Disease denotes cognitive deficits MESH:D003072
877 3230-3242 Disease denotes hypertension MESH:D006973
878 3305-3313 Disease denotes COVID-19 MESH:C000657245
879 3323-3337 Disease denotes Cerebral edema MESH:D001929
880 3412-3426 Disease denotes encephalopathy MESH:D001927
881 3451-3459 Disease denotes COVID-19 MESH:C000657245
882 3500-3550 Disease denotes neurological damage and acute respiratory distress MESH:D012128
883 3587-3601 Disease denotes encephalopathy MESH:D001927
884 3617-3625 Disease denotes COVID-19 MESH:C000657245
885 3672-3680 Disease denotes COVID-19 MESH:C000657245
886 3765-3773 Disease denotes COVID-19 MESH:C000657245
887 3802-3810 Disease denotes delirium MESH:D003693
888 3850-3858 Disease denotes COVID-19 MESH:C000657245
889 3941-3955 Disease denotes critically ill MESH:D016638
890 4007-4015 Disease denotes delirium MESH:D003693
891 4056-4064 Disease denotes COVID-19 MESH:C000657245
892 4104-4112 Disease denotes delirium MESH:D003693
893 4124-4132 Disease denotes COVID-19 MESH:C000657245
900 4323-4331 Species denotes patients Tax:9606
901 4289-4297 Disease denotes Delirium MESH:D003693
902 4314-4322 Disease denotes COVID-19 MESH:C000657245
903 4622-4630 Disease denotes COVID-19 MESH:C000657245
904 4651-4659 Disease denotes delirium MESH:D003693
905 4781-4789 Disease denotes seizures MESH:D012640
924 4947-4955 Species denotes patients Tax:9606
925 4999-5007 Species denotes patients Tax:9606
926 5358-5365 Species denotes patient Tax:9606
927 5385-5393 Species denotes patients Tax:9606
928 4907-4921 Disease denotes encephalopathy MESH:D001927
929 4926-4934 Disease denotes delirium MESH:D003693
930 4938-4946 Disease denotes COVID-19 MESH:C000657245
931 4978-4986 Disease denotes Delirium MESH:D003693
932 4990-4998 Disease denotes COVID-19 MESH:C000657245
933 5046-5054 Disease denotes delirium MESH:D003693
934 5184-5192 Disease denotes COVID-19 MESH:C000657245
935 5204-5212 Disease denotes delirium MESH:D003693
936 5253-5279 Disease denotes necrotizing encephalopathy MESH:D001927
937 5349-5357 Disease denotes COVID-19 MESH:C000657245
938 5434-5442 Disease denotes delirium MESH:D003693
939 5470-5478 Disease denotes delirium MESH:D003693
940 5498-5507 Disease denotes mortality MESH:D003643
941 5522-5542 Disease denotes cognitive impairment MESH:D003072
950 5816-5824 Species denotes patients Tax:9606
951 5566-5574 Disease denotes COVID-19 MESH:C000657245
952 5586-5600 Disease denotes encephalopathy MESH:D001927
953 5659-5666 Disease denotes hypoxia MESH:D000860
954 5766-5773 Disease denotes hypoxia MESH:D000860
955 5795-5803 Disease denotes delirium MESH:D003693
956 5807-5815 Disease denotes COVID-19 MESH:C000657245
957 5914-5933 Disease denotes respiratory failure MESH:D012131
968 5976-5984 Species denotes patients Tax:9606
969 6221-6229 Species denotes patients Tax:9606
970 6252-6260 Species denotes patients Tax:9606
971 6386-6394 Species denotes patients Tax:9606
972 5967-5975 Disease denotes COVID-19 MESH:C000657245
973 5990-6023 Disease denotes multisystem inflammatory syndrome MESH:D056587
974 6057-6078 Disease denotes neurological symptoms MESH:D009422
975 6088-6102 Disease denotes encephalopathy MESH:D001927
976 6104-6113 Disease denotes headaches MESH:D006261
977 6341-6375 Disease denotes myopathic and neuropathic deficits MESH:D012678
986 6646-6656 Species denotes SARS-CoV-2 Tax:2697049
987 6723-6741 Species denotes Epstein-Barr virus Tax:10376
988 7175-7185 Species denotes Zika virus Tax:64320
989 6705-6714 Species denotes influenza Tax:11320
990 6880-6892 Chemical denotes gangliosides MESH:D005732
991 6531-6544 Disease denotes demyelination MESH:D003711
992 6679-6695 Disease denotes viral infections MESH:D001102
993 7107-7143 Disease denotes para-infectious neurological disease MESH:D003141
1006 7271-7282 Species denotes coronavirus Tax:11118
1007 7457-7464 Species denotes patient Tax:9606
1008 7505-7512 Species denotes patient Tax:9606
1009 7386-7394 Disease denotes COVID-19 MESH:C000657245
1010 7451-7456 Disease denotes COVID MESH:C000657245
1011 7531-7542 Disease denotes lymphopenia MESH:D008231
1012 7547-7563 Disease denotes thrombocytopenia MESH:D013921
1013 7583-7591 Disease denotes COVID-19 MESH:C000657245
1014 7630-7638 Disease denotes COVID-19 MESH:C000657245
1015 7707-7715 Disease denotes COVID-19 MESH:C000657245
1016 7784-7793 Disease denotes infection MESH:D007239
1017 7843-7851 Disease denotes COVID-19 MESH:C000657245
1019 7998-8010 Disease denotes neuropathies MESH:D009422
1021 8145-8181 Disease denotes Myopathy and neuromuscular disorders MESH:D009135
1035 8350-8365 Gene denotes creatine kinase Gene:51727
1036 8367-8369 Gene denotes CK Gene:51727
1037 8258-8266 Species denotes patients Tax:9606
1038 8300-8308 Species denotes patients Tax:9606
1039 8497-8505 Species denotes patients Tax:9606
1040 8650-8658 Species denotes patients Tax:9606
1041 8182-8189 Disease denotes Myalgia MESH:D063806
1042 8194-8201 Disease denotes fatigue MESH:D005221
1043 8225-8233 Disease denotes COVID-19 MESH:C000657245
1044 8249-8257 Disease denotes COVID-19 MESH:C000657245
1045 8488-8496 Disease denotes COVID-19 MESH:C000657245
1046 8608-8615 Disease denotes Myalgia MESH:D063806
1047 8669-8683 Disease denotes rhabdomyolysis MESH:D012206
1049 8720-8732 Disease denotes Encephalitis MESH:D004660
1069 8982-8989 Species denotes patient Tax:9606
1070 9026-9036 Species denotes SARS-CoV-2 Tax:2697049
1071 9152-9159 Species denotes patient Tax:9606
1072 9230-9238 Species denotes patients Tax:9606
1073 8733-8745 Disease denotes Encephalitis MESH:D004660
1074 8749-8761 Disease denotes inflammation MESH:D007249
1075 8794-8809 Disease denotes viral infection MESH:D001102
1076 8827-8839 Disease denotes encephalitis MESH:D004660
1077 8848-8853 Disease denotes fever MESH:D005334
1078 8855-8863 Disease denotes headache MESH:D006261
1079 8865-8873 Disease denotes seizures MESH:D012640
1080 8902-8922 Disease denotes behavioral disorders MESH:D001523
1081 8959-8971 Disease denotes encephalitis MESH:D004660
1082 8995-9003 Disease denotes COVID-19 MESH:C000657245
1083 9180-9188 Disease denotes COVID-19 MESH:C000657245
1084 9193-9205 Disease denotes encephalitis MESH:D004660
1085 9244-9252 Disease denotes COVID-19 MESH:C000657245
1086 9270-9282 Disease denotes encephalitis MESH:D004660
1087 9307-9327 Disease denotes respiratory symptoms MESH:D012818
1101 9343-9351 Species denotes patients Tax:9606
1102 9502-9510 Species denotes patients Tax:9606
1103 9830-9838 Species denotes patients Tax:9606
1104 9869-9877 Species denotes patients Tax:9606
1105 9967-9975 Species denotes patients Tax:9606
1106 9334-9342 Disease denotes COVID-19 MESH:C000657245
1107 9357-9369 Disease denotes encephalitis MESH:D004660
1108 9390-9398 Disease denotes seizures MESH:D012640
1109 9444-9476 Disease denotes nonconvulsive status epilepticus MESH:D013226
1110 9548-9580 Disease denotes Nonconvulsive Status Epilepticus MESH:D013226
1111 9815-9829 Disease denotes critically ill MESH:D016638
1112 9860-9868 Disease denotes comatose MESH:D003128
1113 9958-9966 Disease denotes COVID-19 MESH:C000657245
1116 9991-10000 Disease denotes Cephalgia MESH:D006261
1117 10001-10009 Disease denotes headache MESH:D006261
1136 10088-10096 Species denotes patients Tax:9606
1137 10271-10279 Species denotes patients Tax:9606
1138 10302-10310 Species denotes patients Tax:9606
1139 10047-10055 Disease denotes headache MESH:D006261
1140 10175-10195 Disease denotes SARS-CoV-2 infection MESH:C000657245
1141 10203-10212 Disease denotes Headaches MESH:D006261
1142 10262-10270 Disease denotes COVID-19 MESH:C000657245
1143 10293-10301 Disease denotes COVID-19 MESH:C000657245
1144 10352-10360 Disease denotes headache MESH:D006261
1145 10378-10386 Disease denotes headache MESH:D006261
1146 10468-10476 Disease denotes COVID-19 MESH:C000657245
1147 10477-10485 Disease denotes headache MESH:D006261
1148 10506-10515 Disease denotes cephalgia MESH:D006261
1149 10543-10547 Disease denotes pain MESH:D010146
1150 10617-10626 Disease denotes headaches MESH:D006261
1151 10665-10673 Disease denotes COVID-19 MESH:C000657245
1152 10674-10683 Disease denotes infection MESH:D007239
1153 10760-10769 Disease denotes headaches MESH:D006261
1156 10883-10914 Disease denotes Critical-illness polyneuropathy MESH:D011115
1157 10916-10919 Disease denotes CIP MESH:D010259
1168 10960-10968 Species denotes patients Tax:9606
1169 11037-11044 Species denotes patient Tax:9606
1170 11514-11522 Species denotes patients Tax:9606
1171 10921-10937 Disease denotes Acute neuropathy MESH:D000208
1172 10941-10944 Disease denotes CIP MESH:D010259
1173 11009-11012 Disease denotes CIP MESH:D010259
1174 11099-11102 Disease denotes CIP MESH:D010259
1175 11367-11370 Disease denotes CIP MESH:D010259
1176 11446-11452 Disease denotes sepsis MESH:D018805
1177 11505-11513 Disease denotes COVID-19 MESH:C000657245
1179 11538-11564 Disease denotes Cerebrovascular conditions MESH:D002561
1196 12023-12041 Gene denotes C-reactive protein Gene:1401
1197 11729-11737 Species denotes patients Tax:9606
1198 11836-11844 Species denotes patients Tax:9606
1199 12142-12150 Species denotes patients Tax:9606
1200 11639-11647 Disease denotes COVID-19 MESH:C000657245
1201 11655-11661 Disease denotes Stroke MESH:D020521
1202 11720-11728 Disease denotes COVID-19 MESH:C000657245
1203 11817-11823 Disease denotes stroke MESH:D020521
1204 11827-11835 Disease denotes COVID-19 MESH:C000657245
1205 11882-11890 Disease denotes COVID-19 MESH:C000657245
1206 11903-11915 Disease denotes hypertension MESH:D006973
1207 11917-11925 Disease denotes diabetes MESH:D003920
1208 11927-11951 Disease denotes cerebrovascular diseases MESH:D002561
1209 12066-12092 Disease denotes Cerebrovascular conditions MESH:D002561
1210 12108-12129 Disease denotes neurological symptoms MESH:D009422
1211 12133-12141 Disease denotes COVID-19 MESH:C000657245
1215 12158-12177 Disease denotes Parkinson’s disease MESH:D010300
1216 12179-12181 Disease denotes PD MESH:D010300
1217 12187-12205 Disease denotes movement disorders MESH:D009069
1236 12437-12445 Species denotes patients Tax:9606
1237 12546-12554 Species denotes patients Tax:9606
1238 12641-12654 Species denotes coronaviruses Tax:11118
1239 12694-12702 Species denotes patients Tax:9606
1240 12775-12786 Species denotes coronavirus Tax:11118
1241 12911-12917 Species denotes people Tax:9606
1242 13060-13073 Species denotes coronaviruses Tax:11118
1243 12222-12224 Disease denotes PD MESH:D010300
1244 12337-12349 Disease denotes parkinsonism MESH:D010302
1245 12360-12378 Disease denotes movement disorders MESH:D009069
1246 12455-12457 Disease denotes PD MESH:D010300
1247 12470-12472 Disease denotes PD MESH:D010300
1248 12490-12511 Disease denotes neurological disorder MESH:D009422
1249 12543-12545 Disease denotes PD MESH:D010300
1250 12714-12736 Disease denotes neurological disorders MESH:D009422
1251 12845-12847 Disease denotes PD MESH:D010300
1252 13003-13005 Disease denotes PD MESH:D010300
1253 13035-13043 Disease denotes zoonotic MESH:D015047
1269 13133-13141 Species denotes patients Tax:9606
1270 13297-13308 Species denotes respiratory Tax:12814
1271 13147-13149 Disease denotes PD MESH:D010300
1272 13178-13186 Disease denotes COVID-19 MESH:C000657245
1273 13231-13239 Disease denotes COVID-19 MESH:C000657245
1274 13265-13267 Disease denotes PD MESH:D010300
1275 13345-13365 Disease denotes respiratory distress MESH:D012128
1276 13383-13393 Disease denotes infections MESH:D007239
1277 13405-13413 Disease denotes COVID-19 MESH:C000657245
1278 13434-13436 Disease denotes PD MESH:D010300
1279 13487-13510 Disease denotes cerebrovascular disease MESH:D002561
1280 13512-13525 Disease denotes heart failure MESH:D006333
1281 13531-13554 Disease denotes coronary artery disease MESH:D003324
1282 13575-13582 Disease denotes elevate MESH:D006973
1283 13609-13617 Disease denotes COVID-19 MESH:C000657245
1294 14259-14264 Gene denotes ACE-2 Gene:59272
1295 13754-13764 Species denotes SARS-CoV-2 Tax:2697049
1296 13916-13923 Species denotes patient Tax:9606
1297 14174-14184 Species denotes SARS-CoV-2 Tax:2697049
1298 14504-14514 Species denotes SARS-CoV-2 Tax:2697049
1299 14555-14563 Species denotes patients Tax:9606
1300 13844-13876 Disease denotes respiratory distress and failure MESH:D012131
1301 13907-13915 Disease denotes COVID-19 MESH:C000657245
1302 13983-14002 Disease denotes respiratory failure MESH:D012131
1303 14585-14611 Disease denotes COVID-related brain damage MESH:C000657245